Ensuring Accountability in AI Development

This chapter explores the vital interplay between internal and external auditing processes in AI labs, addressing transparency and accountability challenges. It discusses strategies for safeguarding AI systems against insider manipulations, emphasizing the importance of rigorous security practices and model integrity. The conversation also covers the implications of open-source AI development and the demand for transparency to foster trust and ethical standards in the technology.