Graham discusses the dual nature of explainability in AI, highlighting the distinction between viewing neural networks as black boxes versus white boxes. He emphasizes the importance of interpretability in various applications, such as healthcare and finance, and suggests that the level of explainability needed depends on the specific context and associated risks.
