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Course Outline
The EU AI Act: Framework and Regulatory Foundations
- Objectives, scope, and principles
- Definitions and classification criteria
- Obligations across different stakeholders
Risk Categorisation and Compliance Requirements
- Prohibited AI systems and controls to prevent their use
- High-risk systems and mandatory documentation
- Requirements for limited-risk and minimal-risk systems
Establishing AI Governance and Internal Policies
- Drafting internal governance frameworks
- Designing oversight structures and reporting lines
- Document control and policy lifecycle management
Technical and Organisational Controls
- Risk management systems and continuous evaluation
- Human oversight mechanisms
- Data governance, robustness, and cybersecurity controls
Compliance Documentation and Record-Keeping
- Technical documentation for high-risk systems
- Log retention and traceability obligations
- Maintaining conformity assessment materials
Monitoring, Auditing, and Reporting
- Internal audit procedures for AI oversight
- Reporting obligations to authorities and stakeholders
- Corrective actions and incident response requirements
Third-Party, Vendor, and Supply-Chain Compliance
- Evaluating vendor-provided AI tools and claims
- Contractual obligations and compliance clauses
- Monitoring and reassessment of external AI services
Operationalising Continuous Compliance
- Building a long-term compliance roadmap
- Cross-functional collaboration with IT, legal, and management
- Maintaining readiness for regulatory updates
Summary and Next Steps
Requirements
- An understanding of regulatory or compliance processes
- Experience with organisational risk management
- Familiarity with documentation and audit workflows
Audience
- Governance and risk officers
- Compliance and legal professionals
- Internal audit and quality assurance teams
14 Hours
