Building an AI Governance Framework for Business
This episode explains how an AI governance framework helps business leaders approve and monitor artificial intelligence with clear ownership. It covers AI inventories, risk classification, responsible AI policy, data protection, human oversight, provider reviews, testing, incident handling, and records.
You will hear how to distinguish a low-risk employee assistant from a system that affects customers, employment, regulated information, or essential operations. The discussion also explains why each AI use needs a business owner, technical owner, defined approval status, and a review schedule based on its possible effect.
Use the episode to begin a practical governance conversation across leadership, operations, security, privacy, legal, and technology teams. It will help you identify the questions each owner must answer before approval. Then read the full AI governance framework guide for the implementation roadmap, six common questions, and steps for creating accountable AI use.
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