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Duration 7 hours
Course Outline
Understanding the EU AI Act in a Business Context
- The regulatory purpose and scope of the Act.
- Key obligations that impact leadership teams.
- Strategic risks and opportunities for organisations.
Risk Categories and Organisational Responsibilities
- Prohibited practices and their implications for oversight.
- High-risk systems and the required organisational controls.
- Requirements specific to limited-risk and minimal-risk systems.
Governance and Accountability Structures
- Designing clear ownership and accountability lines.
- Fostering cross-functional collaboration between technical and compliance teams.
- Developing decision-making frameworks for AI deployment.
Policy Development 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 Risk
- Identifying, assessing, and prioritising AI risks.
- Implementing operational controls and escalation procedures.
- Integrating AI risk management into existing business processes.
Vendor and Third-Party Management
- Evaluating supplier compliance claims effectively.
- Defining contractual requirements for AI tools and platforms.
- Monitoring external systems utilised within the organisation.
Ethical, Social, and Organisational Considerations
- The responsibilities associated with human oversight.
- Maintaining transparency and communication with internal and external stakeholders.
- Aligning organisational values with responsible AI practices.
Preparing for Compliance Assessments
- Types of evidence expected from leadership teams.
- Reporting lines for governance and audit processes.
- Strategies for continuous improvement and long-term compliance planning.
Requirements
- A solid understanding of organisational governance structures.
- Experience in strategic decision-making related to technology initiatives.
- Familiarity with core risk management concepts.
Target Audience
- Executive leadership teams.
- Department and programme managers.
- Key decision-makers overseeing AI-related projects.