Board AI governance fails quietly. Programmes get approved, dashboards turn green, and months later no one at the table can say who owns the decisions the system now makes. Much of what the institution actually runs never reaches the dashboard: shadow AI, the unsanctioned use of consumer tools for company work, keeps the reasoning behind real decisions outside anything a board can inspect. By the time a paper reaches the pack its framing has been shaped by systems nobody voted on, which makes the live question not whether AI should hold a board seat but how much influence it already exercises without one. Dr Kate Barker’s AI governance keynotes and board sessions are built for exactly that moment: whether a board is asking the right questions, receiving the right information, and governing at the right altitude without slipping into the operational.
Her work is anchored in the Board AI Index, the five-level diagnostic of institutional AI readiness, human judgement and oversight that runs from Reactive through Alert, Architecting and Owned to Integrated. As an AI expert for boards she advises chairs, committees and sovereign institutions directly, and she is the world’s first Chief Futurist with a TIME100 AI Impact Award. The sessions are delivered as mainstage keynotes, closed-door board briefings or full board retreats. The same questions arrive at the multilateral level, and she has taken them there: the AI for Good Global Summit in Geneva, convened by the ITU and the United Nations.