The Global AI Regulatory Landscape: How Privacy and Compliance Teams Can Stay Ahead

AI is transforming sectors from healthcare and finance to employment and public services, and regulators worldwide are moving quickly to keep pace. For privacy, legal, and compliance professionals, understanding new laws and obligations is critical to reducing risk and ensuring responsible adoption. 

This webinar will provide practical insights from the latest DataGuidance AI Report, helping you align AI practices with emerging standards and prepare for future regulatory scrutiny.  

In this session, we’ll cover: 

• Global AI laws and frameworks: Key developments across the EU AI Act, U.S. state-level laws, and Asia-Pacific regulations. 
• Risk-based classifications: How jurisdictions categorize AI systems and obligations for high-risk models. 
• Governance principles: Transparency, accountability, human oversight, and lifecycle risk management. 
• Developer vs. deployer roles: Regulatory expectations for different actors in the AI value chain. 
• Impact assessments and monitoring: Practical steps for risk assessments and post-market oversight. 
• Standards and frameworks: ISO/IEC, OECD, and NIST shaping global compliance practices. 
• Preparing for enforcement: What to do now to stay ahead of regulatory action and avoid penalties.