AI in Schools: Moving from Experimentation to Governance
Artificial intelligence is no longer a distant future issue for schools.
Teachers are using AI to support planning, administration, resource creation, feedback, and workload reduction. Pupils are increasingly aware of AI tools. Suppliers are adding AI features to education platforms. Leaders are being asked to balance innovation with safety, safeguarding, data protection, and quality assurance.
The Department for Education has published guidance and support materials on the use of generative AI in education, alongside product safety standards to help schools and colleges assess AI tools for safe use.
For schools and MATs, this marks a shift.
AI is no longer just something individual staff members are experimenting with. It is becoming a governance issue.
The opportunity AI creates
Used well, AI has the potential to reduce workload and support school operations.
It can help staff draft communications, summarise information, generate resources, analyse patterns, support administrative tasks, and improve access to information. For busy schools, these opportunities are genuinely valuable.
In a sector where workload remains a major concern, anything that saves time without reducing quality deserves serious consideration.
But AI also introduces new questions.
What data is being entered into tools? Which platforms are approved? Are staff using personal accounts? Are pupils using tools safely? Are safeguarding risks being considered? Are outputs being checked? Are suppliers meeting appropriate standards? Are policies up to date?
The answers to these questions cannot be left to chance.
Why governance matters
The biggest risk for schools is not simply that AI exists.
The risk is unmanaged use.
If staff are unsure which tools are permitted, they may make their own decisions. If policies are unclear, practice may vary across departments or schools. If supplier contracts are not reviewed carefully, AI features may be introduced without proper oversight. If training is inconsistent, staff may not understand the limits or risks of the technology.
For MATs, the challenge is even greater.
One school may be actively exploring AI. Another may be avoiding it completely. Another may be using AI features within existing software without realising the governance implications. Different departments may be using different tools, and some usage may not be visible centrally.
This makes it difficult for trust leaders to understand the real picture.
AI governance requires clear records, clear decisions, and clear accountability.
The link with safeguarding, data protection, and procurement
AI sits at the intersection of several key responsibilities.
From a safeguarding perspective, schools need to consider how AI tools are used with pupils and whether risks are being properly managed.
From a data protection perspective, schools need to understand what information is being entered into systems and how that information may be processed.
From a procurement perspective, schools need to assess suppliers, contracts, costs, terms, renewal dates, and product safety considerations.
From a policy perspective, schools need to make sure staff understand what is allowed, what is not allowed, and where to get support.
This means AI cannot be treated as a simple technology decision.
It needs input from senior leaders, IT teams, safeguarding leads, data protection leads, procurement teams, and curriculum leaders.
How MATs can move from experimentation to structure
The best approach is not to ban innovation or ignore risk.
It is to create a clear framework.
MATs may need to consider:
An approved list of AI tools
A process for reviewing new tools
Supplier and contract checks
Staff guidance and training
Data protection expectations
Safeguarding considerations
Policy updates
Review dates
A record of decisions and approvals
This is where centralised systems can help.
A trust can use supplier management tools to track which platforms are approved. Contract management can help monitor terms, costs, and renewal dates. Policy management can ensure staff guidance is current. Compliance tracking can help evidence decisions and reviews.
The aim is not to make AI governance complicated.
The aim is to make it visible and manageable.
Final thought
AI will continue to develop quickly.
Schools do not need to have every answer immediately. But they do need a clear approach.
For MATs, the priority should be moving from informal experimentation to responsible governance.
That means knowing which tools are being used, which risks have been considered, which policies apply, which suppliers are involved, and who is responsible for review.
AI has the potential to support schools in meaningful ways.
But to get the benefits safely, schools need more than enthusiasm.
They need oversight.
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