Building Ethics into Artificial Intelligence

Han Yu · Zhiqi Shen · Chunyan Miao · Cyril Leung · Victor Lesser · Qiang Yang

210 citations0/0 files storedInternational Joint Conference on Artificial Intelligence

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Ethics and Social Impacts of AI Ethics in Business and Education Explainable Artificial Intelligence (XAI)

Abstract

As artificial intelligence (AI) systems become increasingly ubiquitous, the topic of AI governance for ethical decision-making by AI has captured public imagination. Within the AI research community, this topic remains less familiar to many researchers. In this paper, we complement existing surveys, which largely focused on the psychological, social and legal discussions of the topic, with an analysis of recent advances in technical solutions for AI governance. By reviewing publications in leading AI conferences including AAAI, AAMAS, ECAI and IJCAI, we propose a taxonomy which divides the field into four areas: 1) exploring ethical dilemmas; 2) individual ethical decision frameworks; 3) collective ethical decision frameworks; and 4) ethics in human-AI interactions. We highlight the intuitions and key techniques used in each approach, and discuss promising future research directions towards successful integration of ethical AI systems into human societies.

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References

2016The social dilemma of autonomous vehicles 2017What is consciousness, and could machines have it?2009Moral machines: teaching robots right from wrong 2016There is a blind spot in AI research 2014Do People Have Insight Into Their Abilities? A Metasynthesis 2017Incorporating Ethics into Artificial Intelligence 2008Moral Machines: Teaching Robots Right from Wrong

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