mlsanityData to 14 Oct 2026

Blameworthiness in Multi-Agent Settings

arXiv 1903.04102 ↗First posted 11 Mar 2019cs.CY cs.AI cs.MAcited by 11

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Abstract (arXiv)

We provide a formal definition of blameworthiness in settings where multiple agents can collaborate to avoid a negative outcome. We first provide a method for ascribing blameworthiness to groups relative to an epistemic state (a distribution over causal models that describe how the outcome might arise). We then show how we can go from an ascription of blameworthiness for groups to an ascription of blameworthiness for individuals using a standard notion from cooperative game theory, the Shapley value. We believe that getting a good notion of blameworthiness in a group setting will be critical for designing autonomous agents that behave in a moral manner.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 Mar 2019.

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Citing papers per year: 2021: 1; 2022: 1; 2023: 3; 2024: 4; 2025: 0; 2026: 2.

11 papers.