AI Governance for Boards and Executives
Equip boards and executives to oversee AI with confidence: setting accountability and risk appetite, making disciplined investment decisions, demanding useful assurance and escalation, and building the committees, delegations and culture that make AI governance work.
Upcoming course. LMS delivery and enrolment are not open. Release dates will be confirmed.
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Planned learning outcomes
- Explain board accountability for AI, including directors' duties and the AICD and HTI eight elements of AI governance
- Draft an AI risk appetite statement with tolerances and key risk indicators
- Apply disciplined, stage-gated criteria to AI investment decisions
- Allocate management responsibilities for AI across the three lines
- Specify assurance reporting, performance indicators and incident escalation thresholds for the board
- Design governance committees, delegations and cultural measures for AI
- Prepare a board-level AI governance briefing and risk dashboard