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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

2018

2017

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