This chapter explores the nuanced challenges of red teaming AI models, focusing on subtle failures that may arise in real-world applications. It emphasizes the necessity of human oversight and intervention to address complexities in model safety, especially regarding dual-use scenarios in sensitive fields. The discussion highlights advancements in AI capabilities while noting the need for tailored regulations to ensure safe and beneficial deployment.

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