Ulrich Aïvodji

Taming the Triangle: On the Interplays Between Fairness, Interpretability, and Privacy in Machine Learning

2025 · Computational Intelligence

ABSTRACT Machine learning techniques are increasingly used for high‐stakes decision‐making, such as college admissions, loan attribution, or recidivism prediction. Thus, it is crucial to ensure that the models learnt can be audited or understood by …