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Bayesian Persuasion for Algorithmic Recourse. (arXiv:2112.06283v3 [cs.GT] UPDATED)
Oct. 10, 2022, 1:12 a.m. | Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu
cs.LG updates on arXiv.org arxiv.org
When subjected to automated decision-making, decision subjects may
strategically modify their observable features in ways they believe will
maximize their chances of receiving a favorable decision. In many practical
situations, the underlying assessment rule is deliberately kept secret to avoid
gaming and maintain competitive advantage. The resulting opacity forces the
decision subjects to rely on incomplete information when making strategic
feature modifications. We capture such settings as a game of Bayesian
persuasion, in which the decision maker offers a form …
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