Navigating AI Safety Challenges

This chapter delves into the complexities of reinforcement learning from human feedback (RLHF) in ensuring AI safety, emphasizing the limitations and potential alternatives for better alignment with human values. It highlights the transition towards socio-technical AI safety research and the importance of integrating societal factors to manage risks effectively. The discussion underscores the necessity for robust evaluations and strong institutions to adapt to the complexities of AI integration in society.