posted on 2021-11-04, 15:36authored byVahid Yazdanpanah, Enrico Gerding, Sebastian Stein, Corina Cirstea, M.C. Schraefel, Timothy James Norman, Nick JenningsNick Jennings
Ensuring trustworthy performance of autonomous agents and Multiagent Systems (MAS) requires computational methods and formal tools to support reasoning about different forms of responsibility. In particular, such tools are needed to support identifying agents or agent groups that are responsible, blameworthy, accountable, or sanctionable for outcomes of collective decisions, for fulfilling tasks, or for adhering to norms and social values. As a step towards developing computational frameworks to represent, reason about, and distinguish these forms of responsibility in MAS, for the first time, we present sociotechnical characteristics of these notions of responsibility, identify their requirements, and discuss their applicability for coordinating MAS and ensuring their trustworthiness. This is a step towards establishing a research agenda on how computational techniques for reasoning about and distinguishing different forms of responsibility contribute to the transformation towards ethical and trustworthy autonomous systems.
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