Empirical Inference

On the Fairness of Causal Algorithmic Recourse

2022

Conference Paper

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Author(s): von Kügelgen, J. and Karimi, A.-H. and Bhatt, U. and Valera, I. and Weller, A. and Schölkopf, B.
Book Title: Proceedings of the 36th AAAI Conference on Artificial Intelligence
Volume: 9
Pages: 9584--9594
Year: 2022
Month: February
Publisher: AAAI Press

Department(s): Empirical Inference, Probabilistic Learning Group
Research Project(s): Accountability and Recourse
Bibtex Type: Conference Paper (conference)

DOI: 10.1609/aaai.v36i9.21192
Event Name: Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022)
Event Place: Vancouver, BC, Canada

Address: Palo Alto, CA
ISBN: 978-1-57735-876-3
Note: *also at ICML 2021 Workshop Algorithmic Recourse and NeurIPS 2020 Workshop Algorithmic Fairness through the Lens of Causality and Interpretability (AFCI)
State: Published
URL: https://sites.google.com/view/recourse21/home

Links: arXiv

BibTex

@conference{Kugelgen20,
  title = {On the Fairness of Causal Algorithmic Recourse},
  author = {von K{\"u}gelgen, J. and Karimi, A.-H. and Bhatt, U. and Valera, I. and Weller, A. and Sch{\"o}lkopf, B.},
  booktitle = {Proceedings of the 36th AAAI Conference on Artificial Intelligence},
  volume = {9},
  pages = {9584--9594},
  publisher = {AAAI Press},
  address = {Palo Alto, CA},
  month = feb,
  year = {2022},
  note = {*also at ICML 2021 Workshop Algorithmic Recourse and NeurIPS 2020 Workshop Algorithmic Fairness through the Lens of Causality and Interpretability (AFCI)},
  doi = {10.1609/aaai.v36i9.21192},
  url = {https://sites.google.com/view/recourse21/home},
  month_numeric = {2}
}