What Governors and Board Members Actually Need to Know About AI

I have sat through a lot of board meetings where AI comes up. The conversation usually follows a predictable pattern. Someone mentions that students are using ChatGPT. Someone else asks whether the school has a policy. The head reassures the room that "we are looking into it." The item moves on. Nothing changes.

This is not governance. This is avoidance with minutes.

Governors and board members have a genuine responsibility here, and most do not know what questions to ask. That is not a criticism, AI in education is a fast-moving, technically complex space, and nobody expects a volunteer governor to be an AI expert. But they do need to be an informed questioner, just as they are on safeguarding, finance, or health and safety. This article is designed to give them the knowledge they need to do that effectively.

Why AI Is a Board-Level Issue

AI is not a technology issue. It is a strategic, legal, and educational issue that happens to involve technology. That distinction matters because it determines where AI sits in your governance structure.

If AI is framed as a technology issue, it gets delegated to the IT department or the director of digital learning. The board sees it once a year in a technology update, sandwiched between a report on network infrastructure and a request for new devices. This is inadequate because AI touches curriculum, assessment, data protection, safeguarding, staff development, and parental engagement; none of which are IT functions.

If AI is framed correctly, as a cross-cutting strategic issue, it belongs on the board agenda with the same regularity and seriousness as safeguarding or financial oversight. It needs its own reporting line, its own success metrics, and its own scrutiny.

The Five Questions Every Board Should Be Asking

I work with schools to build their AI governance capacity, and I always start with the same five questions. If your board can answer these with evidence rather than anecdote, you are in reasonable shape. If not, you have work to do.

1. What AI tools are currently in use across the school, and have they been formally approved?

This is the most basic question, and it is remarkable how often it cannot be answered. Schools adopt AI tools organically, with a teacher trying something, a department head recommending a platform, or the marketing team using AI for social media. Without a central register and an approval process, the board has no visibility over what AI is actually doing in the school.

The board does not need to approve every tool individually. But it needs assurance that a process exists for evaluating and approving AI tools before they are used with student data, and that the process is being followed.

2. How does the school ensure that AI use complies with applicable data protection regulations?

This is a legal question with real consequences. If your school processes student data through AI tools, and if you use any AI tool with student interaction, it almost certainly does, you need to demonstrate compliance with the data protection regime that applies to your jurisdiction.

Board members should ask to see the school's data protection impact assessment for its highest-risk AI tools. If one does not exist, that is a significant gap. They should also ask about data storage locations, cross-border data transfers, and the terms of vendor contracts. These are not technical details; they are governance responsibilities.

3. What is the school's approach to AI and assessment integrity?

This is the question that parents will ask. And increasingly, accreditation bodies and exam boards are asking it too. Governors need to know that the school has a coherent approach to managing the impact of AI on assessment, and that this approach goes beyond simply telling students not to cheat.

Ask about assessment redesign. Ask about how the school verifies the authenticity of student work. Ask about the consistency of approach across departments. And ask what happens when an assessment integrity concern is raised. Is there a clear, fair process?

4. What investment is the school making in teacher AI competency, and how is progress measured?

This is the question that separates performative governance from effective governance. Many schools can say they offer AI training. Far fewer can demonstrate that teacher AI competency is actually improving.

Board members should ask to see data. What proportion of staff have completed AI CPD? What competency level have they reached? How does this compare to the beginning of the year? If the school cannot provide this data, it is investing in activities without measuring outcomes, which is not investment; it is expenditure.

5. Does the school have an AI strategy, not just an AI policy?

I wrote about the distinction between strategy and policy in a separate article, but the headline for governors is this: a policy manages risk, a strategy creates value. Both are necessary. If the school only has a policy, it is playing defence. Ask about the vision for AI in the school's educational mission, the priorities for the next two to three years, and the resources allocated to achieving them.

What the Board Does Not Need to Do

Governance is about oversight, not operations. Board members do not need to understand how large language models work. They do not need to evaluate individual AI tools. They do not need to design the CPD programme or write the policy.

What they need is assurance: evidence-based assurance that the school is managing AI thoughtfully, legally, and in alignment with its educational mission. They provide this assurance by asking good questions, expecting data-backed answers, and holding the executive team accountable for delivery.

Red Flags for Board Members

In my experience, there are specific red flags that should concern any governor or board member.

If the school has no central register of AI tools in use, governance is absent. If the head or senior leadership team cannot articulate the school's AI strategy beyond generalities, strategic direction is missing. If teacher AI CPD is measured in attendance rather than competency, investment is being wasted. If the assessment integrity policy has not been updated to address AI, the school is vulnerable. And if AI has never appeared as a substantive agenda item at a board meeting, oversight has failed.

None of these are catastrophic. All of them are fixable. But fixing them requires the board to take AI seriously as a governance responsibility, not just a topic of passing interest.

A Practical Starting Point

If you are a governor or board member reading this and feeling that your school has gaps, here is where I would start.

Request that AI appears as a standing item on the board agenda, not every meeting, but at least once per term. Ask the head to present a brief report covering the five questions above, with evidence rather than narrative. Propose that the school conducts a formal AI readiness audit, the AI Literacy Audit Tool provides a structured assessment against 33 international frameworks, but even an internal review is better than nothing.

And if you are a head or principal reading this, thinking about how to prepare for these questions from your board; that is exactly the position you want to be in. Proactive governance is always better than reactive governance, and a head who can answer these five questions with confidence and evidence will earn the board's trust far more effectively than one who says "we are looking into it."

AI is not going away. The board's role is to ensure the school navigates it well: legally, educationally, and strategically. That starts with asking the right questions. These five are a good place to begin.