Navigating AI Interpretability and Deception

This chapter explores the complexities of understanding AI systems, focusing on the opaque nature of their cognitive processes and the challenges in predicting harmful behaviors. It addresses the critical need for improved interpretability in AI models to enhance safety and decision-making, while also discussing ethical concerns surrounding AI sentience. Through a historical overview and advancements in interpretability techniques, the chapter highlights ongoing efforts to comprehend AI behavior and mitigate associated risks.