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Duration 14 hours
Course Outline
The EU AI Act: Structural and Regulatory Basis
- Core goals, applicability scope, and guiding principles.
- Key definitions and classification standards.
- Duties assigned to various stakeholders.
Risk Classification and Compliance Standards
- Banned AI systems and preventive measures.
- High-risk systems and required documentation.
- Standards for limited-risk and minimal-risk categories.
Implementing AI Governance and Internal Policies
- Formulating internal governance frameworks.
- Creating oversight architectures and reporting hierarchies.
- Managing document control and policy lifecycles.
Technical and Organisational Safeguards
- Risk management systems and ongoing evaluation.
- Mechanisms for human oversight.
- Controls for data governance, robustness, and cybersecurity.
Compliance Records and Documentation
- Technical documentation for high-risk applications.
- Obligations for log retention and traceability.
- Preserving conformity assessment records.
Monitoring, Auditing, and Reporting Protocols
- Internal audit processes for AI supervision.
- Reporting duties to regulators and stakeholders.
- Requirements for corrective actions and incident response.
Third-Party, Vendor, and Supply Chain Adherence
- Assessing vendor-supplied AI tools and their claims.
- Contractual duties and compliance provisions.
- Ongoing monitoring and re-evaluation of external AI services.
Implementing Sustained Compliance
- Constructing a long-term compliance strategy.
- Fostering cross-departmental cooperation with IT, legal, and leadership.
- Staying prepared for evolving regulatory changes.
Recap and Future Directions
Requirements
- A foundational grasp of regulatory or compliance procedures.
- Practical experience in managing organisational risks.
- Knowledge of standard documentation and audit processes.
Target Participants
- Governance and Risk Officers.
- Compliance and Legal Specialists.
- Internal Audit and Quality Assurance Personnel.
