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 Duration 14 hours

Course Outline

The EU AI Act: Framework and Regulatory Foundations

  • Objectives, scope, and core principles.
  • Definitions and classification criteria.
  • Obligations across various stakeholder groups.

Risk Classification and Compliance Requirements

  • Prohibited AI systems and controls to prevent their usage.
  • High-risk systems and the need for mandatory documentation.
  • Requirements for limited-risk and minimal-risk systems.

Establishing AI Governance and Internal Policies

  • Drafting internal governance frameworks.
  • Designing oversight structures and reporting lines.
  • Document control and policy lifecycle management.

Technical and Organisational Controls

  • Risk management systems and continuous evaluation.
  • 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 conformity assessment materials.

Monitoring, Auditing, and Reporting

  • Internal audit procedures for AI oversight.
  • Reporting obligations to authorities and stakeholders.
  • Corrective actions and incident response requirements.

Third-Party, Vendor, and Supply-Chain Compliance

  • Evaluating vendor-provided AI tools and their claims.
  • Contractual obligations and compliance clauses.
  • Monitoring and reassessing external AI services.

Implementing Continuous Compliance

  • Building a long-term compliance roadmap.
  • Cross-functional collaboration with IT, legal, and management.
  • Staying prepared for regulatory updates.

Summary and Next Steps

Requirements

  • A solid understanding of regulatory or compliance processes.
  • Experience with 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.

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