Understanding how laws, standards and frameworks apply to AI

Applying privacy principles and controller obligations to AI systems: lawful basis, purpose limitation, minimisation, DPIAs, data-subject rights, automated decision-making and special-category data.

How intellectual-property, non-discrimination, consumer-protection and product-liability law apply to AI systems and their training data.

Risk classification and tiered requirements under AI-specific laws, anchored on the EU AI Act: prohibited and high-risk systems, provider and deployer duties, general-purpose AI models, enforcement and penalties — with awareness of other jurisdictions.

The OECD AI Principles, the NIST AI Risk Management Framework and Playbook, and the core ISO/IEC standards for AI terminology and management systems.