Algorithmic Risk

Algorithmic Risk is a type of technological risk that arises from the design, deployment, or operation of algorithms, distinguished by the potential for erroneous, biased, or harmful decisions due to flaws in algorithmic logic, data inputs, or systemic feedback loops.

57

Publications

6.1K

Citations

140

Authors

90

Institutions

Publications per year

2017–2026

49

Authors

140

  1. MT
    Megan T. Stevenson

    University of Virginia, United States

    4 publications · 156 citations

    4

    h-index

  2. SR
    Shalaleh Rismani

    McGill University, Canada

    4 publications · 371 citations

    4

    h-index

  3. AM
    AJung Moon

    University of British Columbia, Canada

    3 publications · 267 citations

    3

    h-index

  4. JL
    Jennifer L. Doleac

    Texas A&M University, United States

    3 publications · 134 citations

    3

    h-index

  5. RS
    Renee Shelby

    Google (United States), United States

    3 publications · 267 citations

    3

    h-index

1–5 of 140

Venues

  1. SSRN Electronic Journal

    Repository · 5 publications · 191 citations

    5

    h-index

  2. Proceedings of the ACM on Human-Computer Interaction

    PACMHCI · 2 publications · 73 citations

    2

    h-index

  3. Big Data & Society

    2 publications · 87 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 43 citations

    2

    h-index

  5. Internet Policy Review

    1 publications · 34 citations

    1

    h-index

1–5