Discrimination Detection

Discrimination Detection is a computational method designed to identify unlawful or biased disparities in algorithmic decision-making systems by systematically measuring the extent to which outcomes vary across protected attributes such as race, gender, or ethnicity.

123

Publications

8K

Citations

282

Authors

146

Institutions

Publications per year

2017–2026

47

Authors

282

  1. SR
    Salvatore Ruggieri

    University of Pisa, Italy

    9 publications · 846 citations

    9

    h-index

  2. FT
    Franco Turini

    University of Pisa, Italy

    8 publications · 834 citations

    8

    h-index

  3. DP
    Dino Pedreschi

    University of Pisa, Italy

    7 publications · 644 citations

    7

    h-index

  4. YW
    Yongkai Wu

    University of Arkansas at Fayetteville, United States

    5 publications · 304 citations

    5

    h-index

  5. XW
    Xintao Wu

    University of Arkansas at Fayetteville, United States

    5 publications · 304 citations

    5

    h-index

1–5 of 282

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 246 citations

    10

    h-index

  2. SSRN Electronic Journal

    Repository · 4 publications · 77 citations

    4

    h-index

  3. Science

    3 publications · 169 citations

    3

    h-index

  4. Artificial Intelligence and Law

    AIL · 3 publications · 216 citations

    3

    h-index

  5. The Journal of Human Resources

    JHR · 2 publications · 283 citations

    2

    h-index

1–5