The discussion delves into the complexities of explainability and transparency in AI, highlighting how legislation influences these concepts. Rumman emphasizes the importance of understanding over mere explanation, drawing parallels to teaching and the challenges of communicating complex ideas to non-experts. The conversation also critiques the assumption that transparency alone guarantees comprehension and actionability.
