Building ethics into artificial intelligence
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,...
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2020
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sg-ntu-dr.10356-1393482020-05-19T03:38:11Z Building ethics into artificial intelligence Yu, Han Shen, Zhiqi Miao, Chunyan Leung, Cyril Lesser, Victor Richard Yang, Qiang School of Computer Science and Engineering IJCAI'18: Proceedings of the 27th International Joint Conference on Artificial Intelligence LILY Research Centre Alibaba-NTU Singapore Joint Research Institute Engineering::Computer science and engineering Ethics Artificial Intelligence 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. NRF (Natl Research Foundation, S’pore) MOE (Min. of Education, S’pore) MOH (Min. of Health, S’pore) Accepted version 2020-05-19T03:38:11Z 2020-05-19T03:38:11Z 2018 Conference Paper 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. https://dl.acm.org.remotexs.ntu.edu.sg/doi/10.5555/3304652.3304793 https://hdl.handle.net/10356/139348 5527 5533 en © 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. application/pdf |
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Engineering::Computer science and engineering Ethics Artificial Intelligence Yu, Han Shen, Zhiqi Miao, Chunyan Leung, Cyril Lesser, Victor Richard Yang, Qiang Building ethics into artificial intelligence |
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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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School of Computer Science and Engineering |
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School of Computer Science and Engineering Yu, Han Shen, Zhiqi Miao, Chunyan Leung, Cyril Lesser, Victor Richard Yang, Qiang |
format |
Conference or Workshop Item |
author |
Yu, Han Shen, Zhiqi Miao, Chunyan Leung, Cyril Lesser, Victor Richard Yang, Qiang |
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Yu, Han |
title |
Building ethics into artificial intelligence |
title_short |
Building ethics into artificial intelligence |
title_full |
Building ethics into artificial intelligence |
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Building ethics into artificial intelligence |
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Building ethics into artificial intelligence |
title_sort |
building ethics into artificial intelligence |
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2020 |
url |
https://dl.acm.org.remotexs.ntu.edu.sg/doi/10.5555/3304652.3304793 https://hdl.handle.net/10356/139348 |
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1681056681344106496 |