AI Governance
What Boards Need to Understand About AI
Boards do not need to understand transformers. They need to understand exposure, investment, and the questions to put to management.
Boards are being asked to oversee something many members do not feel equipped to evaluate. The instinct is either to defer entirely to management or to demand technical fluency no director needs. Both are wrong. A board's job with AI is the same as its job with any strategic capability: understand the exposure, govern the investment, and ask management the right questions.
The questions a board should be asking
- Where does AI create advantage or risk for us specifically?
- Is our AI investment a governed portfolio or a scatter of pilots?
- How are consequential AI-influenced decisions overseen?
- What is our exposure: regulatory, reputational, and operational?
- Do we have the leadership and operating model to execute?
A board does not need to understand the model. It needs to understand the exposure and the questions to put to management.
AI governance is not a compliance exercise bolted on at the end. It is a matter of decision rights, accountability, and oversight designed in from the start. Boards that grasp this shift from anxious spectators to effective stewards, without ever needing to read a research paper.