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2018
Lazanyi, K. (2018) : Readiness for Artificial Intelligence: 2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY): Subotica, Serbia: IEEE, S. 000235-000238

DOI: https://doi.org/10.1109/SISY.2018.8524740

Abstract: In the age of the fourth industrial revolution, where collaborative systems are the real innovation people are still not prepared for the results of the third revolution, namely for artificial intelligence. While every change has its life cycle with innovators, early adopters, early majority before it can reach its fruition, the age of robots has too fast been followed by the internet of things (IoT) of the fourth industrial revolution. Hence, people didn’t have enough time to adapt to the change. In present paper a primary research is presented, that aimed to explore the attitude of young adolescents towards artificial intelligence. Based on the result, trust is clearly one of the main issues regarding change in general and readiness in particular. People are not ready for robotic peers within their workplace yet. Psychological and emotive needs shall be addressed for the people to accept artificial intelligence in their workplace and surrounding.

Keywords: AI, Artificial intelligence, change, collaborative systems, early adopters, Employment, fourth industrial revolution, groupware, ieee xplore, innovation people, Internet of things, Künstliche Intelligenz, ORGANIZATIONS, PSYCHOLOGY, readiness, robotic peers, service robot, technological innovation, Trust
2017
Hoeschl, Milena B.; Bueno, Tania C.D.; Hoeschl, Hugo C. (2017) : Fourth Industrial Revolution and the future of Engineering: Could Robots Replace Human Jobs? How Ethical Recommendations can Help Engineers Rule on Artificial Intelligence: 2017 7th World Engineering Education Forum (WEEF): Kuala Lumpur, Malaysia: IEEE, S. 21-26

DOI: https://doi.org/10.1109/WEEF.2017.8466973

Abstract: The current economic crisis, combined with the sudden increased use of Information Technology (IT) and Artificial Intelligence (AI) in human life presents new challenges and opportunities for engineering education and jobs. Engineering education needs to undergo a revolution; ethical issues that involve AI and the use of technologies need to be inserted in the learning process urgently to guarantee the employment of our future engineers. In this work we identified and evaluated issues and candidate recommendations from initiatives like “The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems” and “USA NSTC’s Subcommittee on Machine Learning and Artificial Intelligence” in order to provide a set of ethical principles and recommendations that are conversant with Engineering ethics defined by “Engineering Criteria 2000”. Some of these ethical principles and recommendations are highlighted with the objective of introducing AI in engineering education and improve the connections between technology and society.

Keywords: AI, Artificial intelligence, candidate recommendations, Companies, control engineering education, economic crisis, Engineering Criteria 2000, engineering education, Engineering ethics, ethical aspects, ethical considerations, ethical issues, ethical principles, ethical recommendations, fourth industrial revolution, human life, ieee xplore, Industries, Industry 4.0, Information technology, intelligent robots, Labor Market, Law, learning (artificial intelligence), Moral & Ethik, service robot
Hurlburt, G. (2017): How Much to Trust Artificial Intelligence?. In: IT Professional 19 (4), S. 7-11. DOI: 10.1109/MITP.2017.3051326

DOI: https://doi.org/10.1109/MITP.2017.3051326

Abstract: Considerable buzz surrounds artificial intelligence, and, indeed, AI is all around us. As with any software-based technology, it is also prone to vulnerabilities. Here, the author examines how we determine whether AI is sufficiently reliable to do its job and how much we should trust its outcomes.

Keywords: AI, Artificial intelligence, Cognitive systems, distributed computing, ieee xplore, Künstliche Intelligenz, machine learning, Machine learning algorithms, Software engineering, software-based technology, Trust, trusted computing
2013
Lorenčík, D.; Tarhaničová, M.; Sinčák, P. (2013) : Influence of Sci-Fi films on artificial intelligence and vice-versa: 2013 IEEE 11th International Symposium on Applied Machine Intelligence and Informatics (SAMI): Herl'any, Slovakia: IEEE, S. 27-31

DOI: https://doi.org/10.1109/SAMI.2013.6480990

Abstract: Sci-fi technological movie domain is an important part of human culture. The paper focus on comparison study of selected robotics sci-fi movie domain from a technological point of view. It is necessary to accomplish technological analysis of studied sci-fi movies and able to distinguish about possible current technology and future direction of the artificial intelligence in the domain of Robot intelligence. The review of existing movies which are in fact influencing thinking of humans is essential since it can influence a future research direction in AI. This information is interesting for inspiration of students and research associates in theory and applications. In conclusion, we envision potential problems of social networks and impact of Internet of things facts which is becoming a reality with IPv6 protocol. The goal of the paper is also to underline the importance of such cultural phenomena as sci-fi movies for the future of humanity.

Keywords: AI, Artificial intelligence, Computers, cultural phenomena, Films, human culture, ieee xplore, Internet of things, IP networks, IPv6 protocol, Künstliche Intelligenz, Motion Pictures, robot intelligence, Robot sensing systems, robotics sci-fi movie domain, Robots, sci-fi film influence, sci-fi technological movie domain, Social network services, social networking (online), social networks, technological analysis, transport protocols

2018

2017

2013

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