Blameworthiness in Multi-Agent Settings
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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.
- 2023Reasoning about Causality in Gamescited by 20
- 2021On Blame Attribution for Accountable Multi-Agent Sequential Decision Makingcited by 13
- 2022Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processescited by 8
- 2024Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Makingcited by 4
- 2023Towards Computationally Efficient Responsibility Attribution in Decentralized Partially Observable MDPscited by 3
- 2024Causal Responsibility Attribution for Human-AI Collaborationcited by 2
- 2026Counterfactual Reasoning for Causal Responsibility Attribution in Probabilistic Multi-Agent Systemscited by 2
- 2024Measuring Responsibility in Multi-Agent Systemscited by 1
- 2023Causal Kripke Modelscited by 0
- 2024The Benefits of Power Regularization in Cooperative Reinforcement Learningcited by 0
- 2026AUDITA: certified auditing and causal attribution of adverse outcomes in autonomous multi-agent systemscited by 0
- 2026AUDITA: certified auditing and causal attribution of adverse outcomes in autonomous multi-agent systems23 Aug 2026
- 2026Counterfactual Reasoning for Causal Responsibility Attribution in Probabilistic Multi-Agent Systems13 May 2026
- 2024Causal Responsibility Attribution for Human-AI Collaboration5 Nov 2024
- 2024Measuring Responsibility in Multi-Agent Systems31 Oct 2024
- 2024Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making16 Oct 2024
- 2024The Benefits of Power Regularization in Cooperative Reinforcement Learning17 Jun 2024
- 2023Causal Kripke Models11 Jul 2023
- 2023Towards Computationally Efficient Responsibility Attribution in Decentralized Partially Observable MDPs24 Feb 2023
- 2023Reasoning about Causality in Games5 Jan 2023
- 2022Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes1 Apr 2022
- 2021On Blame Attribution for Accountable Multi-Agent Sequential Decision Making26 Jul 2021