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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 Demands
- Identification of prohibited AI systems and preventive controls
- High-risk systems and their mandatory documentation needs
- Standards for limited-risk and minimal-risk systems
Establishing AI Governance and Internal Policies
- Creating internal governance frameworks
- Structuring oversight mechanisms and reporting lines
- Managing document control and the policy lifecycle
Technical and Organisational Controls
- Implementing risk management systems and ongoing assessments
- Mechanisms for human oversight
- Data governance, system robustness, and cybersecurity measures
Compliance Documentation and Record-Keeping
- Technical records required for high-risk systems
- Log retention and traceability duties
- Maintaining materials for conformity assessment
Monitoring, Auditing, and Reporting
- Internal audit procedures for AI supervision
- Duties to report to authorities and stakeholders
- Requirements for corrective actions and incident response
Third-Party, Vendor, and Supply-Chain Compliance
- Reviewing vendor-supplied AI tools and their claims
- Contractual duties and compliance clauses
- Oversight and re-evaluation of external AI services
Operationalising Continuous Compliance
- Formulating a long-term compliance strategy
- Fostering cross-functional collaboration with IT, legal, and management
- Staying prepared for evolving regulatory updates
Summary and Next Steps
Requirements
- A solid grasp of regulatory and compliance procedures.
- Proven experience in organizational risk management.
- Awareness of documentation standards and audit processes.
Target Audience
- Officers responsible for governance and risk.
- Professionals in compliance and legal departments.
- Teams focused on internal audit and quality assurance.
