Unraveling AI Interpretability

This chapter examines the intricate nature of AI interpretability, focusing on the reasoning processes behind models' decisions. It advocates for transparency from AI developers like OpenAI, emphasizing the importance of understanding AI's thought chains for user trust and model assessment. The discussion also parallels human cognitive processes with AI's language processing, exploring how dialogue and self-doubt contribute to clearer reasoning in both humans and machines.