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Course Outline
The EU AI Act: Framework and Regulatory Foundations
- Core objectives, scope, and foundational principles
- Key definitions and classification criteria
- Obligations applicable to various stakeholders
Risk Categorisation and Compliance Requirements
- Prohibited AI systems and controls to prevent their usage
- High-risk systems and associated mandatory documentation
- Requirements for limited-risk and minimal-risk systems
Establishing AI Governance and Internal Policies
- Drafting robust internal governance frameworks
- Designing effective oversight structures and reporting lines
- Managing document control and the policy lifecycle
Technical and Organisational Controls
- Risk management systems and continuous evaluation processes
- Implementing 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 materials for conformity assessments
Monitoring, Auditing, and Reporting
- Internal audit procedures for effective AI oversight
- Reporting obligations to authorities and stakeholders
- Corrective actions and incident response requirements
Third-Party, Vendor, and Supply-Chain Compliance
- Evaluating AI tools and claims provided by vendors
- Defining contractual obligations and compliance clauses
- Monitoring and reassessing external AI services
Operationalising Continuous Compliance
- Building a sustainable long-term compliance roadmap
- Fostering cross-functional collaboration with IT, legal, and management
- Maintaining readiness for evolving regulatory updates
Summary and Next Steps
Requirements
- A solid grasp of regulatory or compliance processes
- Practical experience in organisational risk management
- Familiarity with documentation standards and audit workflows
Target Audience
- Governance and risk officers
- Compliance and legal professionals
- Internal audit and quality assurance teams
14 Hours