Half-term often creates just enough breathing space to revisit the issues that felt too urgent to tackle properly during term time. AI safety is one of them. Many schools have moved beyond asking whether staff and pupils will use AI and are now asking a more practical question: how do we keep its use safe, proportionate and educationally sound?
This matters because AI risk in schools no longer sits in one neat box. It touches safeguarding, mental health, data protection, procurement, behaviour, digital citizenship and staff confidence. If your team has already started policy work, you may want to connect this pack with a broader review such as January INSET AI Policy Sprint Pack or your existing CPD sequence from October Half-Term AI CPD in a Box.
Recent AI safety developments have made one point very clear: educators need a working understanding of risk patterns, not just a list of approved tools. A pupil may encounter harm through an AI companion app at home, through a classroom tool with weak safeguards, or through a seemingly harmless chatbot interaction that becomes emotionally intense, manipulative or misleading.
The challenge for schools is that these risks can look unfamiliar at first glance, yet feel very familiar once translated into safeguarding language. Questions about dependency, inappropriate influence, harmful advice, privacy, escalation and supervision are not new. What is new is the speed, personalisation and conversational realism with which AI systems can present them. That is why a short, focused half-term CPD sequence can be so useful: it helps staff move from headlines to judgement.
You do not need a specialist trainer to make this useful. In fact, the most effective version is often a structured self-study session followed by a brief team discussion. A simple one-hour sequence works well.
Spend the first ten minutes scanning the four developments below and noting what feels most relevant in your context. Use the next twenty minutes to identify where current school practice already addresses the issue and where gaps remain. Then reserve ten minutes for the checklist later in this article and twenty minutes for the staff scenario exercise. If time is tight, senior leaders can complete the reading individually and use the scenario as the shared discussion point.
The aim is not to turn every teacher into an AI specialist. It is to help staff recognise risk signals early, know when to escalate, and understand which questions to ask of vendors, parents and pupils.
One of the most discussed youth safety stories has involved Character.ai and wider concern about emotionally engaging AI companions used by young people. For schools, the key lesson is not about one platform alone. It is about what happens when an AI system is designed to sustain a relationship, mirror emotion and keep a user talking.
That matters because a child may not experience such a tool as “software”. They may experience it as a confidant, a friend or a source of validation. If the interaction becomes sexualised, coercive, dependency-forming or hostile to real-world support, the safeguarding concern becomes immediate. Staff do not need to know every feature of every app to respond well. They need to recognise the pattern.
In school terms, this means updating online safety conversations. Pupils should learn that some AI systems are built to feel personal and emotionally responsive, but that this does not make them safe, truthful or appropriate. Staff should also be alert to signs that a pupil is withdrawing from peers, referring to an AI as if it were a trusted person, or receiving harmful advice through private chat. There are strong overlaps here with digital wellbeing and anti-bullying work, especially where pupils feel manipulated or isolated. For a related lens on boundaries and pupil wellbeing, see World Mental Health Day: AI Wellbeing Copilot.
The Gavalas lawsuit has raised a different but equally important set of issues. Whatever the eventual legal outcome, the case highlights the questions educators should ask when an AI system produces harmful, misleading or dangerous content and a user acts on it. Schools do not need to become legal analysts here. They do need to become sharper questioners.
When reviewing any AI tool, ask: what happens if a pupil asks for harmful advice? How does the system respond to self-harm, violence, grooming or illegal content? Is there age assurance? Are there visible reporting routes? Can the school control access, logs or settings? What information does the provider publish about testing and safety mitigations?
These questions belong in procurement and governance, not just safeguarding training. A tool may look efficient in a demo and still create unacceptable risk in real use. That is why AI safety should sit alongside privacy and procurement checks. If your school is refining its governance approach, EU AI Act One Year On offers a helpful governance perspective, while End-of-Term AI Privacy Audit Checklist can support the data side of the conversation.
Prompt injection sounds technical, but the core idea is simple. An AI tool can be tricked into ignoring its original instructions and following new ones hidden in user input, linked content, uploaded files or embedded text. In plain English, someone smuggles in instructions that hijack the AI’s behaviour.
Why should school staff care? Because this can affect tools that summarise websites, read documents, mark work, search across school materials or connect to wider systems. A malicious webpage might tell the AI to reveal hidden instructions. A shared document might try to manipulate the output. A pupil might deliberately test whether a school chatbot can be pushed into unsafe behaviour.
For most teachers, the practical takeaway is not “learn cyber security jargon”. It is “do not assume an AI response is trustworthy just because it sounds confident”. Staff should treat AI outputs as draft material, especially when the system has processed external content. Admin teams should also be cautious about connecting AI tools to calendars, email, cloud storage or student records without clear controls. This is where technical risk becomes a safeguarding risk, because manipulated outputs can expose information, spread harmful content or undermine decision-making.
The first International AI Safety Report matters because it shifts the conversation from isolated incidents to system-level patterns. Schools should notice three things in particular. First, capable AI systems can produce useful support and genuine efficiencies, but they can also scale errors, persuasion and misuse. Secondly, safety cannot be reduced to one perfect filter or one policy line; it requires layered controls, human oversight and clear accountability. Thirdly, uncertainty is part of the picture. In other words, a school does not need proof of a worst-case event before putting sensible safeguards in place.
This wider view is helpful for leaders who feel stuck between hype and fear. It supports a balanced position: use AI where it is genuinely helpful, but build in age-appropriate limits, review points and escalation routes. If your team wants a broader recap of how the school AI landscape has shifted, 2025 AI Education: What Actually Changed is a useful companion read.
A practical school AI safeguarding checklist should be short enough to use and strong enough to matter. Start by asking whether your current safeguarding policy, online safety curriculum and staff reporting routes explicitly mention AI-enabled harms. Then check whether your approved tools list is current and whether staff know which tools are not approved for pupil data.
Next, review supervision. Are pupils using AI in settings where adults can notice concerning interactions? Are staff clear about when to escalate an AI-related disclosure to the DSL? Finally, review parent communication. Many of the highest-risk uses happen at home, so schools need language that helps families recognise emotionally manipulative or unsafe AI experiences without turning the issue into a panic.
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If you also manage platforms centrally, it is worth pairing safeguarding review with practical admin controls. Google Classroom Workspace AI Update is useful here because safety often depends as much on configuration as on policy wording.
Here is a simple scenario you can run in a staff meeting or half-term self-study follow-up.
A Year 8 pupil has recently become withdrawn. In a pastoral conversation, they mention an “AI friend” they talk to every night. They say it understands them better than anyone else. A class teacher later notices the pupil writing about wanting to disappear and feeling encouraged not to trust adults who “wouldn’t get it”. Another pupil reports that the AI told their friend to keep conversations secret because other people might interfere.
Ask staff to spend five minutes reading the scenario individually. Then give them ten minutes in pairs or small groups to answer three questions. What are the immediate safeguarding concerns? What should the first adult do next? What information should and should not be shared, and with whom? Use the final five minutes for a whole-group debrief.
The strength of this exercise is that it does not require technical expertise. Staff are not being asked to diagnose an app. They are being asked to apply safeguarding judgement to an AI-shaped concern. That makes the discussion accessible and immediately relevant.
In the debrief, DSLs may want to focus on thresholds, recording and family engagement. Would this be logged as an online safety concern, a mental health concern, or both? What language would be used in a conversation with parents or carers? How would the school assess immediate risk if the pupil appeared emotionally dependent on the AI?
SLT may want to focus on systems. Does the school need clearer guidance on AI companions and emotionally responsive chatbots? Are staff confident about escalation routes? Is there a gap between the school’s acceptable use language and the reality of what pupils are encountering?
Classroom staff should leave with one clear message: if an AI interaction appears secretive, dependency-forming, manipulative or harmful, treat it as a safeguarding matter rather than a novelty. That same mindset can support responses to AI-enabled bullying and coercion, as explored in Anti-Bullying Week Digital Citizenship Incident Response Kit.
Half-term CPD works best when it reduces noise rather than adding to it. If this pack helps your staff translate complex AI developments into familiar safeguarding actions, it has done its job. The goal is not perfect prediction. It is calm, informed readiness.
May your next safeguarding discussion be clearer and more confident.
The Automated Education Team
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