Education · 22 September 2026

AI in Education

For teachers, school leaders and MATs

At askKira, we provide GDPR-compliant, secure AI built specifically for UK schools. Developed with over 100 education experts and aligned with DfE, Ofsted and EEF guidance, askKira helps teachers, school leaders and MATs work smarter, reduce workload and make data-driven decisions with confidence.

This week's roundup brings you the latest AI developments that matter for UK education.

School AI Policy

Half of UK Schools Still Have No AI Policy in Place

New data from the NEU reveals that 49% of schools have no AI policy whatsoever, with 66% lacking anything specific to student use. Despite DfE guidance being published, schools have been left to draft their own frameworks without templates or standards. Effective policies need not be lengthy; the strongest examples fit on a single page with named tools, clear boundaries and one accountable person.

Why it matters: With AI use already embedded in many classrooms, UK school leaders cannot afford to delay. A clear, one-page policy protects staff, students and the school from safeguarding and data risks this academic year.

Read the source on LNKD →

MPs and Lords Call for New Law to Protect Human Rights from AI

A cross-party group of UK MPs and peers has warned that existing legislation is ill-equipped to handle the human rights risks posed by rapid AI deployment. They are calling for a comprehensive new law to regulate AI systems, highlighting concerns about automated decision-making that directly affects individuals' rights and daily lives.

Why it matters: Any new AI legislation would have direct implications for how UK schools procure, deploy and govern AI tools, particularly those making decisions about pupils' learning, attendance or welfare.

Read the source on INNERTEMPLELIBRARY →

AI in Further Education

FE Sector's AI Governance Gap Laid Bare in New Leadership Report

Research co-authored with the Education and Training Foundation finds that 90% of FE and skills leaders report AI activity in their organisations over the past 12 months, yet only 17% feel well prepared and just 27% have an AI governance framework in place. Staff are already using generative tools to draft lesson plans and mark work, often before boards have established who is accountable or what data protections apply.

Why it matters: FE colleges face the same governance exposure as schools but often with less structural oversight. Without a clear AI strategy, colleges risk significant data, safeguarding and reputational harm as informal pilots spread unchecked.

Read the source on LNKD →

AI in Student Learning

MIT Study Warns AI May Be Creating an Illusion of Learning

A newly published MIT study, covered widely this week, warns that AI use can cause "cognitive surrender" in students, with researchers concluding that AI can actively harm learning outcomes when used without structure. The findings are prompting renewed debate on campuses and in school communities about how AI should and should not be used in the classroom.

Why it matters: UK teachers and curriculum leaders need to distinguish clearly between AI as a teacher-support tool and AI as a substitute for student thinking. This research strengthens the case for explicit classroom AI protocols in UK schools.

Read the source on LNKD →

AI Tools and Training

TES Publishes Editable AI Policy Template for Schools

TES has released a human-centred, editable AI policy for schools available in both Word and PDF formats. The resource is designed to help school leaders produce a working policy without starting from scratch, addressing one of the most consistently cited barriers to effective AI governance at school level.

Why it matters: With the majority of UK schools still lacking a formal AI policy, a ready-made, editable template removes a significant practical obstacle and helps leaders act quickly at the start of this academic year.

Read the source on LNKD →

On your radar

Governance Before PilotsThe FE data is a warning for all education settings. If staff are already using AI tools informally, your board or governing body needs an accountable lead named before the end of this half-term, not after a problem surfaces.
One-Page Policy StandardThe NEU's finding that two-thirds of schools have nothing student-specific on AI is stark. Use the TES editable template as a starting point and circulate a draft to your senior leadership team before October half-term.
Human Rights and ProcurementWith MPs pushing for new AI legislation, UK schools should review any AI tools that make or inform decisions about pupils, such as behaviour scoring, attendance flagging or progress prediction, and ensure a DPIA is in place for each.
Cognitive Surrender in ClassroomsFollowing the MIT findings, consider introducing an explicit "AI-free drafting" stage into written tasks across key stages. Students produce a first attempt independently before any AI tool is introduced, preserving the cognitive effort that builds genuine understanding.
FE as a CanaryThe ETF research finding that only 27% of FE providers have a governance framework is almost certainly replicated in secondary schools. Use the AI CLEAR diagnostic referenced in this week's FE story as a self-assessment prompt for your own leadership team, even if you are not in the FE sector.
Policy Ownership, Not Policy CommitteesThe most effective school AI policies have a single named owner who can answer questions the same day they arise. If your policy is owned by a committee or sits with no one in particular, assign a named lead this week.
OlderAI in Education, 15 September 2026