Interpreting Machine Explanations

Jayaraman discusses the challenges of building interpretability techniques in healthcare and how the way humans interact with machine explanations is crucial for understanding models. He emphasizes the need for new formalisms and application-specific approaches to ensure the usefulness of interpretability tools.