Tru Data Protection

Three Risks of Synthetic Media in Education

A practical article on synthetic media risks in education, including impersonation, academic dishonesty, false accusations and data protection considerations.

Synthetic media in education refers to AI-generated or AI-manipulated content, including images, videos, audio recordings and text.

These tools can support learning, accessibility and creativity. They can also create serious risks for schools if used without clear boundaries.

At Tru Data Protection, we think schools should approach synthetic media in the same way they approach any emerging technology: understand the risk, set boundaries, and record decisions before problems escalate.

Three risks are especially important.

1. Impersonation and fake media

Synthetic media can be misused to create convincing false videos, images, audio clips or messages that appear to involve real students, teachers or school leaders.

This can cause:

  • emotional harm;
  • bullying or harassment;
  • reputational damage;
  • safeguarding concerns;
  • disciplinary disputes;
  • loss of trust in evidence.

In schools, the impact can be significant because the people affected may be children, vulnerable pupils or staff in trusted roles.

Schools should think carefully about how they would respond to synthetic media incidents and how they would verify whether content is genuine.

2. Academic dishonesty

Students may use synthetic media or generative AI tools to produce work that is not their own.

This can affect:

  • written assignments;
  • images or creative work;
  • audio and video submissions;
  • coding tasks;
  • presentations;
  • research summaries.

The issue is not simply whether a student used a tool. The issue is whether the use was allowed, acknowledged and consistent with the purpose of the assessment.

Schools should provide clear guidance on acceptable and unacceptable use.

3. False accusations

Manipulated or fabricated media can be used to falsely accuse students or staff of misconduct.

This can lead to:

  • distress;
  • safeguarding escalation;
  • reputational damage;
  • unfair disciplinary processes;
  • conflict between families and the school;
  • pressure on leaders to act before facts are clear.

Schools should avoid relying on synthetic media evidence without considering authenticity, source, context and technical indicators.

Practical steps for schools

Schools can reduce risk by:

  • updating acceptable use policies;
  • giving staff guidance on AI-generated content;
  • teaching pupils about synthetic media and misinformation;
  • setting rules for AI use in assignments;
  • avoiding upload of personal data into unapproved AI tools;
  • using DPIA screening for higher-risk AI tools;
  • recording incidents and decisions;
  • involving safeguarding and data protection leads where needed.

Data protection considerations

Synthetic media may involve personal data where a person is identified or identifiable.

It may also involve special category or sensitive information depending on the context.

Schools should consider:

  • what data is being used to create the media;
  • whether consent or another lawful basis applies;
  • whether children’s data is involved;
  • whether the tool trains on uploaded content;
  • whether the supplier stores prompts or outputs;
  • whether a DPIA is required;
  • whether ROPA needs updating.

How Tru Data Protection helps

Tru Data Protection helps schools and MATs assess new technologies in a practical, evidence-led way.

That includes:

  • acceptable use guidance;
  • supplier review;
  • DPIA screening;
  • governance records;
  • incident and response support;
  • policy review.

Conclusion

Synthetic media can support education, but it also introduces risks around impersonation, academic integrity and false allegations.

Schools should respond with clear policies, practical staff guidance, pupil education and proportionate data protection governance.