AI Alignment: Challenges and Innovations

This chapter examines the intricate dynamics of AI alignment, focusing on self-other overlap fine-tuning to reduce deceptive behaviors in AI models. It discusses the implications of AI capabilities on human collaboration and emphasizes the necessity for proactive measures to address safety and alignment risks. The chapter also explores auditing processes that reveal biases and the resilience of AI models to modifications, highlighting the ongoing challenges in ensuring effective AI development.