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Duration 14 hours
Course Outline
The EU AI Act: Framework and Regulatory Foundations
- Core objectives, scope, and guiding principles
- Key definitions and classification standards
- Duties assigned to various stakeholders
Risk Classification and Compliance Obligations
- Prohibited AI systems and controls to prevent their utilisation
- High-risk systems and mandatory documentation requirements
- Standards for limited-risk and minimal-risk systems
Establishing AI Governance and Internal Policies
- Formulating internal governance frameworks
- Structuring oversight mechanisms and reporting lines
- Managing document control and the policy lifecycle
Technical and Organisational Controls
- Risk management systems and ongoing evaluation processes
- Mechanisms for human oversight
- Data governance, system robustness, and cybersecurity controls
Compliance Documentation and Record-Keeping
- Technical documentation for high-risk systems
- Obligations regarding log retention and traceability
- Maintaining materials for conformity assessments
Monitoring, Auditing, and Reporting
- Internal audit procedures for AI oversight
- Reporting duties to regulatory bodies and stakeholders
- Requirements for corrective actions and incident response
Third-Party, Vendor, and Supply-Chain Compliance
- Assessing AI tools and claims provided by vendors
- Defining contractual obligations and compliance clauses
- Monitoring and re-evaluating external AI services
Implementing Continuous Compliance
- Creating a long-term compliance roadmap
- Fostering cross-functional collaboration with IT, legal, and management
- Ensuring 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 and audit workflows
Target Audience
- Governance and risk officers
- Compliance and legal professionals
- Internal audit and quality assurance teams
