The Limits of Explainability for Reducing Algorithmic Discrimination
Date: April 5, 2024 (Friday) Speaker: Dr Kate Vredenburgh, London School of Economics Chair: Dr Frank Hong, The University of Hong Kong Abstract: Proponents of algorithmic decision-making have argued that the use of algorithms can reduce discrimination, against the baseline of human decision-making. One reason is the greater explainability of the models, or the ability to …
The Limits of Explainability for Reducing Algorithmic Discrimination Read More »