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Duration 7 hours
Course Outline
Grasping the EU AI Act in a Business Environment
- Regulatory objectives and scope
- Core obligations pertinent to leadership teams
- Strategic risks and opportunities for organizations
Risk Classifications and Organizational Duties
- Prohibited practices and their impact on oversight
- High-risk systems and the necessary organizational controls
- Requirements governing limited-risk and minimal-risk systems
Governance and Accountability Frameworks
- Designing distinct ownership and accountability lines
- Fostering cross-functional collaboration between technical and compliance teams
- Establishing decision-making frameworks for AI deployment
Policy Formulation and Internal Documentation
- Drafting internal AI governance policies
- Documenting use cases, associated risks, and mitigation strategies
- Ensuring traceability and readiness for audits
Managing AI-Related Risks
- Identifying, assessing, and prioritizing AI risks
- Implementing operational controls and escalation procedures
- Integrating AI risk management into existing workflows
Vendor and Third-Party Oversight
- Assessing supplier compliance claims
- Defining contractual requirements for AI tools and platforms
- Monitoring external systems utilized within the organization
Ethical, Social, and Organizational Dimensions
- Responsibilities concerning human oversight
- Transparency and communication with both internal and external stakeholders
- Aligning organizational values with responsible AI practices
Preparing for Compliance Evaluations
- Evidence expected from leadership teams
- Reporting structures for governance and audit processes
- Continuous improvement and long-term compliance planning
Requirements
- A solid grasp of organizational governance frameworks
- Hands-on experience in strategic decision-making for technology projects
- Familiarity with risk management principles
Target Audience
- Senior leadership
- Department and program managers
- Key decision-makers overseeing AI initiatives