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The rapid development of artificial intelligence has brought the artificial intelligence threat theory as well as the problem about how to evaluate the intelligence level of intelligent products. Both need to find a quantitative method to evaluate the intelligence level of intelligence systems, including human intelligence. Based on the standard in...
Citations
... -In 2012, the ImageNet competition was won by AlexNet [3] with 15.3% top-5 test error rate and 26.3% second best. -In 2014 and 2017, the maximum IQ values of roughly 27 and 47, respectively, corresponding to a 6-year-old child in first grade, were found in intelligence tests conducted on publicly available and freely accessible weak AI, such as Google AI, Apple's Siri, and others [4,5]. -2020, GPT-3 by OpenAI [6], which could perform many diverse tasks without training for specific tasks, is far from AGI but too advanced to be classified as Artificial Narrow Intelligence (ANI). ...
... Recent scientific studies in this regard are focusing on the intelligence of the machines, presented by their so-called cognitive component, including the ability to acquire information necessary for the achievement of a specific goal, processing this information through various machine learning (ML) methods, shaping a domain-specific knowledge, and as a result, implementation of respective action. The effectiveness of the ML process, measured through feedback from the machine, forms its individual intelligence quotient (IQ) [1], just like the IQ scoring for human individuals. ...
Social awareness and relationship management components can be seen as a form of emotional intelligence. In the present work, we propose task-related adaptation on the machine side that accounts for a person’s momentous cognitive and emotional state. We validate the practical significance of the proposed approach in person-specific and person-independent setups. The analysis of results in the person-specific setup shows that the individual optimal performance curves for that person, according to the Yerkes–Dodson law, are displaced. Awareness of these curves allows for automated recognition of specific user profiles, real-time monitoring of the momentous condition, and activating a particular relationship management strategy. This is especially important when a deviation is detected caused by a change in the person’s state of mind under the influence of known or unknown factors.
... An average adult IQ score is approximately 100. Similar tests were performed in 2014, with IQ scores reaching a maximum value of 27 [62]. In 2020, OpenAI developed GPT-3, a model language model capable of performing a wide variety of tasks without specific training. ...
The potential risks posed by robots with advanced artificial intelligence (also known as Artificial General Intelligence - AGI), against humanity are categorized and discussed. The threats of this type of artificial intelligence in robots can be observed from several different approaches such as social, security and safety problems. Potential threats are rising not only from AGI, but also from human behavior in presence of AGI. Advanced applications such as chatbots, android robots, lethal weapons, etc. were assessed by means of different observed flaws (such as intention to harm humans, human-point-of-view manipulation, erroneous harming states). Also the ability of human-based society to predict and to control development of AGI, also to cope with potential risks was investigated. Keywords: AI Safety, Cybersecurity, Android Robots, Safety of Robots, Superintelligence.
