Blameworthiness in Multi-Agent Settings

Authors

  • Meir Friedenberg Cornell University
  • Joseph Y. Halpern Cornell University

DOI:

https://doi.org/10.1609/aaai.v33i01.3301525

Abstract

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.

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Published

2019-07-17

How to Cite

Friedenberg, M., & Halpern, J. Y. (2019). Blameworthiness in Multi-Agent Settings. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 525-532. https://doi.org/10.1609/aaai.v33i01.3301525

Issue

Section

AAAI Special Technical Track: AI for Social Impact