AI Performance and Social Sensitivity

This chapter examines the impact of framing on AI model performance, particularly in relation to sensitive topics like race and gender. It critiques the evolution of AI systems, highlighting a shift towards more cautious responses to controversial issues, and considers the implications of reinforcement learning and societal narratives on AI development. The discussion also reflects on the concept of agency in AI and ethical considerations surrounding its capabilities and decision-making autonomy.