Causal Fairness

Causal Fairness is a formal framework in algorithmic fairness that belongs to the class of fairness definitions based on causal reasoning, distinguished by its explicit modeling of cause-effect relationships to assess and ensure fairness through interventions on sensitive attributes in structural causal models.

37

Publications

3.4K

Citations

106

Authors

65

Institutions

Publications per year

2017–2026

33

Authors

106

  1. MJ
    Matt J. Kusner

    University College London, United Kingdom

    4 publications · 198 citations

    4

    h-index

  2. DS
    Dan Suciu

    University of Washington, United States

    3 publications · 186 citations

    3

    h-index

  3. BS
    Babak Salimi

    University of Washington, United States

    3 publications · 186 citations

    3

    h-index

  4. JR
    Joshua R. Loftus

    University College London, United Kingdom

    3 publications · 111 citations

    3

    h-index

  5. EB
    Elias Bareinboim

    Purdue University West Lafayette, United States

    3 publications · 236 citations

    3

    h-index

1–5 of 106

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 354 citations

    11

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 248 citations

    2

    h-index

  3. ALTEX

    1 publications · 18 citations

    1

    h-index

  4. 1

    h-index

  5. ACM SIGMOD Record

    1 publications · 28 citations

    1

    h-index

1–5