Today, Michaela Benk and Andrea Ferrario (Mobiliar Lab for Analytics at ETH) had Michele Loi (University of Zurich) as a guest speaker in the seminar “Machine Learning Applications and Society: Interpretability, Explanations and Trust”. Michele shared his point of view on algorithmic fairness and the explainability of AI. He discussed the importance of the reasons behind the fairness-impacting algorithmic inputs and their appropriate embedding in the procedures in which decisions are taken.
