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The Risks of AI in Education and How Schools Can Manage Them

March 2026
7 min read

Artificial intelligence offers real opportunities for schools. It can reduce workload, support planning, improve access to resources, help with administrative drafting and strengthen data analysis.

But AI also introduces risks.

Those risks do not mean schools should avoid AI completely. They mean schools need governance, training, safeguarding awareness and clear professional boundaries.

In education, technology is never neutral. Any tool used with children, staff data, assessment information or safeguarding-adjacent contexts must be treated carefully.

Risk 1: Safeguarding

Safeguarding should be the first lens through which schools view AI.

AI tools can create or intensify risks around:

  • harmful content
  • age-inappropriate responses
  • pupil image misuse
  • deepfakes
  • AI-generated sexualised imagery
  • grooming risks
  • misinformation
  • overreliance on chatbots
  • unsafe advice
  • weak filtering and monitoring

The 2025 Keeping Children Safe in Education guidance links generative AI to schools' online safety, filtering and monitoring responsibilities. It also points schools towards government guidance on generative AI in education and product safety expectations.

The DfE's May 2026 AI support materials also emphasise that safeguarding and online safety responsibilities remain central when using AI in education.

Schools should treat AI as part of their wider safeguarding and online safety ecosystem, not as a separate novelty.

Risk 2: Pupil images and synthetic manipulation

One fast-growing concern is the use of pupil images.

Images published on school websites or social media can potentially be scraped, copied, manipulated or used in synthetic content. Recent safeguarding commentary has warned schools to think carefully about image harvesting and AI manipulation risks.

Schools should review:

  • consent processes
  • website image use
  • social media publishing
  • image retention
  • staff training
  • reporting routes for image misuse
  • whether vulnerable pupils need additional protection

Celebrating school life matters, but schools should not treat pupil images as risk-free public content.

Risk 3: Data protection

Data protection is one of the biggest risks in school AI adoption.

The ICO has stated that generative AI technologies deployed in schools must be designed, developed, procured and implemented in ways that comply with data protection law and uphold people's rights.

Schools need to ask:

  • Is personal data being entered into the tool?
  • Is special category data involved?
  • Is pupil data used to train the model?
  • Where is the data stored?
  • Who is the data controller?
  • Who is the processor?
  • Can the school delete the data?
  • Is a DPIA required?
  • Are parents and pupils informed where necessary?
  • Is the tool age-appropriate?

Until these questions are answered, staff should not enter identifiable pupil data into unapproved AI systems.

Risk 4: Hallucinations and false confidence

AI systems can produce fluent but inaccurate answers. This is often called hallucination.

In schools, hallucination matters because a confident error can look authoritative. AI might invent references, simplify a topic incorrectly, produce a misleading explanation or give inappropriate advice.

This is particularly risky in:

  • science explanations
  • safeguarding-adjacent scenarios
  • SEND recommendations
  • legal or policy summaries
  • assessment feedback
  • parent communications
  • health-related content
  • exam preparation

The solution is not panic. It is quality assurance.

Every AI output used professionally should be checked by a competent adult. For teaching resources, that means checking curriculum accuracy, age-appropriateness, cognitive load, reading level and subject content.

Risk 5: Bias and discrimination

AI systems are trained on data created by humans. That means they can reflect and reproduce bias.

In schools, this could affect:

  • pupil descriptions
  • behaviour summaries
  • predicted performance
  • intervention recommendations
  • language used in reports
  • assumptions about families
  • SEND-related suggestions
  • cultural representation in resources

The government's 2026 Generative AI product safety standards highlight the importance of safety, fairness, robustness and protection from harm in learner-facing and teacher-facing products.

Schools should avoid using AI to make automated decisions about pupils. If AI is used to support analysis, the decision must remain with trained professionals.

Risk 6: Academic integrity

AI changes the way schools need to think about homework, coursework and independent study.

Pupils may use AI to:

  • complete homework
  • generate essays
  • solve problems
  • summarise texts
  • create revision notes
  • draft coursework
  • bypass thinking

Schools need a clear position on acceptable and unacceptable use.

A sensible policy should distinguish between:

  • AI used for revision
  • AI used for feedback
  • AI used for planning
  • AI used for drafting
  • AI used dishonestly
  • AI used in assessed work

Blanket bans may be unrealistic, but complete permissiveness is risky. Pupils need explicit teaching on academic integrity, authorship and responsible use.

Risk 7: Procurement and vendor claims

AI products are being marketed aggressively to schools.

Before procurement, leaders should ask:

  • What problem does this product solve?
  • Is it designed for schools?
  • Has it been tested with children?
  • How does it protect data?
  • Does it use pupil data for training?
  • Does it support filtering and monitoring?
  • Can outputs be audited?
  • Is there an admin dashboard?
  • Are there role-based permissions?
  • Does the provider understand UK safeguarding?
  • Does the school need a DPIA?
  • What evidence supports the product's claims?

Schools should be especially cautious of products that promise fully automated marking, behaviour prediction, personalised learning or safeguarding support without explaining the limits of the technology.

A practical framework: AIM SAFE

Schools need a simple way to manage AI risk. One practical framework is AIM SAFE.

  • A: Audit use - Find out how staff and pupils are already using AI.
  • I: Identify data - Check whether personal, sensitive or safeguarding-related data is involved.
  • M: Map risk - Consider safeguarding, privacy, bias, accuracy and workload implications.
  • S: Safeguard pupils - Align AI use with KCSIE, filtering, monitoring and online safety practice.
  • A: Assign accountability - Make clear who approves tools, checks outputs and owns decisions.
  • F: Filter and monitor - Ensure AI use fits within the school's digital safety infrastructure.
  • E: Evaluate impact - Review whether AI is improving outcomes, reducing workload or creating new risks.

Conclusion

AI risk in education is real, but manageable.

The answer is not to ban AI or adopt it blindly. The answer is to govern it properly.

Schools should use AI where it supports learning, reduces workload and improves decision-making. But they must protect pupils, respect data rights, train staff, scrutinise vendors and keep human judgement at the centre.

AI can support education. It must not be allowed to outrun safeguarding, ethics or professional responsibility.

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