Robustness Implies Fairness in Causal Algorithmic Recourse

Ehyaei, A.-R.; Karimi, Amir-Hossein; Schölkopf, Bernhard; Maghsudi, S.

doi:10.1145/3593013.3594057

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Conference Paper

Robustness Implies Fairness in Causal Algorithmic Recourse

MPS-Authors

/persons/resource/persons277550

Karimi, Amir-Hossein
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons84193

Schölkopf, Bernhard
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

External Resource

https://doi.org/10.1145/3593013.3594057
(Publisher version)

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Ehyaei, A.-R., Karimi, A.-H., Schölkopf, B., & Maghsudi, S. (2023). Robustness Implies Fairness in Causal Algorithmic Recourse. In FAccT '23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (pp. 984-1001). ACM.

Cite as: https://hdl.handle.net/21.11116/0000-0010-5D7F-9

Abstract

There is no abstract available