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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
- Responsibilities across various stakeholder groups
Risk Classification and Compliance Mandates
- Prohibited AI systems and preventive control measures
- High-risk systems and mandatory documentation standards
- Obligations for limited-risk and minimal-risk systems
Building AI Governance and Internal Policies
- Developing internal governance frameworks
- Designing oversight structures and reporting hierarchies
- Managing document control and policy lifecycles
Technical and Organisational Safeguards
- Risk management systems and ongoing assessment practices
- Implementation of human oversight mechanisms
- Data governance, system robustness, and cybersecurity protocols
Compliance Documentation and Record Retention
- Technical documentation requirements for high-risk systems
- Log retention and traceability duties
- Maintenance of conformity assessment records
Monitoring, Auditing, and Reporting Mechanisms
- Internal audit procedures for AI supervision
- Reporting duties to regulators and stakeholders
- Corrective actions and incident response protocols
Third-Party, Vendor, and Supply-Chain Compliance
- Evaluating AI tools and claims provided by vendors
- Contractual duties and compliance clauses
- Ongoing monitoring and reassessment of external AI services
Implementing Continuous Compliance
- Creating a long-term compliance strategy
- Fostering cross-functional collaboration with IT, legal, and management
- Staying prepared for regulatory changes and updates
Summary and Next Steps
Requirements
- A solid grasp of regulatory and compliance procedures
- Practical experience in organisational risk management
- Proficiency in documentation standards and audit workflows
Target Audience
- Officers overseeing governance and risk
- Specialists in compliance and legal affairs
- Teams involved in internal auditing and quality assurance
