1. Why Fair Automated Hiring Systems Breach EU Non-Discrimination Law
- Author
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Poe, Robert Lee
- Subjects
Computer Science - Computers and Society - Abstract
Employment selection processes that use automated hiring systems based on machine learning are becoming increasingly commonplace. Meanwhile, concerns about algorithmic direct and indirect discrimination that result from such systems are front-and-center, and the technical solutions provided by the research community often systematically deviate from the principle of equal treatment to combat disparate or adverse impacts on groups based on protected attributes. Those technical solutions are now being used in commercially available automated hiring systems, potentially engaging in real-world discrimination. Algorithmic fairness and algorithmic non-discrimination are not the same. This article examines a conflict between the two: whether such hiring systems are compliant with EU non-discrimination law., Comment: This article was written for, accepted by, and presented at the First Workshop on ML, Law, and Society, under the "Non-Functional Tradeoffs, Law and Society" call for papers at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - Workshop and Tutorial Track
- Published
- 2023