AI TRAINING
AI Governance for Boards and Committees
Board members gain the frameworks and questions to exercise credible AI oversight without becoming technologists.
What it covers
This programme equips board members, non-executive directors, and risk committee members with the governance literacy needed to oversee AI responsibly. Participants learn to evaluate management AI proposals, set risk appetite statements, interpret AI-related KPIs, and challenge assumptions without requiring deep technical knowledge. Sessions combine case studies from regulated industries, structured debate exercises, and ready-to-use board reporting templates. The format is typically delivered as a half-day or full-day intensive workshop with optional follow-on advisory sessions.
What you'll be able to do
- Draft or critique an organisational AI risk appetite statement aligned with regulatory expectations
- Formulate a structured set of challenge questions to put to management on any AI investment proposal
- Identify red flags in AI board reports including missing model performance metrics, lack of bias audits, or absent escalation paths
- Map the board's oversight responsibilities against EU AI Act obligations and relevant sector regulations
- Design a recurring AI governance cadence — agenda items, reporting frequency, and committee ownership
Topics covered
- AI oversight responsibilities and fiduciary duty in the age of AI
- Setting and communicating an organisational AI risk appetite
- Key questions boards should ask management about AI initiatives
- Reading and challenging AI-related board reports and dashboards
- EU AI Act and regulatory landscape implications for boards
- Algorithmic accountability, bias, and reputational risk
- Incident response and escalation frameworks for AI failures
- Structuring board-level AI committees and governance cadences
Delivery
Typically delivered in-person at the client's boardroom or offsite venue, with a half-day (6h) or full-day (7-8h) format depending on depth required. A small group of 8-15 is optimal to allow honest dialogue. Materials include a board-ready AI governance playbook, risk appetite statement templates, and a question bank PDF. Hands-on ratio is approximately 40% facilitated discussion and case study, 30% worked examples, and 30% presentation. Remote delivery via video conference is possible but reduces the quality of structured debate exercises. Follow-on advisory retainer options are available from most providers.
What makes it work
- Linking AI governance agenda items to existing audit and risk committee cycles rather than creating a standalone committee from scratch
- Using real examples from the organisation's own AI pipeline as case study material during the workshop
- Assigning a named board-level AI sponsor accountable for quarterly reporting to the full board
- Following up with a 90-day action plan reviewed by legal and risk functions to embed commitments made in the room
Common mistakes
- Delegating all AI oversight to the CTO or CDO without establishing board-level accountability structures
- Conflating AI literacy training for executives with governance training — they serve different purposes and audiences
- Adopting a risk appetite statement that is too vague ('we embrace responsible AI') to be operationally enforceable
- Waiting for a regulatory inspection or AI incident before formalising board-level oversight processes
When NOT to take this
This training is not the right fit if the organisation has fewer than 20 employees and no formal board structure — in that case, a founder-level AI strategy session is more appropriate than a governance framework workshop.
Providers to consider
Sources
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