Machine Learning Ethics

Machine Learning Ethics is a normative framework within the philosophy of artificial intelligence that systematically evaluates the moral implications, responsibilities, and societal impacts arising from the design, deployment, and governance of machine learning systems.

623

Publications

51.7K

Citations

1.6K

Authors

741

Institutions

Publications per year

2017–2026

598

Authors

1.6K

  1. LF
    Luciano Floridi

    University of Oxford, United Kingdom

    14 publications · 5K citations

    14

    h-index

  2. JM
    Jessica Morley

    University of Oxford, United Kingdom

    9 publications · 1.5K citations

    9

    h-index

  3. MD
    Melissa D. McCradden

    Hospital for Sick Children, Canada

    6 publications · 589 citations

    6

    h-index

  4. TH
    Thilo Hagendorff

    University of Tübingen, Germany

    6 publications · 340 citations

    6

    h-index

  5. LS
    Luke Stark

    New York University, United States

    4 publications · 537 citations

    5

    h-index

1–5 of 1.6K

Venues

  1. arXiv (Cornell University)

    Repository · 40 publications · 1.4K citations

    23

    h-index

  2. SSRN Electronic Journal

    Repository · 28 publications · 1.8K citations

    19

    h-index

  3. AI and Ethics

    14 publications · 883 citations

    14

    h-index

  4. AI & Society

    14 publications · 1.1K citations

    14

    h-index

  5. 2022 ACM Conference on Fairness, Accountability, and Transparency

    Conference · 8 publications · 397 citations

    10

    h-index

1–5