Ep 06 The Board Wants AI Accountability, but most CDOs Aren't Ready to Give It

Board-level scrutiny of AI is no longer theoretical. Audit committees and risk committees at major enterprises are now asking pointed, specific questions about AI risk exposure, model accountability, and regulatory readiness — and getting vague answers from data and technology leaders who have not built the infrastructure to respond with precision. Richard Muirhead examines what board-ready AI accountability looks like in practice, and the four specific artefacts that separate CDOs who can answer the question from those who get found out by it.In this episode:· How two major US financial institutions received identical AI risk questions from their audit committees in 2024 — and why one CDO lost authority over AI governance as a direct consequence of being unable to answer them· Why a leading US health insurer's Chief Data and Analytics Officer could not confirm, in the boardroom, whether prior authorisation AI systems had a documented human review pathway — and what the three-week investigation that followed revealed· How a FTSE 100 retailer spent ninety days building a board AI accountability dashboard they should have had in place before a regulatory inquiry arrived· The four board-ready deliverables every CDO needs: AI System Inventory with Risk Classification, Model Accountability Matrix, Regulatory Exposure Map, and Board AI Monitoring CadenceThe complete templates for all four deliverables are available for purchase at https://gumroad.com/products/lnffqo