Artificial intelligence is moving deeper into the machinery of business. It is influencing how organisations identify fraud, assess risk, recruit talent, interact with customers, allocate resources and, increasingly, make decisions. Yet in many boardrooms, oversight has not evolved at the same pace.
This creates what I describe as the AI Trust Gap: the distance between the speed at which organisations are adopting AI and their ability to demonstrate accountability for the decisions and outcomes AI influences. As that distance grows, so does the governance challenge for boards.
The issue is not that directors need to understand every model or approve every AI use case. That would confuse oversight with management. The board’s responsibility is to establish reasonable confidence that consequential uses of AI are visible, appropriately governed and supported by sufficient evidence to explain and defend decisions when challenged.
That requires boards to ask better questions.
First, do we know where AI is influencing consequential decisions? An inventory of AI systems is useful, but it is not enough. What matters to the board is where AI has sufficient influence to affect customers, employees, rights, safety, financial outcomes, regulatory obligations or organisational reputation. A recruitment tool that summarises applications presents a different governance question from one that effectively determines who receives an interview. Boards should therefore seek visibility not simply into where AI exists, but into where it matters.
