This step establishes guardrails so AI can scale without creating unacceptable risk. It covers the practical realities of privacy, fairness, security, accountability, and evolving regulation, and how to translate principles into controls that teams can actually follow.

By the end of this step, you will understand the governance building blocks for AI, how requirements like the EU AI Act shape your approach, and how to implement compliance in a way that enables delivery instead of blocking it late in the process.

Introduction

Step 1: AI Governance Overview — Regulations, Fairness, Privacy, Explainability, Accountability, Security

Step 2: EU AI Act — Implement Guardrails with a Data + AI Excellence Foundation

Step 3: Security + Governance — Why GenAI Raises the Bar

Step 4: AI Regulations & Governance — From Principles to Practical Compliance

Bonus: Readiness for AI Governance — Capabilities, Provenance, Feedback Loops