Automated Decision-making

Automated Decision-Making is a decision-making process that belongs to the class of data processing systems in which decisions are made by technological means without human intervention, distinguished by the use of algorithms, machine learning, or rule-based systems to evaluate and act upon personal data to produce legal effects or similarly significant outcomes for individuals.

478

Publications

34.4K

Citations

1.3K

Authors

584

Institutions

Publications per year

2017–2026

292

Variants

Adm

Authors

1.3K

  1. JC
    Jennifer Cobbe

    University of Cambridge, United Kingdom

    5 publications · 300 citations

    5

    h-index

  2. MV
    Michael Veale

    University College London, United Kingdom

    4 publications · 241 citations

    4

    h-index

  3. AG
    Avi Goldfarb

    University of Toronto, Canada

    4 publications · 740 citations

    4

    h-index

  4. JS
    Jatinder Singh

    University of Cambridge, United Kingdom

    4 publications · 175 citations

    4

    h-index

  5. BM
    Brent Mittelstadt

    University of Oxford, United Kingdom

    4 publications · 2.2K citations

    4

    h-index

1–5 of 1.3K

Venues

  1. SSRN Electronic Journal

    Repository · 18 publications · 1.4K citations

    16

    h-index

  2. arXiv (Cornell University)

    Repository · 18 publications · 700 citations

    16

    h-index

  3. Computer law & security review

    8 publications · 498 citations

    8

    h-index

  4. PubMed

    Repository · 8 publications · 296 citations

    8

    h-index

  5. IEEE Access

    5 publications · 175 citations

    5

    h-index

1–5