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Course Outline
Understanding the EU AI Act: Framework and Regulatory Foundations
- Objectives, scope, and guiding principles.
- Key definitions and classification criteria.
- Obligations assigned to various stakeholders.
Risk Categorization and Compliance Requirements
- Prohibited AI systems and necessary controls to prevent their deployment.
- High-risk systems and mandatory documentation requirements.
- 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 processes.
- 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 their 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
- A foundational understanding of regulatory or compliance processes.
- Practical experience in organizational risk management.
- Familiarity with documentation and audit workflows.
Target Audience
- Governance and risk officers.
- Compliance and legal professionals.
- Internal audit and quality assurance teams.
14 Hours
