Public Sector Algorithm Use

Public Sector Algorithm Use is a scholarly construct denoting the systematic application of algorithmic systems by governmental and public institutions to support, automate, or inform administrative decision-making, service delivery, and regulatory functions, distinguished from private-sector algorithm use by its embeddedness in democratic accountability, public law, and institutional mandates to serve the common good.

19

Publications

1.4K

Citations

37

Authors

35

Institutions

Publications per year

2017–2026

19

Authors

37

  1. PD
    Pascal D. König

    University of Kaiserslautern, Germany

    3 publications · 173 citations

    3

    h-index

  2. GW
    Georg Wenzelburger

    University of Kaiserslautern, Germany

    3 publications · 173 citations

    3

    h-index

  3. JF
    Julia Felfeli

    University of Kaiserslautern, Germany

    2 publications · 98 citations

    2

    h-index

  4. AA
    Anja Achtziger

    Zeppelin Universität gemeinnützige GmbH, Germany

    2 publications · 98 citations

    2

    h-index

  5. CV
    Colin van Noordt

    Tallinn University of Technology, Estonia

    2 publications · 406 citations

    2

    h-index

1–5 of 37

Venues

  1. Proceedings of the ACM on Human-Computer Interaction

    PACMHCI · 2 publications · 22 citations

    3

    h-index

  2. 2022 ACM Conference on Fairness, Accountability, and Transparency

    Conference · 1 publications · 31 citations

    1

    h-index

  3. eYLS (Yale Law School)

    Repository · 1 publications · 52 citations

    1

    h-index

  4. Accounting Auditing & Accountability Journal

    1 publications · 76 citations

    1

    h-index

  5. Public Administration

    1 publications · 57 citations

    1

    h-index

1–5