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ArxivPaperAI

Human Values in Multiagent Systems

Author:
Nardine Osman, Mark d'Inverno
Keyword:
Computer Science, Artificial Intelligence, Artificial Intelligence (cs.AI), Computers and Society (cs.CY), Multiagent Systems (cs.MA)
journal:
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date:
2023-05-03 16:00:00
Abstract
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.
PDF: Human Values in Multiagent Systems.pdf
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