Regulatory Landscape and Emerging Policies

Course Description

A focused, non-technical briefing on the fast-evolving AI regulatory landscape and how it affects real-world deployments in organisations. You’ll get a clear, side-by-side view of major frameworks—including the EU’s approach, the US NIST AI Risk Management Framework, China’s governance directives, and soft-law/industry self-regulation—so you can reduce compliance risk, earn stakeholder trust, and move from uncertainty to action.

Who Should Take This Course

Ideal for managers, product owners, compliance and risk leads, data and engineering leaders, legal/privacy and security teams, HR and procurement policy owners, and consultants advising enterprise clients. Suits busy professionals who need practical clarity without legalese.

Prerequisites

No prior experience needed.

What You Will Learn

• Differentiate the aims and mechanics of the EU’s comprehensive regime, the NIST AI RMF, and China’s governance directives.
• Identify common obligations (risk classification, documentation, transparency, human oversight) and where they apply in your AI lifecycle.
• Translate soft-law and industry self-regulation into pragmatic internal policies, standards, and review gates.
• Create a lightweight controls checklist and RACI for responsible AI governance across product, legal, and security.
• Draft an action plan to align current initiatives with emerging policies and audit expectations.