3 papers
cs.LG2024
Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning
Hilde Weerts, Lambèr Royakkers, Mykola Pechenizkiy
Fairness-aware machine learning (fair-ml) techniques are algorithmic interventions designed to ensure that individuals who are affected by the predictions of a machine learning mod…
cs.AI2024
Unlawful Proxy Discrimination: A Framework for Challenging Inherently Discriminatory Algorithms
Hilde Weerts, Aislinn Kelly-Lyth, Reuben Binns +1
Emerging scholarship suggests that the EU legal concept of direct discrimination - where a person is given different treatment on grounds of a protected characteristic - may apply…
cs.AI2024
The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action
Hilde Weerts, Raphaële Xenidis, Fabien Tarissan +2
Various metrics and interventions have been developed to identify and mitigate unfair outputs of machine learning systems. While individuals and organizations have an obligation to…