How to Build AI Governance in 5 Practical Steps Real Usecase

AI governance is no longer optional. In this podcast, we break down a practical 5-step AI governance framework for managing high-risk AI systems from intake and inventory to risk assessment, documentation, vendor review, and continuous monitoring.Using a fictional HR hiring model at a multinational financial institution, this session explains how organizations can build a real-world AI governance process that addresses bias, compliance, privacy, vendor risk, model drift, and regulatory expectations. We also explore how governance teams can align AI systems with business objectives, legal obligations, and frameworks such as the EU AI Act, GDPR, and the NIST AI Risk Management Framework.What you’ll learn in this video:How to create an AI governance intake processWhy AI inventory and system classification matterHow to assess data lineage, bias, and privacy risksWhat to check in AI vendor and third-party risk assessmentsHow to perform AI risk assessments for high-risk systemsWhy model cards, documentation, and audit readiness are essentialHow to implement continuous monitoring for drift, fairness, and performanceKey governance challenges when deploying AI in regulated industriesThis episode is especially useful for:AI governance professionalsrisk and compliance teamsCISOs and security leadersprivacy professionalsdata governance teamsinternal auditorsorganizations deploying high-risk AI systemsWhether you are building an AI governance framework, preparing for AI compliance, or trying to manage AI risk in enterprise environments, this conversation offers a practical roadmap you can apply.Other Videos on AI Governacehttps://www.youtube.com/watch?v=mDuqzICOZZI&t=11shttps://www.youtube.com/watch?v=PT7xmnn8FFIhttps://www.youtube.com/watch?v=OhxAdrfHVs8https://www.youtube.com/watch?v=i721IZkpG8I&t=423shttps://youtu.be/skJNr6C6O18?si=itgrpjoY9viovfL6https://www.youtube.com/watch?v=dQUML9vnlY4&t=3180shttps://www.youtube.com/watch?v=LgFBi5XD-Ow&t=5668sSubscribe for more content on AI governance, cybersecurity, privacy, compliance, risk management, and emerging technology frameworks.#AIGovernance #AIRiskManagement #EUAIAct #GDPR #AICompliance