Human Values in Multiagent Systems
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Abstract (arXiv)
One of the major challenges we face with ethical AI today is developing computational systems whose reasoning and behaviour are provably aligned with human values. Human values, however, are notorious for being ambiguous, contradictory and ever-changing. In order to bridge this gap, and get us closer to the situation where we can formally reason about implementing values into AI, this paper presents a formal representation of values, grounded in the social sciences. We use this formal representation to articulate the key challenges for achieving value-aligned behaviour in multiagent systems (MAS) and a research roadmap for addressing them.
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References · 5
- 2020Artificial Intelligence, Values and Alignmentcited by 443
- 2020Trustworthy AIcited by 62
- 2017Acquiring Background Knowledge to Improve Moral Value Predictioncited by 22
- 2021Value alignment: a formal approachcited by 18
- 2019A Value-based Trust Assessment Model for Multi-agent Systemscited by 4
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