AI Governance Checklist
A Checklist that outlines key steps for a US organization to consider when implementing an artificial intelligence (AI) governance framework. This Checklist addresses risk management in the design, development, use, and deployment of AI, including generative AI (genAI) and agentic AI. It discusses securing top-level support, establishing steering and implementation committees, and analyzing the broader context of AI, including ethical principles, industry benchmarks, and applicable legal frameworks. It explores launching a pilot program, developing AI guardrails, and creating an AI risk appetite statement. Key steps in this Checklist include creating governance artifacts, such as vendor management resources and policies, classifying high-risk use cases, and establishing a risk assessment process. Finally, this Checklist covers maintaining and evolving AI governance through gap analysis and by updating incident response plans and related procedures.
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