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Duration 7 hours
Course Outline
Understanding the EU AI Act in a Business Context
- The regulatory objectives and scope
- Primary obligations relevant to leadership teams
- Strategic risks and opportunities for the organization
Risk Categories and Organizational Responsibilities
- Prohibited practices and their impact on oversight
- High-risk systems and necessary organizational controls
- Requirements for limited-risk and minimal-risk systems
Governance and Accountability Frameworks
- Establishing clear ownership and accountability lines
- Fostering cross-functional cooperation between technical and compliance teams
- Frameworks for decision-making in AI deployment
Policy Development and Internal Documentation
- Drafting internal AI governance policies
- Documenting use cases, risks, and mitigation strategies
- Maintaining traceability and ensuring audit readiness
Managing AI-Related Risks
- Identifying, evaluating, and prioritizing AI risks
- Implementing operational controls and escalation procedures
- Integrating AI risk management into existing processes
Vendor and Third-Party Management
- Assessing supplier compliance claims
- Defining contractual requirements for AI tools and platforms
- Monitoring external systems utilized within the organization
Ethical, Social, and Organizational Considerations
- Responsibilities regarding human oversight
- Ensuring transparency and effective communication with internal and external stakeholders
- Aligning organizational values with responsible AI practices
Preparing for Compliance Assessments
- Expected evidence from leadership teams
- Reporting lines for governance and audit processes
- Continuous improvement and long-term compliance planning
Requirements
- A solid grasp of organizational governance structures
- Experience in strategic decision-making for technology projects
- Familiarity with risk management principles
Target Audience
- Executive leadership
- Department and program managers
- Decision-makers responsible for AI-related initiatives