Visible to the public Consent as a Foundation for Responsible AutonomyConflict Detection Enabled

TitleConsent as a Foundation for Responsible Autonomy
Publication TypeConference Paper
Year of Publication2022
AuthorsMunindar P. Singh
Conference NameProceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI)
PublisherAAAI Press
Conference LocationVancouver
Keywords2021: October, NCSU, Policy-Governed Secure Collaboration, Reasoning about Accidental and Malicious Misuse via Formal Methods
AbstractThis paper focuses on a dynamic aspect of responsible autonomy, namely, to make intelligent agents be responsible at run time. That is, it considers settings where decision making by agents impinges upon the outcomes perceived by other agents. For an agent to act responsibly, it must accommodate the desires and other attitudes of its users and, through other agents, of their users. The contribution of this paper is twofold. First, it provides a conceptual analysis of consent, its benefits and misuses, and how understanding consent can help achieve responsible autonomy. Second, it outlines challenges for AI (in particular, for agents and multiagent systems) that merit investigation to form as a basis for modeling consent in multiagent systems and applying consent to achieve responsible autonomy.
NotesBlue Sky Track
Citation KeyAAAI-22:consent
Refereed DesignationRefereed

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