Course Outline

The EU AI Act: Framework and Regulatory Foundations

  • Objectives, scope, and principles
  • Definitions and classification criteria
  • Obligations across different stakeholders

Risk Categorisation and Compliance Requirements

  • Prohibited AI systems and controls to prevent their use
  • High-risk systems and 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 claims
  • Contractual obligations and compliance clauses
  • Monitoring and reassessment of external AI services

Operationalising Continuous Compliance

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

Summary and Next Steps

Requirements

  • An understanding of regulatory or compliance processes
  • Experience with organisational risk management
  • Familiarity with documentation and audit workflows

Audience

  • Governance and risk officers
  • Compliance and legal professionals
  • Internal audit and quality assurance teams
 14 Hours

Delivery Options

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