ASSET Seminar: Explainable AI via Semantic Information Pursuit (René Vidal, Johns Hopkins University)
Levine 307 3330 Walnut Street, Philadelphia, PA, United StatesPresentation Abstract: There is a significant interest in developing ML algorithms whose final predictions can be explained in domain-specific terms that are understandable to a human. Providing such an “explanation” can be crucial for the adoption of ML algorithms in risk-sensitive domains such as healthcare. This has motivated a number of approaches that seek to […]