Foundations of AI Governance
What AI is and why it needs governance, responsible-AI principles, governance roles and stakeholders, and policies across the AI life cycle. Includes the PRIDE-GOV memory aid.
Start learning →How Laws, Standards & Frameworks Apply to AI
Existing privacy, IP, nondiscrimination, consumer-protection and product-liability laws applied to AI; the EU AI Act in depth; and the OECD, NIST AI RMF and ISO 42001 standards.
Start learning →Governing AI Development
Governing the design and build of AI systems, data collection, training and testing, and the release, monitoring and maintenance of AI once deployed. Includes the AI development life cycle, exam traps and knowledge checks.
Start learning →Governing AI Deployment & Use
Evaluating the decision to deploy, assessing the system and its vendor terms, and governing deployment and use: monitoring, incidents, post-market duties, secondary-use control and deactivation. Includes the deployment lifecycle, exam traps and knowledge checks.
Start learning →