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Title: Building ethics into artificial intelligence
Authors: Yu, Han
Shen, Zhiqi
Miao, Chunyan
Leung, Cyril
Lesser, Victor Richard
Yang, Qiang
Keywords: Engineering::Computer science and engineering
Issue Date: 2018
Source: Yu, H., Shen, Z., Miao, C., Leung, C., Lesser, V. R., & Yang, Q. (2018). Building ethics into artificial intelligence. IJCAI'18: Proceedings of the 27th International Joint Conference on Artificial Intelligence, 5527-5533.
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.
Rights: © 2018 International Joint Conferences on Artificial Intelligence. All rights reserved. This paper was published in IJCAI'18: Proceedings of the 27th International Joint Conference on Artificial Intelligence and is made available with permission of International Joint Conferences on Artificial Intelligence.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Conference Papers

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