AI Governance, Risk Management and Compliance - AI Governance Principles

Start your AI GRC training today: https://shop.safeshield.cloud/collections/artificial-intelligence-management-systems-aims/?utm_source=youtube&utm_medium=video&utm_campaign=ai_governance_principles Understand the core principles that define responsible AI governance and learn how to build systems that are transparent, accountable, and fair. In this course, we explore the guiding principles of AI governance: accountability, transparency, fairness, and privacy. We also show how each one supports trust, compliance, and ethical decision-making across the AI lifecycle. You’ll learn how these principles connect to global frameworks such as ISO/IEC 42001, the EU AI Act, and the NIST AI RMF, and how they translate into practical policies, controls, and oversight within your organisation. Subscribe for more free training on AI governance and AI GRC best practices. @SafeshieldTraining 0:00 Intro 2:09 Why Governance Matters ​3:34 The Global AI Landscape 5:40 Accountability Overview 8:21 Transparency & Explainability Overview 10:53 Fairness & Non-Discrimination Overview 13:08 Privacy & Data Protection Overview 15:27 Safety & Security Overview 17:18 Human Oversight Overview 19:13 Sustainability & Societal Benefit Overview 21:25 Continous Monitoring & Improvement Overview 23:06 Accountability in Practice 25:33 Transparency in Practice 27:14 Fairness in Practice 29:32 Privacy in Practice 31:38 Security in Practice 33:38 Human Oversight in Practice 35:40 Sustainability in Practice 37:36 Monitoring & Improvement in Practice 39:29 OECD Principles 41:18 UNESCO Ethics Recommendation 43:27 EU AI Act 45:39 ISO/IEC 42001 47:47 The NIST AI RMF 50:16 Case Study 52:15 Next Steps