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‘Not all algorithms!’ Lessons from the Private Sector on Mitigating Gender Discrimination

Author: Winkler, M., Köhne, S., & Klöpper, M.
Published in: INFORMATIK 2022, Lecture Notes in Informatics (LNI), Gesellschaft für Informatik, 1289-1303
Year: 2022
Type: Academic articles

In the public sector, the use of algorithmic decision-making (ADM) systems can be directly linked to crucial state assistance, such as welfare benefits. Prominent examples such as an algorithm of the Public Employment Service Austria, that predicted below-average placement chances for women, underline the high risks of systematic gender discrimination.

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