Generative AI offers massive value but carries significant risk. To implement it safely and effectively, organizations should assess inbound risks, map risk severity across use cases, and apply technical and procedural mitigations. Key risks include data privacy, IP infringement, security threats, and explainability failures. Governance must evolve to support cross-functional oversight, responsible AI policies, and role-based accountability. Embedding responsible AI into design, deployment, and training ensures sustainable scaling. With the right structures, organizations can harness gen AI’s power while managing risk responsibly.

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