This ebook explains why legacy risk frameworks are ill-equipped to manage AI systems that are probabilistic, adaptive, and continuously evolving. It argues that AI collapses traditional boundaries between data, security, compliance, and product ownership, placing new responsibility on Chief Data Officers. The guide details AI-specific risks such as bias drift, hallucinations, data leakage, and emergent behavior that conventional controls fail to address. It proposes a shift toward telemetry-driven, continuous risk monitoring and shared governance models. The ebook provides a roadmap for CDOs to lead trustworthy, scalable AI programs.

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