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Layers of the Android operating system architecture (see [27] for details).

Layers of the Android operating system architecture (see [27] for details).

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The development of numerical methods and information technologies is occurring at a rapid pace. Hence, the main research question addressed by this work is whether ethics is required for artificial intelligence (AI), and thus (1) ‘Are the existing documents regulating the ethics of AI sufficient?’ and (2) ‘Is there a need to develop new regulations...

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... architecture could be divided into 4 main layers (Fig. 1). The lowest layer is the Linux kernel, which manages all necessary device drivers, and provides abstraction mechanisms for the higher layers. The next one is the Libraries layer incorporating SQL database, website browser engine, libraries responsible for the security, among others. Runtime environment (RE) exists at the same level. It ...
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... leads to the development of an intelligent client/controller side. The SAND reference architecture is presented in Figure 1. The SAND reference architecture contains four types of components: ...
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... conducting the initial research on the effectiveness of the constructed algorithm and its implementation, an eight-element character rose was used to describe the contour of the elements, see Figure 1. Creating a string code starts from the point selected by the authors and also progresses in the chosen direction. ...
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... conducting the initial research on the effectiveness of the constructed algorithm and its implementation, an eight-element character rose was used to describe the contour of the elements, see Figure 1. For testing, a set of artificially prepared elements was used, which means that the contours do not reflect the shapes of real museum or archaeological artefacts, see Table 1. ...
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... testing, a set of artificially prepared elements was used, which means that the contours do not reflect the shapes of real museum or archaeological artefacts, see Table 1. The graphical representation of the prepared elements may create unclosed contours, which is connected with the limitations resulting from the resolution of the compass rose, see Figure 1 (the total length of vectors does not always coincide with the actual length of the element's circumference). The algorithm to compare elements in order to reduce the possibility of their erroneous bonding does not take into account two extreme vectors (first and last) from the starting point. ...
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... 8 presents several solutions that have been generated by the implementation of subsequent scenarios. It can be noted that the contours are not closed, which results directly from the adopted method of discretization elements in the form of string codes (Fig. 1). There will often be some gap resulting from the difference between the length of the real/original contour and the contour using fixed lengths of component segments. Figure 8-B (from S16 -random order, P2 = 5, P3 = 1) presents an example that constitutes the majority of those that were determined in the course of all experiments. ...
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... analysis was conducted and the results obtained are presented below. Figure 1 presents the bar plots with the percentage of familiarity and use of specific instant messaging applications by different genders. It can be noticed that there are no significant differences between men's and women's knowledge about the main instant messaging applications, but in terms of use, it can be observed that some applications such as Skype and, especially, Instagram present higher interest for women. ...
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... primary function, which is designing primers, is depicted in Figure 1. As shown, the user can modify the conditions of the process. ...
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... is based on the principle of static threshold. If the current value of acceleration in Z axis, which is perpendicular to the Earth's surface, and is corresponding to the movement of the car up or down is exceeding the threshold, as presented in the Figure 1 (red), the analyzed data point is being marked as possible road artefact. Such simple solution is highly dependent on the chosen threshold value. ...
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... Z-DIFF [12] is based on the difference between two subsequent datapoints, as presented in the Figure 1 (green). The absolute difference of raw acceleration value in the Z axis between two subsequent datapoints is being compared to the defined static threshold. ...
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... errors. A standard cellular automaton consists of a network of single cells i and is defined by a set of states and rules defining the change of state at time t depending on the cell possessed by the cell at time t-1 and the states of its neighbours. In the case of 2D cellular machines, several types of neighbourhoods can be distinguished (Fig. 1). Cellular Automata (CA) are usually described with the help of two numbers, k -which is the number of states that a cell can reach, and r -the surroundings, which specifies the distance from the cell to its nearest neighbours. The bestknown cellular automaton is Conway's Game of Life (k = 2, r = 1), thus CA Life can be represented with ...

Citations

... As educational systems explore the integration of AI into conventional classrooms, online platforms, and mobile learning management systems, it is critical to strike a balance between efficiency, benefits, security, and other considerations (Hagendorff, 2019;Abrams et al., 2019). Discussions about the ethical implications of AI in education started around 20 years ago (Aiken & Epstein, 2000), and today numerous well-known technology companies have their own AI ethics panels (Lee, 2019). However, given the continuously evolving nature of educational AI technology, particular AI ethics guidelines are necessary. ...
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Abstract ChatGPT and AI tools are gaining popularity among students for accomplishing their academic tasks which calls for research study in this area. Present research is aimed to analyze the benefits, challenges and ethical concerns about ChatGPT and AI tools usage by higher education students for academic purposes. Quantitative approach with descriptive research was adopted to carry out present research. 143 students from two public universities in Islamabad took part in research. Results exhibited that most students agreed on the benefits of AI tools for academic purposes. However, students also indicated concerns about academic integrity regarding the use of AI tools for academic purposes. Students further showed their concerns about regulations, information privacy, cognitive biases, gender & diversity, accessibility and commercialization of ChatGPT and AI tools while using them for academic purposes. Additionally, challenges and ethical concerns such as academic integrity, lack of regulation and cognitive bias significantly impact the usage of ChatGPT and AI Tools among students for academic purposes. It is recommended that students be provided training through workshops about the use of ChatGPT and AI Tools for academic purposes.
... Not having access to AI ethics courses and, getting lecturers to include it in their lecture material since it is not in the approved curriculum. Lack of an AI code of ethics, and existing documents regulating AI ethics, may hinder the development of new applications for intelligent devices in the future (Słoniec and Kaczorowska 2020). There are challenges of lack of well-equipped AI laboratories and hubs in the universities with the necessary technical tools for data collection. ...
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Artificial Intelligence (AI) is becoming pervasive. It is also an exciting field because it is making our lives much better, by doing most of the work for us. For example, driving our cars, medical jobs, accounting jobs, all sorts of jobs.
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Recent developments in the research field of artificial intelligence (AI) based on neural networks provide challenging questions regarding the ethical principles that should be applied in this complex domain. Kagan et al.’s published study highlights the fact that their synthetic biological intelligence (SBI) called ”DishBrain”, made of neurons from embryonic mice or human pluripotent stem cells grown on electronic chips connected to a computer, is capable of learning to play the arcade game Pong and shows signs of sentience. Based on this study, we tried to address some ethical questions regarding the bio-cybernetic cerebral organoids in SBI’s. Firstly, we approach the ethical aspects of human-animal chimeras in SBI’s based on the concept of human dignity and if it can or cannot be attributed to those hybrid systems. Secondly, we focus on if we can and what type of moral status should we attribute to SBI’s starting from different conceptualizations of human and animal moral status to different model-based arguments considering the capacity of sentience and the presence of human cells in this type of construct. We highlight how many arguments are in favor of starting an ethical debate on the emergent technology of bio-cybernetic cerebral organoids to obtain a consensus on how these organoids will exist and will be accepted in society.
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The emergence of digital platforms and the new application economy are transforming healthcare and creating new opportunities and risks for all stakeholders in the medical ecosystem. Many of these developments rely heavily on data and AI algorithms to prevent, diagnose, treat, and monitor diseases and other health conditions. A broad range of medical, ethical and legal knowledge is now required to navigate this highly complex and fast-changing space. This collection brings together scholars from medicine and law, but also ethics, management, philosophy, and computer science, to examine current and future technological, policy and regulatory issues. In particular, the book addresses the challenge of integrating data protection and privacy concerns into the design of emerging healthcare products and services. With a number of comparative case studies, the book offers a high-level, global, and interdisciplinary perspective on the normative and policy dilemmas raised by the proliferation of information technologies in a healthcare context.
Article
The emergence of digital platforms and the new application economy are transforming healthcare and creating new opportunities and risks for all stakeholders in the medical ecosystem. Many of these developments rely heavily on data and AI algorithms to prevent, diagnose, treat, and monitor diseases and other health conditions. A broad range of medical, ethical and legal knowledge is now required to navigate this highly complex and fast-changing space. This collection brings together scholars from medicine and law, but also ethics, management, philosophy, and computer science, to examine current and future technological, policy and regulatory issues. In particular, the book addresses the challenge of integrating data protection and privacy concerns into the design of emerging healthcare products and services. With a number of comparative case studies, the book offers a high-level, global, and interdisciplinary perspective on the normative and policy dilemmas raised by the proliferation of information technologies in a healthcare context.