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Navigating AI Testing and Governance
This chapter explores the complexities of testing and governance in generative AI systems, emphasizing the need for structured evaluation metrics and risk management practices. It discusses the integration of automated testing with red teaming to enhance safety while highlighting the importance of a strong governance framework within organizations. Additionally, the chapter addresses the unpredictable nature of AI advancements and the challenges they present, advocating for continuous improvement and thorough validation processes.