Lilly Tech Systems
AI Regulation
Navigate the rapidly evolving landscape of AI regulation worldwide. Understand the EU AI Act, US policy frameworks, risk categories, prohibited practices, transparency requirements, GDPR intersections, and China's AI regulations.
Your Learning Path
Follow these lessons in order, or jump to any topic that interests you.
1. Introduction
Why AI regulation matters, the current global landscape, key terminology, and the tension between innovation and safety.
2. EU AI Act
Risk categories, prohibited practices, high-risk requirements, transparency obligations, and GDPR intersection.
3. US Policy
Executive orders, NIST AI RMF, sector-specific regulations, state-level laws, and the evolving federal approach.
4. Global Landscape
China's AI regulations, UK's pro-innovation approach, Canada's AIDA, Brazil, Japan, and international coordination efforts.
5. Compliance
Practical compliance frameworks, risk assessments, documentation requirements, auditing, and conformity assessments.
6. Best Practices
Building regulation-ready AI systems, future-proofing compliance, governance structures, and staying ahead of policy changes.
What You'll Learn
By the end of this course, you'll be able to:
Understand Global Regulations
Navigate the EU AI Act, US executive orders, and international regulatory frameworks with confidence.
Classify AI Risk
Categorize AI systems by risk level and determine which regulations apply to your specific use case.
Achieve Compliance
Implement practical compliance frameworks including documentation, auditing, and conformity assessments.
Future-Proof Systems
Design AI governance structures that adapt to evolving regulations across multiple jurisdictions.