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This research proposes "peer $k$-oversight," a design principle ensuring that at least $k$ agents are responsible for every harmful outcome in sequential collective decision mechanisms. The authors demonstrate that this safety constraint is achievable using only $k$ agents via control redistribution and provide a polynomial-time algorithm to construct such systems. These findings offer a tractable framework for enhancing accountability and safety in multi-agent AI systems where joint responsibility is critical.
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What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Peer Oversight in Collective Decision Making

arXiv1 min read

arXiv:2608.28754v1 Announce Type: cross Abstract: This article introduces peer $k$-oversight, a property of sequential collective decision mechanisms requiring at least $k$ agents to be responsible for every harmful outcome. It is shown that whenever $k$-oversight can be achieved by redistributing control over the decisions in a mechanism, it can be achieved using just $k$ agents. A polynomial-time algorithm is also presented that determines whether such a redistribution exists and, when it does, constructs one. These results establish peer oversight as a tractable design principle for multiagent decision-making systems.

Abstract:This article introduces peer $k$-oversight, a property of sequential collective decision mechanisms requiring at least $k$ agents to be responsible for every harmful outcome. It is shown that whenever $k$-oversight can be achieved by redistributing control over the decisions in a mechanism, it can be achieved using just $k$ agents. A polynomial-time algorithm is also presented that determines whether such a redistribution exists and, when it does, constructs one. These results establish peer oversight as a tractable design principle for multiagent decision-making systems.

Computer Science and Game Theory (cs.GT); Artificial Intelligence (cs.AI); Multiagent Systems (cs.MA)

arXiv:2608.28754 [cs.GT]

(or arXiv:2608.28754v1 [cs.GT] for this version)

https://doi.org/10.48550/arXiv.2608.28754 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 186 words

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