AI Governance Principles | Free Training
September 23, 2025
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 organization.
A few things we cover in this course:
- why governance matters
- the global AI landscape
- the guiding principles of AI governance, both theoretically and in practice
- OECD principles
- the EU AI Act
- ISO/IEC 42001
- NIST AI RMF
Share this article
AI is outgrowing traditional GRC frameworks. How can you keep up? Safeshield discusses the current industry and next steps for AI GRC.
Is AI GRC certification worth it? The answer depends on where you are, what you want, and whether the certification is part of a bigger career plan.
Is it worth paying for a certification in AI GRC? The Safeshield team weighs in on what you can get out of free vs paid training, and which is best for you right now.
