‘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.