Neural Networks and Artificial Intelligence - Science topic

Many research institutions have included among the main types of threats and risks developing globally in 2023 the question of the increase in the scale of organized disinformation operating in online social media. The diagnosed increase in the scale of disinformation generated in online social media is related to the use of applications available on the Internet based on generative artificial intelligence technology. With the help of applications available on the Internet, it is possible without being a computer graphic designer and even without artistic skills to simply and easily create graphics, drawings, photos, images, videos, animations, etc., which can represent graphically professionally created “works” that can depict fictional events. Then, with the help of other applications equipped with generative artificial intelligence technology and advanced language models, i.e. with the help of intelligent chatbots, text can be created to describe specific “fictional events” depicted in the generated images. Accordingly, since the end of 2022, i.e. since the first such intelligent chatbot, i.e. the first versions of ChatGPT, were made available on the Internet, the number of memes, photos, comments, videos, posts, banners, etc. generated with the help of applications equipped with tools based on artificial intelligence technology has been growing rapidly, including the rapid increase in the scale of disinformation generated in this way. In order to limit the scale of the aforementioned disinformation developing in online media, on the one hand, technology companies running social media portals and other online information services are perfecting tools for identifying posts, entries, comments, banners, photos, videos, animations, etc. that contain specific, usually thematic types of disinformation. However, these solutions are not perfect, and the scales of disinformation operating in internecine social media are still high. On the other hand, specific institutions for combating disinformation are being established, NGOs and schools are conducting educational campaigns to make citizens aware of the high scale of disinformation developing on the Internet. In addition, proposed regulations such as the AIAct, which as a set of regulations on the proper use of tools equipped with artificial intelligence technology is expected to come into force in the next 2 years in the European Union may play an important role in reducing the scale of disinformation developing on the Internet.

I have described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

As information systems that allow the largely automated performance of Business Intelligence analytics become an important factor in supporting the process of business management, so the importance of the new technologies of Industry 4.0/5.0, including generative artificial intelligence and Big Data Analytics, to improve the said analytical processes is growing. On the one hand, the obvious point is that the application of generative artificial intelligence technology and Big Data Analytics can improve the processes of predictive analytics carried out within the framework of Business Intelligence, and thus the effectiveness of business, economic and financial analytics supporting the management process of an organization, enterprise, company, corporation, etc. can be increased. However, on the other hand, it is also important to precisely define the determinants that determine the performance of such analytical processes, to point out the role of the new technologies of Industry 4.0/5.0, including generative artificial intelligence and Big Data Analytics technologies in the processes of predictive analytics carried out within the framework of Business Intelligence, and to estimate the extent of the influence of these technologies on the improvement of the said analytical processes.

I am conducting research on this issue. I have included the conclusions of my research in the following article:

I invite you to familiarize yourself with the problems described in the publications given above and to cooperate with me in scientific research on these problems.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

Can the application of generative artificial intelligence technology and Big Data Analytics improve the processes of predictive analytics carried out within the framework of Business Intelligence and thus the effectiveness of business, economic and financial analytics supporting the management process of an organization, enterprise, company, corporation, etc., can be increased? And if so, how and to what extent?

Can the use of generative artificial intelligence and Big Data Analytics technologies improve the processes of predictive analytics performed as part of Business Intelligence?

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

Among the areas in which applications based on generative artificial intelligence are now rapidly finding application are marketing communication processes realized within the framework of Internet marketing, within the framework of social media advertising campaigns. More and more advertising agencies are using generative artificial intelligence technology to create images, graphics, animations and videos that are used in advertising campaigns. Thanks to the use of generative artificial intelligence technology, the creation of such key elements of marketing communication materials has become much simpler and cheaper and their creation time has been significantly reduced. On the other hand, thanks to the applications already available on the Internet based on generative artificial intelligence technology that enable the creation of photos, graphics, animations and videos, it is no longer only advertising agencies employing professional cartoonists, graphic designers, screenwriters and filmmakers that can create professional marketing materials and advertising campaigns. Thanks to the aforementioned applications available on the Internet, graphic design platforms, including free smartphone apps offered by technology companies, advertising spots and entire advertising campaigns can be designed, created and executed by Internet users, including online social media users, who have not previously been involved in the creation of graphics, banners, posters, animations and advertising videos. Thus, opportunities are already emerging for Internet users who maintain their social media profiles to professionally create promotional materials and advertising campaigns. On the other hand, generative artificial intelligence technology can be used unethically within the framework of generating disinformation, informational factoids and deepfakes. The significance of this problem, including the growing disinformation on the Internet, has grown rapidly in recent years. The deepfake image processing technique involves combining images of human faces using artificial intelligence techniques.

In order to reduce the scale of disinformation spreading on the Internet media, it is necessary to create a universal system for labeling photos, graphics, animations and videos created using generative artificial intelligence technology. On the other hand, a key factor facilitating the development of such a problem of generating disinformation is that many legal issues related to the technology have not yet been settled. Therefore, it is also necessary to refine legal norms on copyright issues, intellectual property protection that take into account the creation of works that have been created using generative artificial intelligence technology. In addition to this, social media companies should constantly improve tools for detecting and removing graphic and/or video materials created using deepfake technology.

I have described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

Conducting a SWOT analysis of the applications of artificial intelligence technology in business, in the business activities of companies and enterprises, shows that there are both many already and developing many more business applications of the said technology, i.e., many potential development opportunities are recognized in this field of using the achievements of the current fourth and/or fifth technological revolution in various spheres of business activity, as well as there are many risks arising from inappropriate, incompatible with the prevailing social norms, standards of reliable business activity, incompatible with business ethics use of new technologies. Among some of the most recognized negative aspects of improper use of generative artificial intelligence technology is the use of AI-equipped graphic applications available on the Internet that allow for the simple and easy generation of photos, graphics, images, videos and animations that, in the form of very realistically presented images, photos, videos, etc., depict something that never happened in reality, i.e., they graphically present images or videos presenting what could be described as “fictitious facts” in a very professional manner. In this way, Internet users can become disinformation generators in online social media, where they can post the said generated images, photos, videos, etc. with added descriptions, posts, comments, in which the said “fictitious facts” presented in the photos or videos will also be described in an editorially correct manner. Besides, the mentioned descriptions, posts, entries, comments, etc. can also be edited with the help of intelligent chatbots available on the Internet like Chat GPT, Copilot, Gemini, etc. However, misinformation is not the only serious problem as it has significantly intensified after OpenAI released the first versions of ChatGPT chatbot online in November 2021. A new category of technical operational risk associated with the new AI technology applied has emerged in companies and enterprises that implement generative artificial intelligence technology into various spheres of business. In addition, there is a growing scale of risks arising from conflicts of interest between business entities related to not fully regulated copyright issues of works created using applications and information systems equipped with generative artificial intelligence technology. Accordingly, there is a demand for the development of a standard of a kind of digital signature with the help of which works created with the help of AI technology will be electronically signed, so that each such work will be unique, unrepeatable and whose counterfeiting will thus be seriously hampered. However, these are only some of the negative aspects of the developing applications of AI technologies, for which there are no functioning legal norms. In the middle of 2023 and then in the spring of 2024, European Union bodies made public the preliminary versions of the developed legal norms on the proper, business-ethical use of technology in business, which were given the name AI Act. The legal normatives, referred to as the AIAct, contain a number of specific, defined types of AI technology applications deemed inappropriate, unethical, i.e. those that should not be used. The AIAct contains classified according to different levels of negative impact on society various types and specific examples of inappropriate and unethical use of AI technologies in the context of various aspects of business as well as non-business activities. An important issue to consider is the scale of the commitment of technology companies developing AI technologies to respect such regulations so that issues of ethical use of this technology are also defined as much as possible in technological aspects in companies that create, develop and implement these technologies. Besides, in order for AIACT's legal norms, when they come into force, not to be dead, it is necessary to introduce both sanction instruments in the form of specific penalties for business entities that use artificial intelligence technologies unethically, antisocially, contrary to AIAct. On the other hand, it would also be a good solution to introduce a system of rewarding those companies and businesses that make the most proper, pro-social, in accordance with the provisions of the AIAct, fully ethical use of AI technologies. In view of the fact that AIACT is to come into force only in more than 2 years so it is necessary to constantly monitor the development of AI technology, verify the validity of the provisions of AIAct in the face of dynamically developing AI technology, successively amend the provisions of the said legal norms, so that when they come into force they do not turn out to be outdated. In view of the above, it is to be hoped that, despite the rapid technological progress, the provisions on the ethical applications of artificial intelligence technology will be constantly updated and the legal normatives shaping the development of AI technology will be amended accordingly. If AIAct achieves the above-mentioned goals to a significant extent, ethical applications of AI technology should be implemented in the future, and the technology can be referred to as ethical generative artificial intelligence, which is finding new applications.

The key issues of opportunities and threats to the development of artificial intelligence technology are described in my article below:

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

In recent years, more and more perfect robots equipped with artificial intelligence have been developed. New generations of artificial intelligence and/or machine learning technologies, when equipped with software that enables the creation of unique works, new creations, creative solutions, etc., can create a kind of artwork in the chosen field of creativity and artistry. If we connect a 3D printer to a robot equipped with an artificial intelligence system that is capable of designing and producing beautiful sculptures, can we thus obtain a kind of work of art?

When a robot equipped with an artificial intelligence system paints beautiful pictures, can the resulting works be considered fully artistic works of art?

If NO, why not?

And if YES, then who is the artist of the works of art created in this way, is it a robot equipped with artificial intelligence that creates them or a human being who created this artificial intelligence and programmed it accordingly?

What is your opinion on this topic?

What do you think about this topic?

Please reply,

I invite you all to discuss,

Thank you very much,

Best regards,

Dariusz Prokopowicz

Bonjour,

Je réalise mon mémoire de fin d'étude qui vise à étudier l'impact de l'intelligence artificielle sur la productivité au sein des entreprises.

Cette étude s'adresse principalement à ceux parmi vous qui développent des IA ou qui utilisent ces technologies dans leur environnement professionnel.

Ce questionnaire ne vous prendra pas plus de 5 minutes et votre participation est confidentielle !

Je vous remercie par avance pour votre temps et votre contribution !

Pour participer, veuillez cliquer sur le lien ci-dessous : https://forms.gle/8tc21iJyiBP8AGYP6

In recent years, the scale of application of ICT and Industry 4.0/5.0, including Big Data Analytics and Artificial Intelligence technologies in financial institutions, including commercial banks, has been increasing. The banking sector is among those sectors of the economy where the implementation of new information technologies used to build banking information systems is progressing rapidly. This process in highly developed countries has been taking place since the 1960s. Subsequently, the development of computer science, personal computer technology in the 1970s and 1980s, the development of the Internet and business applications of Internet technology since the 1990s and then the development of technologies typical of Industry 4.0/5.0 set the trends of technological progress, the effects of which in the form of new technological solutions quickly found applications in financial institutions. Commercial banks operating in the model of classic deposit-credit banking usually generate the largest part of their revenues from the sale of bank loans and credits. Large universal banks also develop selected elements of investment banking, in which they finance the construction of housing estates through their own development companies, make financial transactions with securities, financial transactions in foreign exchange markets and other capital markets. In all these areas of activity, the key categories of banking risk that banks manage include credit and interest rate risk and other financial risks, i.e. liquidity risk, debt risk. In addition, the key categories of risk that the bank manages in its banking operations include asset-liability mismatch risk in the balance sheet and various categories of operational risks related to the performance of certain activities at the bank, including personnel operational risk related to the staff employed, technical operational risk related to the technical equipment used, system operational risk related to the IT systems used, etc. On the other hand, risks operating in the bank's environment and affecting the bank's operations and indirectly also the bank's financial performance include market risk of changes in the prices of specific assortments relating to specific markets in which banks operate; foreign exchange risk associated with transactions made using different currencies; investment risk within investment banking; systemic risk associated with the functioning of the financial system; political risk associated with the government's economic policy; risks of high volatility of macroeconomic development of the economy associated with changes in the economy's economic situation in the context of business cycles realized on a multi-year scale, etc. However, in a situation where lending activities are the main types of sources of income for a commercial bank then a particularly important category of banking risk that the bank manages is credit risk. On the other hand, due to the rapid development of electronic, Internet and mobile banking, cyber risk management is also growing in importance. New ICT information technologies and Industry 4.0/5.0, including Big Data Analytics and Artificial Intelligence technologies, can be increasingly helpful in managing each of the aforementioned risk categories. The aforementioned new technologies prove to be particularly helpful in the situation of their effective implementation into banking activities in order to improve the processes of managing, among other things, credit risk. An important element of individual credit risk management, i.e. with regard to individual credit transactions, are the methodologies, procedures, processes, etc. concerning the analysis of a potential borrower's creditworthiness and credit risk arising from a bank loan carried out in commercial banks. In view of the above, the implementation of new technologies to support the implementation of the processes of examining the creditworthiness of potential borrowers and improving, among other things, credit scoring analytics, are particularly important aspects of credit risk management, which may translate into increased profitability of commercial banks' bank lending activities.

I described selected issues of improving credit risk management processes, including the issue of screening the creditworthiness of potential borrowers and credit scoring analytics, in an article of my co-authorship:

Determinants of credit risk management in the context of the development of the derivatives market and the cyclical conjuncture economic processes

IMPROVING MANAGING THE CREDIT RISK IN CONDITIONS SLOWING ECONOMIC GROWTH

THE IMPLEMENTATION OF AN INTEGRATED CREDIT RISK MANAGEMENT IN OPERATING IN POLAND COMMERCIAL BANKS

Importance and implementation of improvement process of prudential instruments in commercial banks on the background of anti-crisis socio-economic policy in Poland

GLOBALIZATIONAL AND NORMATIVE DETERMINANTS OF THE IMPROVEMENT OF THE BANKING CREDIT RISK MANAGEMENT IN POLAND

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

As part of today's rapid technological advances, new technologies are being developed for Industry 4.0, including but not limited to artificial intelligence, machine learning, robotization, Internet of Things, cloud computing, Big Data Analytics, etc. The aforementioned technologies are being applied in various industries and sectors. The development of artificial intelligence generates opportunities for its application in various spheres of companies, enterprises and institutions; in various industries and services; improving the efficiency of business operations by increasing the scale of process automation; increasing the scale of business efficiency, increasing the ability to process large sets of data and information; increasing the scale of implementation of new business models based on large-scale automation of manufacturing processes, etc.

However, developing artificial intelligence uncontrollably generates serious risks, such as increasing the scale of disinformation, emerging fake news, including banners, memes containing artificial intelligence crafted photos, graphics, animations, videos presenting "fictitious facts", i.e. in a way that apparently looks very realistic describing, depicting events that never happened. In this way, intelligent but not fully perfect chatbots create so-called hallucinations. Besides, by analogy, just like many other technologies, applications available on the Internet equipped with generative artificial intelligence technology can be used not only in positive but also in negative applications.

On the one hand, there are new opportunities to use generative AI as a new tool to improve the work of computer graphic designers and filmmakers. On the other hand, there are also controversies about the ethical aspects and the necessary copyright regulations for works created using artificial intelligence. Sometimes copyright settlements are not clear-cut. This is the case when it cannot be precisely determined whether plagiarism has occurred, and if so, to what extent. Ambiguity on this issue can also generate various court decisions regarding, for example, the recognition or non-recognition of copyrights granted to individuals using Internet applications or information systems equipped with certain generative artificial intelligence solutions, who act as creators who create a kind of cultural works and/or works of art in the form of graphics, photos, animations, films, stories, poems, etc. that have the characteristics of uniqueness and uniqueness.

However, this is probably not the case since, for example, the company OpenAI may be in serious trouble because of allegations by the editors of the New York Times Journal suggesting that ChatGPT was trained on data and information from, among other things, online news portals run by the editors of the aforementioned journal. Well, in December 2023, the New York Times filed a lawsuit against OpenAI and Microsoft accusing them of illegally using the newspaper's articles to train its chatbots, ChatGPT and Bing. According to the newspaper, the companies used millions of texts in violation of copyright laws, creating a service based on them that competes with the newspaper. The New York Times is demanding billions of dollars in damages.In view of the above, there are all sorts of risks of potentially increasing the scale of influence on public opinion, the formation of the general public consciousness by organizations operating without respect for the law. On the one hand, it is necessary to create digital computerized and standardized tools, diagnostic information systems, to build a standardized system of labels informing users, customers, citizens using certain solutions, products and services that they are the products of artificial intelligence, not man. On the other hand, on the other hand, there should be regulations obliging to inform that a certain service or product was created as a result of work done not by humans, but by artificial intelligence. Many issues concerning the socially, ethically and business-appropriate use of artificial intelligence technology will be normatively regulated in the next few years.

Regulations defining the proper use of artificial intelligence technologies by companies developing applications based on these technologies, making these applications available on the Internet, as well as Internet users, business entities and institutions using intelligent chatbots to improve the operation of certain spheres of economic, business activities, etc., are being processed, enacted, but will come into force only in a few years.

On June 14, 2023, the European Parliament passed a landmark piece of legislation regulating the use of artificial intelligence technology. However, since artificial intelligence technology, mainly generative artificial intelligence, is developing rapidly and the currently formulated regulations are scheduled to be implemented between 2026 and 2027, so on the one hand, operators using this technology have plenty of time to bring their procedures and products in line with the supported regulations. On the other hand, one cannot exclude the scenario that, despite the attempt to fully regulate the development of applications of this technology through the implementation of a law on the proper, safe and ethical use of artificial intelligence, it will again turn out in 2027 that the dynamic technological progress is ahead of the legislative process that rapidly developing technologies are concerned with.

I have described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

Perhaps in the future - as a result of the rapid technological advances currently taking place and the rivalry of leading technology companies developing AI technologies - a general artificial intelligence (AGI) will emerge. At present, there are unresolved deliberations on the question of new opportunities and threats that may occur as a result of the construction and development of general artificial intelligence in the future. The rapid technological progress currently taking place in the field of generative artificial intelligence in connection with the already high level of competition among technology companies developing these technologies may lead to the emergence of a super artificial intelligence, a strong general artificial intelligence that can achieve the capabilities of self-development, self-improvement and perhaps also autonomy, independence from humans. This kind of scenario may lead to a situation where this kind of strong, super AI or general artificial intelligence is out of human control. Perhaps this kind of strong, super, general artificial intelligence will be able, as a result of self-improvement, to reach a state that can be called artificial consciousness. On the one hand, new possibilities can be associated with the emergence of this kind of strong, super, general artificial intelligence, including perhaps new possibilities for solving the key problems of the development of human civilization. However, on the other hand, one should not forget about the potential dangers if this kind of strong, super, general artificial intelligence in its autonomous development and self-improvement independent of man were to get completely out of the control of man. Probably, whether this will involve mainly new opportunities or rather new dangers for mankind will mainly be determined by how man will direct this development of AI technology while he still has control over this development.

I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

There is currently much speculation on when AGI may be achieved if at all. Recent advancements in AI technology from ChatGPT’s SORA to NVIDIA’s robotics have fueled the belief that AGI is near- with some speculating that it is a soon as 7 months away. Discussions regarding capabilites of Q star, developed by OpenAI have made some move their predictions sooner. However, other experts like LeCunn remain skeptical and view AGI as still much farther ahead. Of course, much of this depends on the underlying definition of AGI.

When in your view will AGI be achieved, if ever?

Recently, rapid development of ICT and Industry 4.0/5.0 technologies is taking place, including Big Data, Internet of Things, cloud computing, digital twins, multi-criteria simulation models, machine learning, deep learning and generative artificial intelligence, among others. Developments in generative artificial intelligence technology are being made through the use of artificial neural networks, among others. New applications of generative artificial intelligence are determined by the previously carried out process of GAI system training, i.e. teaching the implementation of specific skills, performing complex tasks, performing new functions, solving specific problems intelligently using deep learning technology. Increasingly, generative artificial intelligence technology is being trained to intelligently perform complex research and analysis processes. Among other things, this kind of application of generative artificial intelligence is the implementation of this technology for business analytics carried out using large sets of data and information, i.e. analytics carried out on computerized business intelligence and Big Data Analytics platforms. This type of analytics is being applied in various fields of knowledge, various sectors of the economy, various companies, enterprises, financial and public institutions. This type of analytics is also increasingly used in improving research processes and increasing the efficiency of complex analytical processes carried out as part of ongoing research in various scientific disciplines. Since OpenAI's ChatGPT chatbot was made available on the Internet, i.e. since November 2022, more similar intelligent chatbots created by other leading technology companies have been successively appearing. The intelligent chatbots made available on the Internet are used, among other things, in the development of the results of scientific research conducted, in the execution of certain stages of analytical processes, in the processing of results obtained from scientific research conducted, etc. The increase in the application of intelligent chatbots in research and analytical processes is due to the simplicity of operation of these chatbots, their availability on the Internet in the formula of open access, the ability of these tools to implement complex research processes, multi-criteria analysis, intelligent problem solving. On the other hand, the possibilities of applying the aforementioned chatbots in the processes of conducted scientific research are still severely limited due to the many imperfections of the databases on which certain generative artificial intelligence systems were trained. It still happens that the databases of data and information on which the said GAI systems were trained contain data and information in many respects outdated, incomplete, in the course of the "work" of these tools certain data and information can be "creatively" combined so that in the results of the work of a certain intelligent chatbot there are often "fictitious facts", ie. generated new and factually inconsistent content, factual errors, misrepresentations, falsehoods, which can be presented and described within the phraseologically, syntactically, stylistically correct essays, papers, articles, etc., written by generative artificial intelligence. Besides, the textual and other studies created by these tools often do not show all the data sources, all the source publications, all the materials that the chatbot used in drawing certain data and information while creating the commissioned human textual, graphic work, etc. Besides, even if the sources of data and information are partially shown, they are often shown in an incomplete way, inconsistent with the current standards for showing and compiling source and bibliographic footnotes. Perhaps, in the future, the aforementioned, used currently made available on the Internet intelligent chatbots will be sufficiently improved, corrected, supplemented so that they can be used by researchers and scientists in specific research, analytical processes within the framework of ongoing scientific research to a fuller extent and without the currently existing risks. Therefore, the development of intelligent chatbots available on the Internet based on generative artificial intelligence currently both negatively and positively can affect the development of science, the development of scientific research, the analysis of data from conducted research, the description of results obtained from conducted research, the writing and publishing of scientific texts, etc. Whether serious risks are generated or rather positive aspects prevail with the application of currently available intelligent chatbots on the Internet in certain aspects of the research and analysis processes carried out as part of the scientific research conducted depends on a number of factors. On the one hand, it depends on whether the technology company developing the said intelligent chatbots keeps improving them, enhancing them and expanding them with new functions and skills. On the other hand, it also depends on whether such cultivated specific research and analytical tools are used prudently by researchers and scientists with knowledge of the drawbacks and limitations associated with the use of these tools.

I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

The recent rapid development of generative artificial intelligence applications is increasingly changing labor markets. The development of generative artificial intelligence applications is increasing the scale of objectification of work performed within various professions. On the one hand, generative artificial intelligence technologies are finding more and more applications in companies, enterprises and institutions increasing the efficiency of certain business processes supporting employees working in various positions. However, there are increasing considerations about the possibility of black scenarios coming true in futurological projections suggesting that in the future many jobs will be completely replaced by autonomic AI-equipped robots, androids or systems operating in cloud computing. On the other hand, in opposition to the black scenarios of future developments in labor markets are contrasted with more positive scenarios presenting futuristic projections of the development of labor markets, where new professions will be created thanks to the implementation of generative artificial intelligence technology into various aspects of economic activity. Which of these two scenarios will be realized to a greater extent in the future is currently not easy to predict precisely.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

Assuming that if man succeeds in building a general, general artificial intelligence, i.e. AI technology capable of self-improvement, independent development and perhaps also obtaining a state of artificial consciousness then perhaps this will mean that man has fully learned the essence of his own intelligence and consciousness. If this happens, what will be the result? Will man first learn the essence of his own intelligence and consciousness and then build a general, general artificial intelligence, i.e. AI technology capable of self-improvement, independent development and perhaps also obtaining a state of artificial consciousness, or vice versa, i.e. first a general artificial intelligence and artificial consciousness capable of self-improvement and development will be created and then thanks to the aforementioned technological progress made from the field of artificial intelligence, man will fully learn the essence of his own intelligence and consciousness. In my opinion, it is most likely that both processes will develop and implement simultaneously on a reciprocal feedback basis.

I have described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion about it?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

In recent years, more and more companies and enterprises, before launching new product and service offerings as part of their market research, commission sentiment analysis of changes in public sentiment, changes in awareness of the company's brand, recognition of the company's mission and awareness of its offerings to specialized marketing research firms. This kind of sentiment analysis is carried out on computerized Big Data Analytics platforms, where a multi-criteria analytical process is carried out on a large set of data and information taken from multiple websites. In terms of source websites from which data is taken, information is dominated by news portals that publish news and journalistic articles on a specific issue, including the company, enterprise or institution commissioning this type of study. In addition to this, the key sources of online data include the pages of online forums and social media, where Internet users conduct discussions on various topics, including product and service offers of various companies, enterprises, financial or public institutions. In connection with the growing scale of e-commerce, including the sale of various types of products and services on the websites of online stores, online shopping portals, etc., as well as the growing importance of online advertising campaigns and promotional actions carried out on the Internet, the importance of the aforementioned analyses of Internet users' sentiment on specific topics is also growing, as playing a complementary role to other, more traditionally conducted market research. A key problem for this type of sentiment analysis is becoming the rapidly growing volume of data and information contained in posts, comments, posts, banners and advertising spots posted on social media, as well as the constantly emerging new social media. This problem is partly solved by the issue of increasing computing power and multi-criteria processing of large amounts of data thanks to the use of increasingly improved microprocessors and Big Data Analytics platforms. In addition, in recent times, the possibilities of advanced multi-criteria processing of large sets of data and information in increasingly shorter timeframes may significantly increase when generative artificial intelligence technology is involved in the aforementioned data processing.

The key issues of opportunities and threats to the development of artificial intelligence technology are described in my article below:

OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT

I described the applications of Big Data technologies in sentiment analysis, business analytics and risk management in my co-authored article:

APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTELLIGENCE SOFTWARE IN INTEGRATED RISK MANAGEMENT IN ORGANIZATION

The use of Big Data Analytics platforms of ICT information technologies in sentiment analysis for selected issues related to Industry 4.0

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

Generative artificial intelligence technology is currently being used to carry out various complex activities, to solve tasks intelligently, to implement multi-criteria processes, to create multi-faceted simulations and generate complex dynamic models, to creatively perform manufacturing processes that require processing large sets of data and information, etc., which until recently only humans could do. Recently, there have been attempts to create computerized, intelligent analytical platforms, through which it would be possible to forecast complex, multi-faceted, multi-criteria, dynamically changing macroprocesses, including, first of all, long-term objectively realized economic, social, political, climatic, natural and other macroprocesses. Based on the experience to date from research work on the analysis of the development of generative artificial intelligence technology and other technologies typical of the current Fourth Technological Revolution, technologies categorized as Industry 4.0/5.0, the rapidly developing various forms and fields of application of AI technologies, it is clear that the dynamic technological progress that is currently taking place will probably increase the possibilities of building complex intelligent predictive models for multi-faceted, complex macroprocesses in the years to come. The current capabilities of generative artificial intelligence technology in the field of improving forecasting models and carrying out forecasts of the formation of specific trends within complex macroprocesses are still limited and imperfect. The imperfection of forecasting models may be due to the human factor, i.e., their design by humans, the determination by humans of the key criteria and determinants that determine the functioning of certain forecasting models. In a situation where in the future forecasting models will be designed and improved, corrected, adapted to changing, for example, environmental conditions at each stage by artificial intelligence technology then they will probably be able to be much more perfect than the currently functioning and built forecasting models. Another shortcoming is the issue of data obsolescence and data limitation. There is currently no way to connect an AI-equipped analytical platform to the entire resources of the Internet, taking into account the processing of all the data and information contained in the Internet in real time. Even today's fastest quantum computers and the most advanced Big Data Analytics systems do not have such capabilities. However, it is not out of the question that in the future the dynamic development of generative artificial intelligence technology, the ongoing competition among leading technology companies developing technologies for intelligent chatbots, robots equipped with artificial intelligence, creating intelligent control systems for machines and processes, etc., will lead to the creation of general artificial intelligence, i.e. advanced, general artificial intelligence that will be capable of self-improvement. However, it is important that the said advanced general advanced artificial intelligence does not become fully autonomous, does not become completely independent, does not become out of the control of man, because there would be a risk of this highly advanced technology turning against man which would involve the creation of high levels of risks and threats to man, including the risk of losing the possibility of human existence on planet Earth.

I have described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion about it?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

Based on the my personal Gemini Ultra test results, I can say that GPT-4v is definitely better than Gemini Ultra!!!

The hype around the absolute benefits of Gemini Ultra is just a purely business PR campaign that mainly misleads users and tries to pass off wishful thinking. The multimodal capabilities of the Gemini Ultra v 1.0 are actually very limited and do not meet the requirements. At the same time, ideally, it is necessary to use these different LLMs, supplementing the gaps of one with the advantages of the other.

Please share your experience regarding this.

The combination of various analytical techniques, ICT information technologies, Industry 4.0/5.0, including Big Data Analytics, cloud computing, multi-criteria simulation models, digital twins, Business Intelligence and machine learning, deep learning up to generative artificial intelligence, and quantum computers characterized by high computing power, opens up new, broader possibilities for carrying out complex analytical processes based on processing large sets of data and information. Adding generative artificial intelligence to the aforementioned technological mix also opens up new possibilities for carrying out predictive analyses based on complex, multi-factor models made up of various interrelated indicators, which can dynamically adapt to the changing environment of various factors and conditions. The aforementioned complex models can relate to economic processes, including macroeconomic processes, specific markets, the functioning of business entities in specific markets and in the dynamically changing sectoral and macroeconomic environment of the domestic and international global economy. Identified and described trends of specific economic and financial processes developed on the basis of historical data of the previous months, quarters and years are the basis for the development of forecasts of extrapolation of these trends for the following months, quarters and years, taking into account a number of alternative situation scenarios, which can dynamically change over time depending on changing conditions and market and sectoral determinants of the environment of specific analyzed companies and enterprises. In addition to this, the forecasting models developed in this way can apply to various types of sectoral and macroeconomic analyses, economic and financial analyses of business entities, fundamental and technical analyses carried out for securities priced in the market on stock exchanges. Market valuations of securities are juxtaposed with the results of the fundamental analyses carried out in order to diagnose the scale of undervaluation or overvaluation of the market valuation of specific stocks, bonds, derivatives or other types of financial instruments traded on stock exchanges. In view of the above, opportunities are now emerging in which, based on relevant historical economic data, generative artificial intelligence can be trained so as to build a system that automatically conducts sectoral and macroeconomic analyses, economic and financial analyses of business entities, fundamental and technical analyses for securities priced on stock exchanges.

I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

The technologically leading companies currently building rockets and other spacecraft have aspirations to build a new generation of spaceplanes and bring intercontinental aviation into the era of intercontinental paracosmic flights taking place near the orbital sphere of planet Earth. On the other hand, the aforementioned leading technology companies are building rockets, satellites and space landers to be sent to Earth's moon and also those to be sent to the planet Mars as well. Manned flights to the Earth's Moon are to be resumed and manned bases are to be built on the Moon in the 2020s perspective of the current 21st century. then manned missions to the planet Mars are to be implemented in the 1930s perspective of the current century. It may also be that in the perspective of the next decades, manned bases will be built on Mars and perhaps there will be colonization of this as yet inaccessible planet for humans. Perhaps in the perspective of the second half of the present century there will already be periodic manned missions, space expeditions, tourist space travel to Mars. If this were to happen, it would not be out of the question that participating such manned missions, space expeditions, tourist space travel to Mars will be carried out using spacecraft that will be largely autonomously controlled with the help of highly technologically advanced generative artificial intelligence.

The key issues of opportunities and threats to the development of artificial intelligence technology are described in my article below:

OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

In view of the above, with the development of renewable and emission-free energy sources there are many technological and environmental constraints on certain categories of spent materials used in this type of energy. On the one hand, it is necessary for power companies to make investments in electricity transmission and storage networks. On the other hand, economical technologies for the production of low-cost energy storage and recycling, disposal of used batteries and photovoltaic panels, including the recovery of rare metals as part of the aforementioned disposal process, are still to be developed. In addition, the problem of overheating of batteries in electric vehicles and the occurrence of situations of spontaneous combustion of these devices and dangerous, difficult to extinguish fires of the said vehicles are still not fully resolved. If the solution to such problems is mainly a matter of necessary improvements in technology or the creation of new, innovative technology, then arguably generative artificial intelligence technology should come to the rescue in this regard.

I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT

Important aspects of the implementation of the green transformation of the economy, including the development of renewable and zero-carbon energy sources I included in my article below:

IMPLEMENTATION OF THE PRINCIPLES OF SUSTAINABLE ECONOMY DEVELOPMENT AS A KEY ELEMENT OF THE PRO-ECOLOGICAL TRANSFORMATION OF THE ECONOMY TOWARDS GREEN ECONOMY AND CIRCULAR ECONOMY

I invite you to discuss this important topic for the future of the planet's biosphere and climate.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

If the ChatGPT, with the passage of time and the receipt of successive questions using machine learning and/or deep learning technology, were to continuously and successively improve its answers, i.e. the texts generated as an answer to the questions asked, including the same questions asked, then the answers obtained should, with time, become more and more perfect in terms of content and the scale of errors, non-existent "facts", new but not factually correct "information" created by the ChatGPT in the automatically generated texts should gradually decrease. But has the current, next generation of ChatGPT 4.0 already applied sufficiently advanced, automatic learning to this tool to create ever more perfect texts in which the number of errors should decrease? This is a key question that will largely determine the possibilities for practical applications of this artificial intelligence technology in various fields, human professions, industries and economic sectors. On the other hand, the possibilities of the aforementioned learning process to create better and better answers to the questions asked will become increasingly limited over time if the knowledge base of 2021 used by ChatGPT is not updated and enriched with new data, information, publications, etc. over an extended period of time. In the future, it is likely that such processes of updating and expanding the source database will be carried out. The issue of carrying out such updates and extensions to the source knowledge base will be determined by the technological advances taking place and the increasing pressure on the business use of such technologies.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this subject?

Please respond,

I have described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT

Please write what you think in this issue? Do you see rather threats or opportunities associated with the development of artificial intelligence technology?

What is your opinion on this issue?

I invite you to familiarize yourself with the issues described in the article given above and to scientific cooperation on these issues.

I invite you to scientific cooperation in this problematic.

Please write what you think in this problematics?

I invite you all to discuss,

Thank you very much,

Warm regards,

Dariusz Prokopowicz

A SWOT analysis details the strengths and weaknesses of the past and present performance of an entity, institution, process, problem, issue, etc., as well as the opportunities and threats relating to the future performance of a particular issue in the next months, quarters or, most often, the next few or more years. Artificial intelligence technology has been conceptually known for more than half a century. However, its dynamic and technological development has occurred especially in recent years. Currently, many researchers and scientists are involved in many publications and debates undertaken at scientific symposiums and conferences and other events on various social, ethical, business, economic and other aspects concerning the development of artificial intelligence technology and eggs applications in various sectors of the economy, in various fields of potential applications implemented in companies, enterprises, financial and public institutions. Many of the determinants of impact and risks associated with the development of generative artificial intelligence technology currently under consideration may be heterogeneous, ambiguous, multifaceted, depending on the context of potential applications of the technology and the operation of other impact factors. For example, the issue of the impact of technology development on future labor markets is not a homogeneous and unambiguous problem. On the one hand, the more critical considerations of this impact mainly point to the potentially large scale of loss of employment for many people employed in various jobs in a situation where it turns out to be cheaper and more convenient for businesses to hire highly sophisticated robots equipped with generative artificial intelligence instead of humans for various reasons. However, on the other hand, some experts analyzing the ongoing impact of AI technology applications on labor markets give more optimistic visions of the future, pointing out that in the future of the next few years, artificial intelligence will not largely deprive people of work only this work will change, it will support employed workers in the effective implementation of work, it will significantly increase the productivity of work carried out by people using specific solutions of generative artificial intelligence technology at work and, in addition, labor markets will also change in other ways, ie. through the emergence of new types of professions and occupations realized by people, professions and occupations arising from the development of AI technology applications. In this way, the development of AI applications may generate both opportunities and threats in the future, and in the same application field, the same development area of a company or enterprise, the same economic sector, etc. Arguably, these kinds of dual scenarios of the potential development of AI technology and its applications in the future, different scenarios made up of positive and negative aspects, can be considered for many other factors of influence on the said development or for different fields of application of this technology. For example, the application of artificial intelligence in the field of new online media, including social media sites, is already generating both positive and negative aspects. Positive aspects include the use of AI technology in online marketing carried out on social media, among others. On the other hand, the negative aspects of the applications available on the Internet using AI solutions include the generation of fake news and disinformation by untrustworthy, unethical Internet users. In addition to this, the use of AI technology to control an autonomous vehicle or to develop a recipe for a new drug for particularly life-threatening human diseases. On the one hand, this technology can be of great help to humans, but what happens when certain mistakes are made that result in a life-threatening car accident or the emergence after a certain period of time of particularly dangerous side effects of the new drug. Will the payment of compensation by the insurance company solve the problem? To whom will responsibility be shifted for such possible errors and their particularly negative effects, which we cannot completely exclude at present? So what other examples can you give of ambiguous in the consequences of artificial intelligence applications? what are the opportunities and risks of past applications of generative artificial intelligence technology vs. what are the opportunities and risks of its future potential applications? These considerations can be extended if, in this kind of SWOT analysis, we take into account not only generative artificial intelligence, its past and prospective development, including its growing number of applications, but when we also take into account the so-called general, general artificial intelligence that may arise in the future. General, general artificial intelligence, if built by technology companies, will be capable of self-improvement and with its capabilities for intelligent, multi-criteria, autonomous processing of large sets of data and information will in many respects surpass the intellectual capacity of humans.

The key issues of opportunities and threats to the development of artificial intelligence technology are described in my article below:

OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

During the SARS-CoV-2 (Covid-19) coronavirus pandemic, due to quarantine periods implemented in many countries, restrictions on the use of physical retail outlets, cultural services, various public places and government-imposed lockdowns of business entities operating in selected, mainly service sectors of the economy, the use of web-based videoconferencing platforms increased significantly. In addition to this, the periodic transfer of education to a remote form conducted via online video conferencing platforms has also increased the scale of ICT use in education processes. On the other hand, since the end of 2022, in connection with the release of one of the first intelligent chatbots, i.e. ChatGPT, on the Internet by the company OpenAI, there has been an acceleration in the development of artificial intelligence applications in various fields of information Internet services and also in the implementation of generative artificial intelligence technology to various aspects of business activities conducted in companies and enterprises. The tools made available on the Internet by technology companies operating in the formula of intelligent language models have been taught to converse with Internet users, with people through the use of technologies modeled on the structure of the human neuron of artificial neural networks, deep learning using knowledge bases, databases that have accumulated large amounts of data and information downloaded from many websites. Nowadays, there are opportunities to combine the above-mentioned technologies so that new applications and/or functionalities of web-based video conferencing platforms can be obtained, which are enriched with tools based on generative artificial intelligence.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

An important issue concerning the prospects for the development of artificial intelligence technology and its applications is also the question of obtaining by the built intelligent systems taught to perform highly complex tasks based on generative artificial intelligence a certain range of independence and self-improvement, repairing certain randomly occurring faults, errors, system failures, etc. For many years, there have been deliberations and discussions on the issue of obtaining a greater range of autonomy in making certain decisions on self-improvement, repair of system faults, errors caused by random external events by systems built on the basis of generative artificial intelligence technology. On the one hand, if there are built and developed, for example, security systems built on the basis of generative artificial intelligence technology in public institutions or commercially operating business entities providing a certain category of security for people, it is an important issue to give these intelligent systems a certain degree of autonomy in decision-making if in a situation of a serious crisis, natural disaster, geological disaster, earthquake, flood, fire, etc. a human being could make a decision too late relative to the much greater speed of response that an automated, intelligent, specific security, emergency response, early warning system for specific new risks, risk management system, crisis management system, etc. can have. However, on the other hand, whether a greater degree of self-determination is given to an automated, intelligent information system, including a specified security system then the scale of the probability of a failure occurring that will cause changes in the operation of the system with the result that the specified automated, intelligent and generative artificial intelligence-based system may be completely out of human control. In order for an automated system to quickly return to correct operation on its own after the occurrence of a negative, crisis external factor causing a system failure, then some scope of autonomy and self-decision-making for the automated, intelligent system should be given. However, to determine what this scope of autonomy should be is to first carry out a multifaceted analysis and diagnosis on the impact factors that can act as risk factors and cause malfunction, failure of the operation of an intelligent information system. Besides, if, in the future, generative artificial intelligence technology is enriched with super-perfect general artificial intelligence technology, then the scope of autonomy given to an intelligent information system that has been built with the purpose of automating the operation of a risk management system, providing a high level of safety for people may be high. However, if at such a stage in the development of super-perfect general artificial intelligence technology, however, an incident of system failure due to certain external or perhaps also internal factors were to occur, then the negative consequences of such a system slipping out of human control could be very large and currently difficult to assess. In this way, the paradox of building and developing systems developed within the framework of super-perfect general artificial intelligence technology may be realized. This paradox is that the more perfect, automated, intelligent system will be built by a human, an information system far beyond the capacity of the human mind, the capacity of a human to process and analyze large sets of data and information is, on the one hand, because such a system will be highly perfect it will be given a high level of autonomy to make decisions on crisis management, to make decisions on self-repair of system failure, to make decisions much faster than the capacity of a human in this regard, and so on. However, on the other hand, when, despite the low level of probability of an abnormal event, the occurrence of an external factor of a new type, the materialization of a new category of risk, which will nevertheless cause the effective failure of a highly intelligent system then this may lead to such a system being completely out of human control. The consequences, including, first of all, the negative consequences for humans of such a slipping of an already highly autonomous intelligent information system based on super general artificial intelligence, would be difficult to estimate in advance.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

The key issues of opportunities and threats to the development of artificial intelligence technologies are described in my article below:

And what is your opinion on this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Thank you,

Best wishes,

Dariusz Prokopowicz

Recently, accelerated technological progress is being made, including the development of generative artificial intelligence technology. The aforementioned technological progress made in the improvement and implementation of ICT information technologies, including the development of applications of tools based on generative artificial intelligence is becoming a symptom of the transition of civilization to the next technological revolution, i.e. the transition from the phase of development of technologies typical of Industry 4.0 to Industry 5.0. Generative artificial intelligence technologies are finding more and more new applications by combining them with previously developed technologies, i.e. Big Data Analytics, Data Science, Cloud Computing, Personal and Industrial Internet of Things, Business Intelligence, Autonomous Robots, Horizontal and Vertical Data System Integration, Multi-Criteria Simulation Models, Digital Twins, Additive Manufacturing, Blockchain, Smart Technologies, Cyber Security Instruments, Virtual and Augmented Reality and other Advanced Data Mining technologies. In addition to this, the rapid development of generative AI-based tools available on the Internet is due to the fact that more and more companies, enterprises and institutions are creating their chatbots, which have been taught specific skills previously performed only by humans. In the process of deep learning, which uses artificial neural network technologies modeled on human neurons, the created chatbots or other tools based on generative AI are increasingly taking over from humans to perform specific tasks or improve their performance. The main factor in the growing scale of applications of various tools based on generative AI in various spheres of business activities of companies and enterprises is due to the great opportunities to automate complex, multi-criteria, organizationally advanced processes and reduce the operating costs of carrying them out with the use of AI technologies. On the other hand, certain risks may be associated with the application of AI generative technology in business entities, financial and public institutions. Among the potential risks are the replacement of people in various jobs by autonomous robots equipped with generative AI technology, the increase in the scale of cybercrime carried out with the use of AI, the increase in the scale of disinformation and generation of fake news on online social media through the generation of crafted photos, texts, videos, graphics presenting fictional content, non-existent events, based on statements and theses that are not supported by facts and created with the use of tools available on the Internet, applications equipped with generative AI technologies.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

I am conducting research in this area. Particularly relevant issues of opportunities and threats to the development of artificial intelligence technologies are described in my article below:

And what is your opinion about it?

What do you think about this topic?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

In recent weeks, the media covering the issue of the prospects for the development of artificial intelligence technology have made disturbing news. Rival leading technology companies developing ICT, Internet and Industry 4.0/5.0 information technologies have entered the next phase of generative artificial intelligence and general artificial intelligence development. Generative artificial intelligence technologies already present mainly through the ChatGPT intelligent chatbot, which was made available on the Internet at the end of 2022, and new further variants of it are already being made openly available to Internet users. Citizen interest in Internet-accessible intelligent chatbots and other tools based on generative artificial intelligence technology is very high. When OpenAI made the first publicly available versions of ChatGPT available to Internet users in November 2022, the number of users of the platform with this offering grew faster than the previously reported increases in the number of users on social media sites in the corresponding first months of their online availability. Dominant in the markets of online information services, the most recognizable brands of technology companies compete in the development of artificial intelligence technology no longer only in the development of generative artificial intelligence, which, through deep learning and the use of artificial neural networks, is taught specific abilities to intelligently perform jobs, tasks, write texts, participate in discussions, generate photos, videos, draw graphics and carry out other outsourced tasks that were previously performed only by humans. Currently dominating the markets for online information services, major technology companies are also competing to build increasingly sophisticated AI solutions referred to as general artificial intelligence. From the analysis of futurological projections of the possibilities of development of constantly improved artificial intelligence, there is a risk that at some point this development will enter another developmental phase, which will consist in the fact that advanced general artificial intelligence systems will already create even more advanced general artificial intelligence systems on their own, which with their computing power and advanced processing of large data sets, processing of data on platforms using accumulated huge data sets and Big Data Analytics information will far surpass the analytical capabilities of the human brain, human intelligence and the holistic computing power of all neurons of the human nervous system. This kind of development phase, in which advanced general artificial intelligence systems will already create even more advanced general artificial intelligence systems on their own, could lead to a situation where this development is out of human control. In such a situation, the risks associated with the uncontrolled development of advanced general artificial intelligence systems could increase strongly. The levels of risk could be so high that it could be compared to the situation of various very serious threats and even armegeddon of human civilization depicted in catastrophic futurological projections of the development of artificial intelligence out of human control depicted in many science fiction films. The catastrophic and/or bordering on horror movie images depicted in science fiction films suggest the potential future risks of a kind of arms race already taking place between the globally largest technology companies developing generative artificial intelligence and general artificial intelligence technologies. If this kind of development of generative artificial intelligence and general artificial intelligence technologies has entered this phase and there is no longer any possibility of stopping this development, then perhaps this development can already be called an open Pandora's box of artificial intelligence development.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

Artificial intelligence technology has been rapidly developing and finding new applications in recent years. The main determinants, including potential opportunities and threats to the development of artificial intelligence technology are described in my article below:

And what is your opinion on this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

Since OpenAI brought ChatGPT online in November 2022, interest in the possibilities of using intelligent chatbots for various aspects of business operations has strongly increased among business entities. Intelligent chatbots originally only or mainly enabled conversations, discussions, answered questions using specific data resources, information and knowledge taken from a selection of multiple websites. Then, in the following months, OpenAI released other intelligent applications on the Internet, allowing Internet users to generate images, photos, graphics, videos, solve complex mathematical tasks, create software for new computer applications, generate analytical reports, process various types of documents based on the given commands and formulated commands. In addition to this, in 2023, other technology companies also began to make their intelligent applications available on the Internet, through which certain complex tasks can be carried out to facilitate certain processes, aspects of companies, enterprises, financial institutions, etc., and thus facilitate business. There is a steady increase in the number of intelligent applications and tools available on the Internet that can support the implementation of various aspects of business activities carried out in companies and enterprises. On the other hand, the number of new business applications of said smart applications is growing rapidly.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this topic?

What do you think about this topic?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

The rivalry between IT giants, leading technology companies in perfecting generative artificial intelligence technology may have already entered a path of no return. On the other hand, there are increasing comments in the media about where this rivalry may lead, and whether this rivalry has already entered a path of no return. Even these aforementioned IT giants made attempts in the spring of 2023 to slow down this not-quite-tame development, but unfortunately failed. As a result, regulators are now expected to step in with the goal of sanctioning this development with regulations concerning, for example, the issue of including copyright in creative processes during which artificial intelligence takes on the role of creator. In the growing number of considerations regarding the use of artificial intelligence technology in various applications, in more and more spheres of human functioning, professional work and so on. there are questions about the dangers of this and attempts to powder the subject by suggesting that, after all, the development of AI technology and its applications cannot escape human control, that AI is unlikely to replace humans only assist in many jobs, that the vision of disaster known from the "Terminator" saga of science fiction films will not materialize, that human-like intelligent androids will never become fully autonomous, and so on. Or perhaps in this way, man is subconsciously trying to escape from other kinds of considerations, in which, for example, it could soon turn out that the technological advances taking place under Industry 5.0 driven by the entry of leading technology companies into a path of competition, which first will create a highly advanced super general artificial intelligence, which could turn out to be smarter than man, will be able to self-improve without man and develop in a direction that man will not even be able to imagine let alone predict beforehand. Perhaps the greatest fear of the consequences of the unbridled development of AI applications stems from the fact that the result of this development could be something that will intellectually surpass humans. Sometimes this kind of situation has already been referred to as an attempt to create one's own God (not an idol, just God). In these considerations, we repeatedly come to the conclusion that what is most fascinating can also generate the greatest dangers.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion about it?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

The banking sector is among those sectors where the implementation of new ICT, Internet and Industry 4.0/5.0 information technologies, including but not limited to the applications of generative artificial intelligence technology in finance and banking. Commercial online and mobile banking have been among the particularly fast-growing areas of banking in recent years. In addition, the SARS-CoV-2 (Covid-19) coronavirus pandemic, in conjunction with government-imposed lockdowns imposed on selected sectors of the economy, mainly service companies, and national quarantines, the development of online and mobile banking accelerated. Solutions such as contactless payments made with a smartphone developed rapidly. On the other hand, due to the acceleration of the development of online and mobile banking, the increase in the scale of payments made online, the conduct of online settlements related to the development of e-commerce, the scale of cybercriminal activity has increased since the pandemic. When the company OpenAI put its first intelligent chatbot, i.e. ChatGPT, online for Internet users in November 2022 and other Internet-based technology companies accelerated the development of analogous solutions, commercial banks saw great potential for themselves. More chatbots modeled on ChatGPT and new applications of tools based on generative artificial intelligence technology made available on the Internet quickly began to emerge. Commercial banks thus began to adapt the emerging new AI solutions to their needs on their own. The IT professionals employed by the banks thus proceeded with the processes of teaching intelligent chatbots, implementing tools based on generative AI to selected processes and activities performed permanently and repeatedly in the bank. Accordingly, AI technologies are increasingly being implemented by banks into cyber-security systems, processes for analyzing the creditworthiness of potential borrowers, improving marketing communications with bank customers, perfecting processes for automating remote telephone and Internet communications of banks' call center departments, developing market analyses carried out on Big Data Analytics platforms using large sets of data and information extracted from various bank information systems and from databases available on the Internet, online financial portals and thousands of processed posts and comments of Internet users contained in online social media pages, increasingly automated and generated in real time ba based on current large sets of information and data development of industry analysis and analysis and extrapolation into the future of market trends, etc. The scale of new applications of generative artificial intelligence technology in various areas of banking processes carried out in commercial banks is growing rapidly.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

In the context of the integration of business entities into the currently developing processes of green transformation of the economy, adding the issue of achieving sustainable development goals to the company's mission, implementing green technologies and eco-innovations that contribute to a decrease in the level of emissions in terms of greenhouse gas emissions, exhaust emissions and other pollutants negatively affecting the state of the environment, implementing green investments that reduce the level of energy intensity of buildings and economic processes, etc., the scale of opportunities for improving sustainable business models is also growing. The aforementioned sustainable business models are an important part of green business transformation, conducted in a company or enterprise. On the other hand, the scale of opportunities for improving sustainable business models applied to business entities can be significantly increased by implementing new ICT and Industry 4.0/5.0 information technologies into business, including but not limited to generative artificial intelligence technologies. Recently, the level and generic number of applications of generative artificial intelligence in various business fields of companies and enterprises has been growing rapidly. On the Internet, intelligent applications equipped with generative artificial intelligence technology are appearing in the open, which can be applied to the execution of complex and resource-intensive data and information processing, i.e. such activities that until recently were performed only by humans. In addition, intelligent chatbots and other intelligent applications that enable automation of the execution of complex, multi-faceted, multi-criteria tasks perform the aforementioned tasks in many times less time and with much higher efficiency compared to if the same tasks were to be performed by a human. The ability of tools equipped with generative artificial intelligence to intelligently execute the ordered command is generated by teaching it in the process of deep learning and applying advanced information systems based on artificial neural networks.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

Recently, the technology of generative artificial intelligence, which is taught certain activities, skills previously performed only by humans, has been developing rapidly. In the process of learning, artificial neural network technologies built on the likeness of human neurons are used, as well as deep learning technology. In this way, intelligent chatbots are created, which can converse with people in such a way that it can be increasingly difficult to diagnose, to distinguish whether we are talking to a human or an intelligent chatbot, a tool. Chatbots are taught to converse with the involvement of digital big data and information, and the process of conversation, including answering questions and executing specific commands is perfected through guided conversations. Besides, tools available on the Internet based on generative artificial intelligence are also able to create graphics, photos and videos according to given commands. Intelligent systems are also being created that specialize in solving specific tasks and are becoming more and more helpful to humans in solving increasingly complex problems. The number of new applications for specially created tools equipped with generative artificial intelligence is growing rapidly. However, on the other hand, there are not only positive aspects associated with the development of artificial intelligence. There are more and more examples of negative applications of artificial intelligence, through which, for example, fake news is created in social media, disinformation is generated on the Internet. There are emerging possibilities for the use of artificial intelligence in cybercrime and in deliberately shaping the general social awareness of Internet users on specific topics. In addition, for several decades there have been films in the genre of science fiction, in which futuristic visions of the future were presented, in which intelligent robots, equipped with artificial intelligence autonomous cyborgs (e.g. Terminator) or artificial intelligence systems managing the flight of a ship of an interplanetary manned mission (e.g. 2001 Space Odyssey), artificial intelligence systems and intelligent robots transformed humanity from a source of electricity to their needs (e.g. Matrix trilogy) and thus instead of helping people, they rebelled against humanity. This topic has become topical again. There are attempts to create autonomous human cyborgs equipped with artificial intelligence systems, robots able to converse with humans and carry out certain commands. Research work is being undertaken to create something that will imitate human consciousness, or what is referred to as artificial consciousness, as part of the improvement of generative artificial intelligence systems. There are many indications that humans are striving to create a thinking generative artificial intelligence. It cannot be ruled out that such a machine could independently make decisions contrary to human expectations which could lead to the annihilation of mankind. In view of the above, in the conditions of dynamic development of generative artificial intelligence technology, considerations about the potential dangers to humanity that may arise in the future from the development of generative artificial intelligence technology have once again returned to relevance.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

There are different types of websites and sources of data and information on the Internet. The first Internet-accessible intelligent chatbot, i.e. ChatGPT, made available by OpenAI in November 2022, performs certain commands, solves tasks, and writes texts based on knowledge resources, data and information downloaded from the Internet, which were not fully up-to-date, as they were downloaded from selected websites and portals last in January 2022. In addition, the data and information were downloaded from many selected websites of libraries, articles, books, online indexing portals of scientific publications, etc. Thus, these were data and information selected in a certain way. In 2023, more Internet-based leading technology companies were developing and making their intelligent chatbots available on the Internet. Some of them are already based on data and information that is much more up-to-date compared to the first versions of ChatGPT made available on the Internet in open access. In November 2023, social media site X (the former Twiter) released its intelligent chatbot in the US, which reportedly works on the basis of up-to-date information entered into the site through posts, messages, tweets made by Internet users. Also in October 2023, OpenAI announced that it will create a new version of its ChatGPT, which will also draw data and knowledge from updated knowledge resources downloaded from multiple websites. As a result, rival Internet-based leading forms of technology are constantly refining the evolving designs of the intelligent chatbots they are building, which will increasingly use more and more updated data, information and knowledge resources drawn from selected websites, web pages and portals. The rapid technological advances currently taking place regarding artificial intelligence technology may in the future lead to the integration of generative artificial intelligence and general artificial intelligence developed by technology companies. Competing technology companies may strive to build advanced artificial intelligence systems that can achieve a high level of autonomy and independence from humans, which may lead to a situation of the possibility of artificial intelligence technology development slipping out of human control. Such a situation may arise when the emergence of a highly technologically advanced general artificial intelligence that achieves the possibility of self-improvement and, in addition, realizing the process of self-improvement in a manner independent of humans, i.e. self-improvement with simultaneous escape from human control. However, before this happens it is earlier that technologically advanced artificial intelligence can achieve the ability to select data and information, which it will use in the implementation of specific mandated tasks and their real-time execution using up-to-date data and online knowledge resources.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion about it?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

In recent discussions on the ongoing rapid development of artificial intelligence technologies, including generative artificial intelligence and general artificial intelligence, and their rapidly growing applications, a number of both positive determinants of this development are emerging but also a number of potential risks and threats are being identified. Recently, the key risks associated with the development of artificial intelligence technologies include not only the possibility of using AI technologies by cyber criminals and in hacking activities; the use of open-access tools based on generative artificial intelligence on the Internet to create crafted texts, photos, graphics and videos and their posting on social media sites to create fake news and generate disinformation; the use of "creations" created with applications based on intelligent chatbots in the field of marketing communications; the potential threat to many jobs being replaced by AI technology but also in the development of increasingly superior generative artificial intelligence technology, which may soon be creating new, even more superior AI technologies that could escape human control. Currently, all leading technology and Internet companies are developing their intelligent chatbots and AI-based tools, including generative AI and/or general AI, which they are already making available on the Internet or will soon do so. In this way, a kind of technological arms race is currently being realized between major technology companies at the forefront of ICT, Internet and Industry 4.0/5.0 information technologies. The technological progress that is currently taking place is accelerating as part of the transition from Industry 4.0 to Industry 5.0 technologies. In the context of the emerging threats mentioned above, many companies, enterprises, banks are already implementing and developing certain tools, applications based on AI in order to increase the efficiency of certain processes carried out within the framework of their business, logistics, financial activities, etc. In addition, in the ongoing discussions on the possibility of applying AI technologies in aspects interpreted positively, in solving various problems of the current development of civilization, including to support ongoing scientific research, to support the development of science in various disciplines of science. Accordingly, an important area of positive applications of AI technology is the use of this technology to improve the efficiency of reliably and ethically conducted scientific research. Thus, the development of science could be supported by the implementation of AI technology into the realm of science.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

The ongoing technological advances in ICT and Industry 4.0/5.0, including Big Data Analytics, Data Science, cloud computing, generative artificial intelligence, Internet of Things, multi-criteria simulation models, digital twins, Blockchain, etc., make it possible to carry out advanced data processing on increasingly large volumes of data and information. The aforementioned technologies contribute to the improvement of analytical processes concerning the operation of business entities, including, among others, in the field of Business Intelligence, economic analysis as well as in the field of predictive analytics in the context of forecasting processes, trends, economic phenomena. In connection with the dynamic development of generative artificial intelligence technology over the past few quarters and the simultaneous successive increase in the computing power of constantly improved microprocessors, the possibilities of improving predictive analytics in the context of forecasting economic processes may also grow.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

Generative artificial intelligence finds application in various spheres of commercial banking, including banking offered to customers remotely through online and mobile banking. In addition to improving remote channels of marketing communication and remote access of customers to their bank accounts, tools based on generative AI are being developed, used to increase the scale of efficiency, automation, intelligent processing of large sets of data and information on various processes carried out inside the bank. Increasingly, generative AI technologies learned in deep learning processes and the application of artificial neural network technologies to perform complex, multi-faceted, multi-criteria data processing on Big Data Analytics platforms, including data and information from the bank's environment, online databases, online information portals and internal information systems operating within the bank. Increasingly, generative AI technologies are being used to automate analytical processes carried out as part of the lending business, including, first and foremost, the automation of creditworthiness analysis processes, processes carried out on computerized Big Data Analytics and/or Business Intelligence platforms, in which multicriteria, intelligent processing is carried out on increasingly large sets of data and information on potential borrowers and their market, competitive, industry, business and macroeconomic environment, etc. However, still the banking system supervisory institutions do not allow changes in banking procedures in which generative artificial intelligence in the credit departments of commercial banks will not only carry out the entire process of analyzing the creditworthiness of a potential borrower but will also make a decision on whether to grant a loan. Banking supervisory institutions still do not allow this kind of solution or precisely it is not defined in the legal norms defining the functioning of commercial banking. This raises the question of whether the technological advances taking place and the growing scale of applications of generative artificial intelligence technology in banking will not force changes in this area of banking as well. Perhaps, the growing scale of implementation of generative AI into various spheres of banking will contribute to the continuation of the processes of automation of lending activities which may result in the future in generative artificial intelligence making a decision on whether or not to extend credit.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion about it?

What do you think about this topic?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

For details on the current OpenAI leadership situation see e.g.

https://www.theguardian.com/technology/2023/nov/19/openai-investors-push-for-return-of-ousted-ceo-sam-altman-chatgpt

In large corporations characterized by a complex, multi-level organizational structure, the flow of information can be difficult. New ICT and Industry 4.0 information technologies are proving to be helpful in this regard, improving the efficiency of the flow of information flowing between departments and divisions in the corporation. One of the Industry 4.0 technologies that has recently found various new applications is artificial intelligence. Artificial intelligence technology is finding many new applications in recent years. The implementation of artificial intelligence, machine learning and other Industry 4.0 technologies into various business fields of companies, enterprises and financial institutions is associated with the increase in digitization and automation of processes carried out in business entities. For several decades, in order to refine and improve the flow of information in a corporation characterized by a complex organizational structure, integrated information systems are being implemented that informationally connect applications and programs operating within specific departments, divisions, plants, etc. in a large enterprise, company, corporation. Nowadays, a technology that can help optimize remote communication and information flow in a corporation is artificial intelligence. Artificial intelligence can help optimize information flow and data transfer within a corporation's intranet.

Besides, the technologies of Industry 4.0, including artificial intelligence, can help improve the cyber security techniques of data transfer, including that carried out in email communications.

In view of the above, I address the following question to the esteemed community of researchers and scientists:

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

The scale of the development of disinformation on the Internet including, among other things, fakenews has been growing in recent years mainly in social media. Disinformation is mainly developing on social media sites that are popular among young people, children and teenagers. The growing scale of disinformation is particularly socially damaging in view of the key objective of its pursuit by cybercriminals and certain organisations using, for example, the technique of publishing posts and banners using fake profiles of fictitious Internet users containing fakenews. The aim is to try to influence public opinion in society, to shape the general social awareness of citizens, to influence the assessment of the activities of specific policies of the government, national and/or international organisations, public or other institutions, to influence the ratings, credibility, reputation, recognition of specific institutions, companies, enterprises, their product and service offerings, individuals, etc., to influence the results of parliamentary, presidential and other elections, etc. In addition to this, the scale of cybercriminal activity and the improvement of cyber security techniques have also been growing in parallel on the Internet in recent years. Therefore, as part of improving techniques to reduce the scale of disinformation spread deliberately by specific national and/or international organisations, computerised platforms are being built to detect fake news and other forms of disinformation on the internet built using Big Data Analytics, artificial intelligence and other Industry 4.0 technologies. Since cybercriminals and organisations generating disinformation use new Industry 4.0 technologies in the creation of fake profiles on popular social networks, new information technologies, Industry 4.0, including but not limited to Big Data Analytics, artificial intelligence, deep learning, machine learning, etc., should also be used to reduce the scale of such harmful activities to citizens.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what do you think about it?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

Almost from the very beginning of the development of ICT, the rivalry between IT professionals operating on two sides of the barricade, i.e. in the sphere of cybercrime and cyber security, has been realized. In a situation where, within the framework of the technological progress that is taking place, on the one hand, a new technology emerges that facilitates the development of remote communication, digital transfer and processing of data then, on the other hand, the new technology is also used within the framework of hacking and/or cybercrime activities. Similarly, when the Internet appeared then on the one hand a new sphere of remote communication and digital data transfer was created. On the other hand, new techniques of hacking and cybercriminal activities were created, for which the Internet became a kind of perfect environment for development. Now, perhaps, the next stage of technological progress is taking place, consisting of the transition of the fourth into the fifth technological revolution and the development of 5.0 technology supported by the implementation of artificial neural networks based on artificial neural networks subjected to a process of deep learning constantly improved generative artificial intelligence technology. The development of generative artificial intelligence technology and its applications will significantly increase the efficiency of business processes, increase labor productivity in the manufacturing processes of companies and enterprises operating in many different sectors of the economy. Accordingly, after the implementation of generative artificial intelligence and also Big Data Analytics and other technologies typical of the current fourth technological revolution, the competition between IT professionals operating on two sides of the barricade, i.e., in the sphere of cybercrime and cybersecurity, will probably change. However, what will be the essence of these changes?

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

Nowadays, Internet marketing is developing rapidly, including viral Internet marketing used on social media sites, among others, in the form of, for example, Real-Time marketing in the formula of viral marketing. It is also marketing aimed at precisely defined groups, audience segments, potential customers of a specific advertised product and/or service offering. In terms of improving Internet marketing, new ICT information technologies and Industry 4.0/5.0 are being implemented. Marketing conducted in this form is usually preceded by market research conducted using, among other things, sentiment analysis of the preferences of potential consumers based on verification of their activity on the Internet, taking into account comments written on various websites, Internet forums, blogs, posts written on social media. In recent years, the importance of the aforementioned sentiment analysis carried out on large data sets using Big Data Analytics has been growing, thanks to which it is possible to study the psychological aspects of the phenomena of changes in the trends of certain processes in the markets for products, services, factor markets and financial markets. The development of the aforementioned analytics makes it possible to study the determinants of specific phenomena occurring in the markets caused by changes in consumer or investor preferences, caused by specific changes in the behavior of consumers in product and service markets, entrepreneurs in factor markets or investors in money and capital markets, including securities markets. The results from these analyses are used to forecast changes in the behavior of consumers, entrepreneurs and investors that will occur in the following months and quarters. In addition to this, sentiment analyses are also conducted to determine the preferences, awareness of potential customers, consumers in terms of recognition of the company's brand, its offerings, description of certain products and services, etc., using textual data derived from comments, entries, posts, etc. posted by Internet users, including social media users on a wide variety of websites. The knowledge gained in this way can be useful for companies to plan marketing strategies, to change the product and service offerings produced, to select or change specific distribution channels, after-sales services, etc. This is now a rapidly developing field of research and the possibilities for many companies and enterprises to use the results of this research in marketing activities, but not only in marketing. Recently, opportunities are emerging to apply generative artificial intelligence and other Industry 4.0/5.0 technologies to analyze large data sets collected on Big Data Analytics platforms. In connection with the development of intelligent chatbots available on the Internet, recently there have been discussions about the possibilities of potential applications of generative artificial intelligence, 5G and other technologies included in the Industry 4.0/5.0 group in the context of using the information resources of the Internet to collect data on citizens, companies, institutions, etc. for their analysis carried out using, among other things, sentiment analysis to determine the opinion of Internet users on certain topics or to define the brand recognition of a company, the evaluation of product or service offerings by Internet users. In recent years, the scope of applications of Big Data technology and Data Science analytics, Data Analytics in economics, finance and management of organizations, including enterprises, financial and public institutions is increasing. Accordingly, the implementation of analytical instruments of advanced processing of large data sets in enterprises, financial and public institutions, i.e. the construction of Big Data Analytics platforms to support organizational management processes in various aspects of operations, including the improvement of customer relations, is also growing in importance. In recent years, ICT information technologies, Industry 4.0/5.0 including generative artificial intelligence technologies are particularly rapidly developing and finding application in knowledge-based economies. These technologies are used in scientific research and business applications in commercially operating enterprises and in financial and public institutions. In recent years, the application of generative artificial intelligence technologies for collecting and multi-criteria analysis of Internet data can significantly contribute to the improvement of sentiment analysis of Internet users' opinions and the possibility of expanding the applications of research techniques carried out on analytical platforms of Business Intelligence, Big Data Analytics, Data Science and other research techniques using ICT information technology, Internet and advanced data processing typical Industry 4. 0/5.0. Most consumers of online information services available on new online media, including social media portals, are not fully aware of the level of risk of sharing information about themselves on these portals and the use of this data by technological online companies using this data for their analytics. I am conducting research on this issue. I have included the conclusions of my research in scientific publications, which are available on Research Gate. I invite you to cooperate with me.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

Almost every major technological company operating with its offerings on the Internet either already has and has made its intelligent chatbot available on the Internet, or is working on it and will soon have its intelligent chatbot available to Internet users. The general formula for the construction, organization and provision of intelligent chatbots by individual technology companies uses analogous solutions. However, in detailed technological aspects there are specific different solutions. The differentiated solutions include the issue of the timeliness of data and information contained in the created databases of digitized data, data warehouses, Big Data databases, etc., which contain specific data sets acquired from the Internet from various online knowledge bases, publication indexing databases, online libraries of publications, information portals, social media, etc., acquired at different times, data sets having different information characteristics, etc.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

Solutions to this question may vary. However, the key issue is the moral dilemmas in the applications of the constantly developing and improving artificial intelligence technology and the preservation of ethics in the process of developing applications of these technologies. In addition to this, the key issues within the framework of this issue also include the need to more fully explore and clarify what human consciousness is, how it is formed, how it functions within specific plexuses of neurons in the human central nervous system.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this topic?

What do you think about this topic?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

The above text is entirely my own work written by me on the basis of my research.

In writing this text I did not use other sources or automatic text generation systems.

Copyright by Dariusz Prokopowicz

What are the analytical capabilities of processing large data sets extracted from the Internet and realized by the most powerful quantum computers, which also apply Industry 4.0/5.0 technologies, including generative artificial intelligence and Big Data Analytics technologies?

Can the scale of data processing carried out by the most powerful quantum computers be comparable to the processing that takes place in the billions of neurons of the human brain?

In recent years, the digitization of data and archived documents, the digitization of data transfer processes, etc., has been progressing rapidly.

The progressive digitization of data and archived documents, digitization of data transfer processes, Internetization of communications, economic processes but also of research and analytical processes is becoming a typical feature of today's developing developed economies. Accordingly, developed economies in which information and computer technologies are developing rapidly and finding numerous applications in various economic sectors are called information economies. The societies operating in these economies are referred to as information societies. Increasingly, in discussions of this issue, there is a statement that another technological revolution is currently taking place, described as the fourth and in some aspects it is already the fifth technological revolution. Particularly rapidly developing and finding more and more applications are technologies classified as Industry 4.0/5.0. These technologies, which support research and analytical processes carried out in various institutions and business entities, include Big Data Analytics and artificial intelligence, including generative artificial intelligence with artificial neural network technology also applied and subjected to deep learning processes. As a result, the computational capabilities of microprocessors, which are becoming more and more perfect and processing data faster and faster, are gradually increasing. There is a rapid increase in the processing of ever larger sets of data and information. The number of companies, enterprises, public, financial and scientific institutions that create large data sets, massive databases of data and information generated in the course of a specific entity's activities and obtained from the Internet and processed in the course of conducting specific research and analytical processes is growing. In view of the above, the opportunities for the application of Big Data Analytics backed by artificial intelligence technology in terms of improving research techniques, in terms of increasing the efficiency of the research and analytical processes used so far, in terms of improving the scientific research conducted, are also growing rapidly. By using the combined technologies of Big Data Analytics, other technologies of Industry 4.0/5.0, including artificial intelligence and quantum computers in the processing of large data sets, the analytical capabilities of data processing and thus also conducting analysis and scientific research can be significantly increased.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Thank you,

Warm regards,

Dariusz Prokopowicz

The above text is entirely my own work written by me on the basis of my research.

In writing this text I did not use other sources or automatic text generation systems.

Copyright by Dariusz Prokopowicz

The development of artificial intelligence, like any new technology, is associated with various applications of this technology in companies, enterprises operating in various sectors of the economy, and financial and public institutions. These applications generate an increase in the efficiency of the implementation of various processes, including an increase in human productivity. On the other hand, artificial intelligence technologies are also finding negative applications that generate certain risks such as the rise of disinformation in online social media. The increasing number of applications based on artificial intelligence technology available on the Internet are also being used as technical teaching aids in the education process implemented in schools and universities. On the other hand, these applications are also used by pupils and students, who use these tools as a means of facilitating homework, the development of credit papers, the completion of project work, various studies, and so on. Thus, on the one hand, the positive aspects of the applications of artificial intelligence technologies in education are recognized as well. However, on the other hand, serious risks are also recognized for students, for people who, increasingly using various applications based on artificial intelligence, including generative artificial intelligence in facilitating the completion of certain various works, may cause a reduction in the scope of students' use of critical thinking. The potential dangers of depriving students of development and critical thinking are considered. The development of artificial intelligence technology is currently progressing rapidly. Various applications based on constantly improved generative artificial intelligence subjected to learning processes are being developed, machine learning solutions are being created, artificial intelligence is being subjected to processes of teaching the implementation of various activities that have been previously performed by humans. In deep learning processes, generative artificial intelligence equipped with artificial neural networks is taught to carry out complex, multifaceted processes and activities on the basis of large data sets collected in database systems and processed using Big Data Analytics technology. Since the processing of large data sets is carried out by current information systems equipped with computers of high computing power and with artificial intelligence technologies many times faster and more efficiently than the human mind, so already some research centers conducting research in this field are working on an attempt to create a highly advanced generative artificial intelligence, which will realize a kind of artificial thought processes, however, much faster and more efficiently than it happens in the human brain. However, even if someday artificial consciousness technology could be created that would imitate the functioning of human consciousness, humans should not be deprived of critical thinking. Above all, students in schools should not be deprived of artificial thinking in view of the growing scale of applications based on artificial intelligence in education. The aim should be that the artificial intelligence-based applications available on the Internet used in the education process should support the education process without depriving students of critical thinking. However, the question arises, how should this be done?

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Warm regards,

Dariusz Prokopowicz

I'm curious to know what you think about this? This kind of solution based on an intelligent publication search system and an intelligent content analysis system of retrieved publications on an online scientific portal could be of great help to researchers and scientists. In my opinion, the creation of a new generation of something similar to ChatGPT, which will use databases built solely on the basis of online scientific knowledge bases, online scientific portals and online scientific publication indexing databases makes sense if basic issues of copyright respect are met and such tools use continuously updated and objectively and scientifically verified knowledge, data and information resources. With such a solution, researchers and scientists conducting research on a specific topic would have the opportunity to review the literature within the millions of scientific publications collected on specific online scientific portals and scientific publication indexing databases. Besides, what is particularly important, the mentioned partially automated literature review would probably be realized in a relatively short time. Thus, an intelligent system for searching and analyzing the content of scientific publications would, in a short period of time, from among the millions of texts archived in specific scientific publication indexing databases, select those publications in which other researchers and scientists have described analogous, similar, related, correlated, related, etc. issues, results of scientific research conducted, selected publications within the same scientific discipline, the same topic or in the interdisciplinary field. Besides, an intelligent system for searching and analyzing the content of scientific publications could also categorize the retrieved publications into those in which other researchers and scientists confirmed analogous conclusions of conducted similar research, polemicized with the results of other researchers' research on a specific topic, obtained other results from conducted research, suggested other practical applications of obtained research results realized on the same or similar topic, etc. However, for ethical reasons and properly conducted research, i.e., respecting the research results of other researchers and scientists, it would be unacceptable for this kind of intelligent system for searching and analyzing the content of many publications available on specific databases for indexing scientific publications to enable plagiarism, i.e., to provide research results, provide retrieved content on specific issues and topics, etc., without accurately providing the source of the data, description of the source data, names of the authors of the publications, etc., and some unreliable researchers would take advantage of this opportunity. This kind of intelligent system for searching and analyzing the content of scientific publications should give for all searched publications full bibliographic descriptions, source descriptions, footnotes containing all the data that are necessary to develop full source footnotes for possible citation of specific studies, research results, theses, data, etc. contained in other publications written by other researchers and scientists. So, building this kind of intelligent tool would make sense if ChatGPT-type tools were properly improved and the system of laws for their use appropriately supplemented so that the use of ChatGPT-type tools does not violate copyrights and that these tools are used in accordance with ethics and do not generate misinformation. Improving these tools so that they do not generate disinformation, do not create "fictitious facts" in the form of descriptions, essays, photos, videos, etc. containing nicely described, presented never and nowhere seemingly facts is to keep Big Data systems updated, update data sets and information, based on which they create answers to questions, create descriptions, photos, companies and so on. This is important because current online tools like ChatGPT often create "nicely described fictitious facts," which is used to generate fake news and misinformation in online social media. When all that I have written above would be corrected and the use completed, and not only in some parts of the world but on a global scale, then the creation of a new generation of something similar to ChatGPT, which will use databases built solely on the basis of online scientific knowledge bases, online scientific portals and online indexing databases of scientific publications would make sense and could prove helpful to people, including researchers and scientists. Besides, the current online ChatGPT-type tools are not perfect, as they draw data not directly in real-time online from specific databases and knowledge contained in selected websites and portals, but draw information, knowledge, data from an offline database created some time ago. For example, currently the most popular ChatGPT still relies on a database of data, information, etc. contained in many publication texts downloaded from selected websites and web portals but not today or yesterday downloaded only in 2021! So these are data and information already outdated on many issues. Hence the absurdities, inconsistencies with the facts, creation of "fictitious facts" by ChatGPT in a significant part of the answers generated by this system to questions asked by Internet users. In view of the above, in a number of issues, both technological, organizational, formal, normative, etc., such intelligent systems should be improved so that they can be used in open access in the applications I wrote about above.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion about it?

What is your opinion on this topic?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

The key issues of opportunities and threats to the development of artificial intelligence technologies are described in my article below:

Please write what you think in this issue? Do you see rather threats or opportunities associated with the development of artificial intelligence technology?

What is your opinion on this issue?

I invite you to familiarize yourself with the problems described in the article given above and to scientific cooperation on this issue.

Warm regards,

Dariusz Prokopowicz

The ongoing technological progress is characterized by the dynamic development of Industry 4.0/5.0 technologies, technologies typical of the current fourth technological revolution, including ICT information and communication technologies, technologies for advanced multi-criteria processing of large data sets and information resources. The development of information processing technologies in the era of the current technological revolution termed Industry 4.0/5.0 is determined by the development and growth of applications of ICT information and communication technologies, Internet technologies and advanced data processing, which include. : Big Data Analytics, Data Science, cloud computing, artificial intelligence, machine learning, deep learning, personal and industrial Internet of Things, Business Intelligence, autonomous robots, horizontal and vertical data system integration, multi-criteria simulation models, digital twins, additive manufacturing, Blockchain, smart technologies, cybersecurity instruments, Virtual and Augmented Reality, and other advanced data processing technologies Data Mining. Technological advances in computing, emerging faster and faster microprocessors, more and more capacious and high-speed data storage disks, etc., are making it possible to process large data sets faster and more efficiently. In addition, numerous new applications of the aforementioned technologies are emerging in various sectors of the economy by combining these technologies in various configurations for new applications. Numerous business applications of these technologies in companies and enterprises are emerging. The implementation of these technologies into the business activities of companies, enterprises, financial and public institutions contributes to increasing the efficiency of the implementation of certain processes. In view of the above, therefore, there is much to suggest that if not yet now, then soon the application of a combination of artificial intelligence technologies, Big Data Analytics and quantum computers may be helpful in terms of carrying out multi-faceted, complex strategic analyses of the business environment and determinants of company development, predictive analyses based on the processing of large data sets and, therefore, also in terms of strategic business management.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Thank you,

Best regards,

Dariusz Prokopowicz

Can the conduct of analysis and scientific research be significantly improved, increase efficiency, significantly shorten the execution of the process of research work through the use of Big Data Analytics and artificial intelligence applied to the processing of large data sets and realized by the most powerful quantum computers?

What are the analytical capabilities of processing large data sets extracted from the Internet and realized by the most powerful quantum computers, which also apply Industry 4.0/5.0 technologies, including generative artificial intelligence and Big Data Analytics technologies?

Can the scale of data processing carried out by the most powerful quantum computers be comparable to the data processing that is carried out in the billions of neurons of the human brain?

In recent years, the digitization of data and archived documents, digitization of data transfer processes, etc., has been progressing rapidly.

The progressive digitization of data and archived documents, digitization of data transfer processes, Internetization of communications, economic processes but also of research and analytical processes is becoming a typical feature of today's developing developed economies. Accordingly, developed economies in which information and computer technologies are developing rapidly and finding numerous applications in various economic sectors are called information economies. The societies operating in these economies are referred to as information societies. Increasingly, in discussions of this issue, there is a statement that another technological revolution is currently taking place, described as the fourth and in some aspects it is already the fifth technological revolution. Particularly rapidly developing and finding more and more applications are technologies classified as Industry 4.0/5.0. These technologies, which support research and analytical processes carried out in various institutions and business entities, include Big Data Analytics and artificial intelligence, including generative artificial intelligence with artificial neural network technology also applied and subjected to deep learning processes. As a result, the computational capabilities of microprocessors, which are becoming more and more perfect and processing data faster and faster, are gradually increasing. There is a rapid increase in the processing of ever larger sets of data and information. The number of companies, enterprises, public, financial and scientific institutions that create large data sets, massive databases of data and information generated in the course of a specific entity's activities and obtained from the Internet and processed in the course of conducting specific research and analytical processes is growing. In view of the above, the opportunities for the application of Big Data Analytics backed by artificial intelligence technology in terms of improving research techniques, in terms of increasing the efficiency of the research and analytical processes used so far, in terms of improving the scientific research conducted, are also growing rapidly. By using the combined technologies of Big Data Analytics, other technologies of Industry 4.0/5.0, including artificial intelligence and quantum computers in the processing of large data sets, the analytical capabilities of data processing and thus also conducting analysis and scientific research can be significantly increased.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion about it?

What do you think about this topic?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

Join, and show advocacy to the European Brain Council (EBC) which comprises nine member organizations, which are two of them are patient groups, and the other seven groups represent the research community, including the EAN and those working in mental health dedicated to overcoming socioeconomic burden on society from brain-related problems worldwide embarking from the EBC humanity efforts:

“We want to speak with one voice […] the individual funding organizations were all trying to do their advocacy, reaching out to the commission,” she said. “But it’s hard to meet politicians. If you have a common goal that all these organizations would support, it’s great to have one voice and one representative.”

“We want to translate that knowledge into new breakthroughs that can really help the patient,” she said. The Re-Thinking series, which is a follow-on from the value of treatment studies, offers to rethink diseases such as migraine, schizophrenia and multiple sclerosis. “Our target audiences are those involved in policies, to tell them where we’re at.” The Brain Innovation Days will take place on 26-27 October and are meant to be a platform where the community can interact with innovators. The EBC is also leading a global partnership in brain research, to move its activities outside of Europe and to a broader scale.

European advocacy in the brain space

Can somebody endorse me for the cs.AI category for Arxiv?

I am trying to submit my first paper in this category which requires endorsement from experts in the field.

I can DM the paper if somebody wants to have a look.

Endorsement Code: U3QQIY

Thanks in advance

Mohit

All these terms are so confusing! I want to understand these terminologies in a very crisp and simplified manner. Can someone help me out with this confusion explaining their differences and real life examples? Any authorized books of reputed publishers? Thanks in advance.

The progressive digitization of data and archived documents, digitization of data transfer processes, Internetization of communications, economic processes but also of research and analytical processes is becoming a typical feature of today's developing developed economies. Currently, another technological revolution is taking place, described as the fourth and in some aspects it is already the fifth technological revolution. Particularly rapidly developing and finding more and more applications are technologies categorized as Industry 4.0/5.0. These technologies, which support research and analytical processes carried out in various institutions and business entities, include Big Data Analytics and artificial intelligence. The computational capabilities of microprocessors, which are becoming more and more perfect and processing data faster and faster, are successively increasing. The processing of ever-larger sets of data and information is growing. Databases of data and information extracted from the Internet and processed in the course of conducting specific research and analysis processes are being created. In connection with this, the possibilities for the application of Big Data Analytics supported by artificial intelligence technology in terms of improving research techniques, in terms of increasing the efficiency of the research and analytical processes used so far, in terms of improving the scientific research being conducted, are also growing rapidly.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think on this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

The above text is entirely my own work written by me on the basis of my research.

Copyright by Dariusz Prokopowicz

On my profile of the Research Gate portal you can find several publications on Big Data issues. I invite you to scientific cooperation in this problematic area.

Dariusz Prokopowicz

Hello people, I have a dataset of inhibitors as binary labels ( Zeros - Inactive , Ones - Active ). I have my ML/AI model working, now I would like to know how many are the best inhibitors out of these. Could anyone help me what should I do and what can be done to resolve my problems?

TIA

#DrugDesign #ML #AI #DataScience #DrugDiscovery

How to create a system of digital, universal labelling of different types of works, texts, texts, photos, publications, graphics, videos, innovations, patents, etc. performed by artificial intelligence and not by humans, i.e. works whose legal, ethical, moral, business, security qualification .... etc. should be different for what is the product of artificial intelligence?

Two days earlier, in an earlier post, I started a discussion on the question of the necessity of improving the security of the development of artificial intelligence technology and asked the following questions: how should the system of institutional control of the development of advanced artificial intelligence models and algorithms be structured, so that this development does not get out of control and lead to negative consequences that are currently difficult to foresee? Should the development of artificial intelligence be subject to control? And if so, who should exercise this control? How should an institutional system for controlling the development of artificial intelligence applications be built? Why are the creators of leading technology companies developing ICT, Internet technologies, Industry 4.0, including those developing artificial intelligence technologies, etc. now calling for the development of this technology to be periodically, deliberately slowed down, so that the development of artificial intelligence technology is fully under control and does not get out of hand? On the other hand, while continuing my reflections on the indispensability of improving the security of the development of artificial intelligence technology, analysing the potential risks of the dynamic and uncontrolled development of this technology, I hereby propose to continue my deliberations on this issue and invite you to participate in a discussion aimed at identifying the key determinants of building an institutional control system for the development of artificial intelligence, including the development of advanced models composed of algorithms similar or more advanced to the ChatGPT 4.0 system developed by the OpenAI company and available on the Internet. It is necessary to normatively regulate a number of issues related to artificial intelligence, both the issue of developing advanced models composed of algorithms that form artificial intelligence systems; posting these technological solutions in open access on the Internet; enabling these systems to carry out the process of self-improvement through automated learning of new content, knowledge, information, abilities, etc.; building an institutional system of control over the development of artificial intelligence technology and current and future applications of this technology in various fields of activity of people, companies, enterprises, institutions, etc. operating in different sectors of the economy. Recently, realistic-looking photos of well-known, highly recognisable people, including politicians, presidents of states in unusual situations, which were created by artificial intelligence, have appeared on the Internet on online social media sites. What has already appeared on the Internet as a kind of 'free creativity' of artificial intelligence, creativity both in terms of the creation of 'fictitious facts' in descriptions of events that never happened, in descriptions created as an answer to a question posed for the ChatGPT system, and in terms of photographs of 'fictitious events', already indicates the potentially enormous scale of disinformation currently developing on the Internet, and this is thanks to the artificial intelligence systems whose products of 'free creativity' find their way onto the Internet. With the help of artificial intelligence, in addition to texts containing descriptions of 'fictitious facts', photographs depicting 'fictitious events', it is also possible to create films depicting 'fictitious events' in cinematic terms. All of these creations of 'free creation' by artificial intelligence can be posted on social media and, in the formula of viral marketing, can spread rapidly on the Internet and can thus be a source of serious disinformation realised potentially on a large scale. Dangerous opportunities have therefore arisen for the use of technology to generate disinformation about, for example, a competitor company, enterprise, institution, organisation or individual. Within the framework of building an institutional control system for the development of artificial intelligence technology, it is necessary to take into account the issue of creating a digital, universal marking system for the various types of works, texts, photos, publications, graphics, films, innovations, patents, etc. performed by artificial intelligence and not by humans, i.e. works whose legal, ethical, moral, business, security qualification ..., should be different for what is the product of artificial intelligence. It is therefore necessary to create a system of digital, universal labelling of the various types of works, texts, photos, publications, graphics, videos, etc., made by artificial intelligence and not by humans. The only issue for discussion is therefore how this should be done.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Best regards,

Dariusz Prokopowicz