AI Bias and Fairness

Learn how human-centric approach to designing better frameworks and training to fully utilize the potential of explainable tools.

Krishna Gade, Founder & CEO of Fiddler, discusses how companies can address potential bias and other challenges in their AI.

Learn about FairCanary, a novel approach to generating feature-level bias explanations that is an order of magnitude faster than previous methods.

Léa Genuit, a senior machine learning engineer at Fiddler AI, presents at the ML Fairness Summit on intersectional group fairness using worst-case comparisons.

Learn why fairness metrics need to incorporate intersectionality, including a simple method to expand the definitions of existing group fairness.