mister pyles ·E-Safety Zero to Hero
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ACAMIS Tech 2026 · Workshop companion

From nothing to something that lasts.

E-Safety Zero to Hero is a step-by-step route from borrowed lessons to a whole-school digital safeguarding system: students, families, staff, leadership and policy. Find your stage, take the next step, and build what survives staff turnover.

Built in Beijing classrooms. For the adults beside them.

N00 Zero01 Borrow02 Bespoke03 Families04 Adults05 Own it06 Integrate

Zero → Hero / a route, not a checklist

Tim Pyles · Learning Technology Coach & Whole College E-Safety LeadNursery → Year 13 / Dulwich College Beijing
Safeguarding boundary: Do not enter names, initials, images, URLs, screenshots, case narratives or any information that could identify a child. This site is a planning aid, not a case-recording system. If a child may be at immediate risk, follow your school’s safeguarding and emergency procedures now.
安全边界:请勿输入姓名、姓名缩写、图片、网址、截图、个案叙述或任何可能识别儿童身份的信息。本网站是规划工具,不是个案记录系统。如儿童可能面临即时风险,请立即启动学校的安全保护与紧急程序。
01 / The journey

From borrowed lessons to a whole-school system.

No school starts with a curriculum, a parent programme and a policy suite. Most start with one interested person and an incident. These seven stages describe how the work grows, and what “ready for the next step” looks like at each one. Every stage has free starting points, so nobody has to build from scratch.

00

Zero: one person, no plan.

E-safety happens after incidents, in an annual assembly, or because one teacher cares. Nothing is written down and nobody owns it. This is where almost everyone starts, and it is fine.

StudentsWeeks 1–4
First moves
  • Name one owner and one safeguarding partner. Write both names down.
  • List what already exists: lessons, assemblies, policies, platforms, redacted incident patterns.
  • Run a short, anonymous student-voice prompt (see Diagnose & plan).
Use this companion
  • Diagnose & plan: score each track 0–3 to see where you are.
  • Respond: make sure every adult has the four-step first response today, before any curriculum exists.
Ready for stage 01 when…

There is a named owner, a one-page list of what exists, and one snapshot of what students say. You know what you are not doing yet.

At DCB: the work began as lessons on request, with the Learning Technology Coach supporting teachers class by class. No shared strands, no family programme yet.
01

Borrow: start with trusted templates.

You do not need to write a curriculum to begin. Adopt one recognised framework as your spine, use a calendar moment to launch it, and get a planned lesson into every phase each term.

StudentsFamiliesTerm 1
Free starting points
First moves
  • Pick one framework as the spine. Mixing four at once is how coverage gaps hide.
  • Map one lesson per term per year group. Put it in the calendar, not a shared drive.
  • Launch with Digital Citizenship Week or Safer Internet Day so it feels like an event.
  • Download lessons and videos in advance: some platforms load slowly or not at all on mainland networks.
Ready for stage 02 when…

Every phase has at least one planned moment per term, teachers know where the lessons live, and you have noticed what does not fit your students.

At DCB: DUCKS (Early Years) began with a Digital Citizenship Week animated video built around values and character. That one borrowed-and-adapted moment became the seed of a whole Early Years programme.
02

Make it yours: bespoke resources.

Borrowed lessons describe someone else’s students. This stage replaces them, one at a time, with content in your values, your languages and the platforms your students actually use, and makes students active rather than told.

StudentsYear 1–2
What “bespoke” looks like
  • A values character young children recognise.
  • Gamified lessons and simulations instead of slides about danger.
  • A journal students keep across the year.
  • Scenarios set on local platforms (WeChat, Douyin, Teams, school chat) and in local languages.
  • A termly trend refresh so content does not date (see Harm radar).
Examples from practice
  • Digital Citizen DilonPDF ↓: a values-character curriculum for Early Years.
  • Digital Citizenship JournalCanva ↗: Junior School, lesson by lesson.
  • Operation Protection: Year 8 team game on grooming; students build a fake groomer profile to learn the red flags.
  • CyberSpace: “should this post spread?” game and bystander role-plays.
  • Pausing PointHTML ↓: a facilitated activity for practising when to pause, check, and bring a trusted person into an online interaction.
First moves
  • Replace one borrowed lesson per phase with a local version this year.
  • Add one scenario on a platform your students use and adults do not.
  • Ask students to co-design the next resource, then test it with a younger year group.
Ready for stage 03 when…

Students recognise the programme by name, and content changes each year because of trends and student voice.

At DCB: Junior School moved from targeted lessons to bespoke, gamified content and a Digital Citizenship Journal. Senior School moved from lessons per request to a built curriculum, updated as international trends changed.
03

Bring families in: guides and workshops.

Children spend most of their online lives at home. A single annual parent talk does not change that. Regular, short, bilingual, age-specific contact does.

FamiliesOngoing
Formats that work
  • A monthly café (e.g. Sip & Support): 30 minutes, one topic, coffee, a take-home sheet.
  • Parent academies for bigger shifts: new trends, the school’s position, community goals.
  • Talk sheets: “Instead of / Try / Why” in every home language.
  • Conversation cards sent weekly (e.g. a Media Mentorship Month).
Age-specific topics
  • Early years: AI toys, digital safety at home, what information children should never share.
  • Primary: first devices, gaming and chat, healthy habits, family agreements.
  • Secondary: social media, AI companions, sextortion, misogyny and influencers, deepfakes.
First moves
  • Publish one bilingual talk sheet this term (see Families).
  • Plan six to ten short sessions across the year, by phase.
  • Share anonymised student voice with parents: it persuades more than national statistics.
Ready for stage 04 when…

Families can name the school’s position, come back to sessions, and contact the school earlier when something goes wrong.

At DCB: 22 family sessions so far: 12 Parent Academies and 10 Sip & Support workshops, plus Media Mentorship Month cards in English and Chinese, with topics chosen per phase.
04

Train the adults: staff and leaders.

Curriculum reaches students for an hour. Staff are with them all day. Every adult needs a script and current awareness; leaders need to understand the system well enough to resource it.

StaffLeaders
Training layers
  • Everyone, annually: notice → open → listen → route.
  • Everyone, termly: a 20-minute trend briefing (Harm radar).
  • Targeted: misogyny and the manosphere, AI companions, sextortion, coded language.
  • EdTech and IT: AI tool assurance and filtering review.
  • Leaders: what the law and guidance now expect, and what it costs.
Make it practical
  • Use your own anonymised trends, not only national headlines.
  • Run a scenario, not a lecture: staff work a fictional case through the Respond tab.
  • Teach staff to ask (“What does that mean to you?”), not to decode slang.
First moves
  • Add the four-step first response to induction.
  • Schedule one trend briefing per term in the staff calendar.
  • Train the safeguarding team on AI-specific harms this year.
Ready for stage 05 when…

Any adult can name the reporting route, and concerns reach the safeguarding team earlier and with better information.

At DCB: staff training covers changes and trends in digital safety in each phase; in Senior School that includes the bilingual misogyny and manosphere briefing behind the Harm radar.
05

Own it: accountability and policy.

Until it is written down, owned and reviewed, the programme depends on one person. This stage turns practice into policy, so it survives the person who built it.

LeadersGovernance
What to have
  • An AI policy with age-phased guidance (supervised / guided / independent with disclosure).
  • Responsible-use agreements per phase.
  • An AI tool approval gate (see Respond).
  • An annual, recorded filtering and monitoring review.
  • Named owners for each strand, each policy and each review date.
Leadership decisions
  • Who is accountable for the whole map, and who for each strand?
  • Which safeguarding, IT and data-protection leads meet, and how often?
  • What evidence will leaders review each year: incident trends, student voice, coverage, family reach?
First moves
  • Name a policy owner and a review date.
  • Put the annual review in the governance calendar.
  • Use the Diagnostic as your first evidence snapshot.
Ready for stage 06 when…

Policies reference the curriculum, families and training, and leaders have reviewed evidence at least once.

At DCB: a whole-college AI policy and age-phased AI guidance for students and teachers, linked to the digital safety policy and responsible-use agreements, with a named Whole College E-Safety Lead.
06

Integrate: the whole-school hero.

One set of strands from Nursery to Year 13, delivered through partnered lessons that class teachers and specialists own. The e-safety lead coordinates and coaches rather than delivering everything. That is what “hero” means here: a system, not a person.

StudentsFamiliesStaffLeaders
A unified strand set (example)
  1. What AI and technology are
  2. Thinking and checking
  3. Privacy and data
  4. Self and others online
  5. Creating responsibly
  6. AI, fairness and the world
  7. Wellbeing with technology

Each strand has age-band expectations from 3 to 18, so a Year 9 lesson builds on what a Year 2 child learned.

How ownership spreads
  • Partnered lessons: PSHE, computing, English, art and tutors each carry named strands.
  • Specialists (counsellors, librarians, IT) own the content closest to their expertise.
  • The lead keeps the map, the trend updates and the evidence cycle.
  • Students design resources and teach younger years.
  • Families receive matching guidance each term.
You are here when…

If the e-safety lead left tomorrow, the lessons, family sessions, training and reviews would still happen next term.

At DCB: from scattered digital citizenship strands, then AI literacy goals, to a unified set of targeted strands spread across partnered lessons that teachers and specialists take accountability for.

Four tracks, moving at different speeds

Stages are not a strict ladder. Most schools are at stage 2 for students and stage 0 for families, or have a policy (stage 5) that no one has been trained on (stage 4). The diagnostic scores each track separately so you can see which one is holding the others back.

Students

From borrowed lessons to bespoke, student-designed curriculum in every phase.

Families

From one annual talk to a bilingual, age-specific programme families return to.

Staff & leaders

From incident-driven reminders to scripted response, trend briefings and targeted training.

Policy & accountability

From one person’s goodwill to named owners, reviewed policy and evidence.

Why this matters now
Why now: the first “adult” a child tells may not be an adult.

Across 2026 evidence, children are taking worries to chatbots before people. Ofcom (UK, May 2026) found 11% of 8–17s have used AI “as a friend or someone to talk to”; Common Sense Media (US, June 2026) found a third of 9–17s had used AI to talk about feelings or personal problems, and of the 16% who met inappropriate content through a chatbot, only a third told a trusted adult. And it is not only companion apps: Australia’s eSafety Commissioner (2026) found half of 10–17s using everyday AI assistants also used them for personal or social reasons—advice, health, feelings. The homework helper becomes the confidant. UNICEF’s June 2026 multi-country study points the same way: about one in ten children surveyed turn to AI for advice on personal difficulties. A disclosure to a chatbot is not a safeguarded disclosure. Your trusted route now has to be as easy to reach at 11pm as an app. Treat these as external evidence—use local student voice to test what is true in your community.

2026 SIGNAL · UK

The Year 6→7 cliff

Smartphone ownership jumps from 56% to 83% between ages 10 and 11 (Ofcom 2026). Transition is the single largest change in a child’s digital life—plan your teaching and family work around it.

2026 SIGNAL · UK

Confidence ≠ competence

56% of 13–15s feel confident spotting AI-generated content; a quarter of the confident group failed when tested (Ofcom 2026). Teach verification habits, not detection bravado.

2026 SIGNAL · GLOBAL

AI imagery is a safeguarding matter

IWF identified 8,029 AI-generated abuse images/videos in 2025 (+14%), with AI videos up 260-fold; 65% were the most severe category. KCSIE 2026 now defines “nudes and semi-nudes” to include AI-generated and altered images.

Design with, not only defend.

Children’s relationships with technology are developmental material to design with, not just risks to mitigate. The strongest programmes pair protection with agency: students write the norms, build the campaigns, test the tools and tell adults what they are missing.

02 / Workshop slides

The ACAMIS workshop, slide by slide.

The full 60-minute deck from the ACAMIS Technology Conference 2026. Use the arrow keys or the buttons, jump by act, or open any slide from the grid. The Dilon and Junior School videos play inside their slides.

Slide 1: E-Safety: Zero to Hero

E-Safety: Zero to Hero

Download slides (PDF)
All 31 slides

Tip: press F for full screen, ← and → to move. The slides work offline once this page has loaded.

03 / Case study

How it grew at Dulwich College Beijing.

One Nursery to Year 13 international school in Beijing, from 2023. Each phase started somewhere different and moved at its own pace. The pattern underneath was the same: borrow, make it ours, bring families in, train the adults, then write it down and share the ownership.

Across four years

22 family sessions12 Parent Academies + 10 Sip & Support workshops
10 staff sessionsPlatforms, AI and digital safety trends, plus 5 targeted staff surveys
3 policy auditsPolicy audits across the college
Nursery–Y13Whole-college digital safeguarding and curriculum
Classroom activityPausing Point scenario game
7 strandsUnified AI and digital citizenship strands, ages 3–11 and up

See the whole approach on one page: .

Early Years

DUCKS

  • 01Digital Citizenship Week animated video on values and character.
  • 02A new DCB value-character curriculum: Digital Citizen DilonPDF ↓.
  • 02Dilon grew from an initial values video (2023) to a scaffolded AI video (2026).
  • 02Expanded into early AI literacy (“a computer can help, but it isn’t a person”).
  • 04Staff training for Early Years teams.
  • 03Parent and community guides and Sip & Support sessions: AI toys, digital safety at home, what children should never share.
Junior School / Upper Elementary

Juniors

  • 01Targeted lessons on specific issues.
  • 02Slowly turned into bespoke, gamified content and lessons: Common Sense Media lessons remade as “DC at DCB” videos with Canva and ElevenLabs.
  • 02A Digital Citizenship JournalCanva ↗ students build across the year.
  • 03Expanded parent and community workshops and content; targeted Sip & Support topics.
  • 04Teacher training on changes and trends in digital safety.
Senior School / Middle & High

Seniors

  • 00Lessons on request.
  • 02A built, bespoke curriculum: Operation Protection, CyberSpace, Healthy Digital Habits, Pausing PointHTML ↓.
  • 02Student workshops and micro-lessons: The Streak (requested for app overuse), Operation Protection (requested for grooming) and Pausing Point (a facilitated practice activity).
  • 02Content updated each year from rising international trends.
  • 04Staff training on digital safety and on misogyny and the manosphere.
  • 03Parent Academies and workshops on new trends and community goals, plus Sip & Support content for Senior families.
Whole college

Integration

  • 01Some digital citizenship strands in place.
  • 02AI literacy goals added.
  • 05AI policy and age-phased AI guidance; a Whole College E-Safety Lead.
  • 04School-based staff training across DUCKS, Junior and Senior School, with surveys and informed follow-up.
  • 03Sip & Support expanded into E-Safety Workshops in 2026, a parent landing page for digital safety, and visiting speakers on screen time and family technology practices.
  • 06A unified set of targeted strands and curriculum, spread across partnered lessons that teachers and specialists take accountability for.

Linked resources open or download from this page. Pausing Point is the classroom-ready adaptation; the original Signal Drop remains a school-specific example in the presentation. Chips show the journey stage each step represents: Students Families Staff, leaders and policy

What transfers

Start where the energy is. Early Years and Senior School started at different stages, and that was fine. The journey is per phase and per track, not one school-wide switch.

What made it stick

Named characters and named programmes (Dilon, the Journal, Sip & Support) gave students, families and staff something to recognise and return to.

What made it last

Moving delivery into partnered lessons owned by teachers and specialists. The lead’s job shifts from teaching every lesson to keeping the map current.

04 / Diagnose & plan

Where are you on the journey?

Score each track on what is observable this term, not what a policy says. This is a conversation tool, not a validated audit. Nothing is stored.

0 · Zero
Nothing planned; depends on incidents or one person.
1 · Borrowed
A recognised template is in use and scheduled.
2 · Bespoke
Adapted to our students, languages, platforms and trends.
3 · Owned
Integrated, owned by named people, reviewed with evidence.

Students: Early Years

Values, character and “tell a grown-up” for ages 3–6.

Students: Primary

Planned, progressive lessons for ages 6–11.

Students: Secondary

Curriculum that keeps up with trends, ages 11–18.

Families

Guides, sessions and conversations families return to.

Staff & leaders

Scripts, trend briefings and targeted training.

Policy & accountability

Named owners, reviewed policy, evidence.

Your next step

A low score is not failure. It marks where one owned action will make the biggest difference.

Thirty-day start

One name. One action. One date.

Held only in this page session. It does not save, send or create a safeguarding record. Do not include student or case information.

DAYS 1–10 · SEE

Build the local picture

Run a short, anonymous student voice prompt; review only redacted/aggregated incident trends; identify the blind spots created by home devices, apps and current AI use.

DAYS 11–20 · NAME

Give the response owners

Confirm coordinator, safeguarding lead/deputy, senior sponsor, IT/data-protection partner, family liaison and review date. Write the decision rights down.

DAYS 21–30 · ACT

Run one small intervention

Use one staff scenario, one age-appropriate curriculum moment or one family conversation starter. Close the loop by telling students/families what changed.

END OF DAY 30 · REVIEW

Bring evidence, not anecdotes

Ask: What did we see? What changed? What was not visible? What needs a formal policy, technical or training decision? Set the next 60-day action.

DAYS 1–10 · SAFE STUDENT VOICE PROMPTS

Ask about systems, never about incidents

Run anonymously, by year group, with no free-text field that invites a disclosure. Tell students in advance who will read the results and how they will hear back. Suggested prompts:

  • “If something online worried you, which adult in school would you tell first? Which would you never tell?” (name roles, not people)
  • “Have you ever asked an AI something you would not ask a person? What kind of thing?” (categories, not details)
  • “What do adults in this school get wrong about how we use technology?”
  • “What is one rule here that you think helps, and one that doesn’t?”

Close the loop within 30 days: “You told us X. We changed Y. Here is what we could not change and why.”

Do not include a child, family or case identifier.
05 / Respond

Protect the child, protect the response.

This direction is deliberately conservative. It helps a safeguarding lead structure professional judgement and local process; it does not replace a school’s policy, legal advice, emergency service, child-protection authority or approved case-recording system.

Every adult

Your one routine: notice → open → listen → route

Notice a change or concern. Open a calm, non-leading conversation. Listen without promising secrecy or investigating. Route the concern through your school’s named safeguarding process. You need a script and a route, not technical expertise.

New for 2026: if a child says they already told an AI, treat it as a disclosure to you, now. Do not ask them to show you the chat, and do not check what the chatbot “advised” before routing. The chatbot is context, not a colleague.

Safeguarding lead

Your non-negotiables

Clear reporting routes; case records in the approved system only; threshold and referral decisions under local policy; proportionate, child-centred response; parent involvement assessed for safety; and no staff member looking for, downloading or circulating harmful imagery as part of “investigation.”

Leaders

Your first leadership decision

Approve a named accountable coordinator, a safeguarding-lead partnership, a 30-day local evidence cycle and a recurring governance review. The question is not “who knows most about technology?” but “who can make sure the response is owned, evidenced and reviewed?”

EdTech coaches

Your assurance question

Before enabling a new tool, ask: What data enters it? Who can access it? What age/account controls exist? What content risks and reporting route apply? Does it work on our actual devices and networks? Who reviews it with safeguarding and how often?

Add for chatbots and companion-style features: Does it claim feelings or a relationship? Does it discourage breaks or human help? What happens when a child mentions self-harm, abuse or an adult’s involvement—does it hand over to a human route the school controls? Can it be used on personal devices and home networks where your filtering does not reach?

Immediate safety first.

If there is a concern about imminent danger, coercion, exploitation, self-harm, an adult’s involvement, or a child’s immediate access to harmful material, stop using this site and activate your school’s emergency/safeguarding pathway. Do not crowdsource the case in a workshop.

SIX QUESTIONS · USE BEFORE A CASE DISCUSSION BECOMES A TASK LIST

Safeguarding lead decision prompt

1. Safety now

Is anyone at immediate risk or in need of urgent support?

2. Child’s account

What has been shared, and what does the child need now?

3. Risk context

Is there coercion, adult involvement, image-based harm, exploitation or self-harm?

4. Authorised route

Which local internal, emergency, authority or specialist route applies?

5. Evidence boundary

What belongs in the approved record, and what must not be viewed, copied or circulated?

6. Follow-through

Who owns the next check-in, family decision and wellbeing support?

This is a prompt for professional judgement—not an automated threshold or substitute for local policy.

First responseDoDo not
ReceiveStay calm; thank the child/adult for speaking; listen; explain that you will share only with people who need to help.Promise confidentiality, express shock, blame, or ask a child to repeat their account to multiple adults.
StabiliseCheck immediate safety and follow your local threshold/referral process. Preserve only the facts your approved system requires.Conduct your own investigation, interview alleged perpetrators, or search a child’s private account without authorised process.
RecordRecord a factual, time-stamped account in the school’s approved safeguarding system and share it with the designated lead/deputy as policy requires.Type names, images, URLs, screenshots or a case narrative into this site, a shared document, a slide deck, email chain or personal notes.
Image-based concern (real, altered or AI-generated)Treat AI-generated, “nudified” and deepfake images of a child exactly as you would a real image: use your local protocol; seek specialist/police direction where appropriate; consider safe removal/reporting routes and child support. Do not let “it isn’t a real photo” lower the response.Ask a child to forward, show, download, copy, screenshot or delete material before receiving appropriate advice. Do not circulate it among staff.
Sextortion or coercionTreat as urgent. Reassure the child they are not in trouble and that this is a known crime pattern. Advise: stop replying, do not pay or send anything more, do not delete the account or chat (it may be needed), and tell the safeguarding lead now. Use specialist removal routes where available (e.g. NCMEC Take It Down for images of under-18s) and check for self-harm risk the same day.Look at, request or copy the images; tell the child to “just block and forget it”; wait for the next lesson; or treat a demand to self-harm, hurt others or recruit friends as a lesser concern than an image demand.
A · GOVERNANCE

What should be true

  • A lead, deputy and senior decision-maker are named and known.
  • Cover is real, not assumed: a monitored, confidential shared safeguarding mailbox and a rota mean a concern is never waiting on one person’s inbox during absence or turnover.
  • Board/governor oversight tests evidence, not just policy existence.
  • Local referral, emergency and language-access routes are documented and rehearsed.
  • Safeguarding, pastoral, IT and data-protection leads meet on a predictable cadence.
B · CULTURE

What children should experience

  • Age-appropriate teaching about consent, relationships, privacy, manipulation and help-seeking.
  • Trusted adults and complaint/reporting routes that children can name.
  • Responses that avoid victim-blaming and are proportionate to context.
  • Student voice that changes provision and is closed back to students.
C · RECORDS & DATA

What must stay separate

  • Planning and trend analysis use aggregated or redacted data.
  • Formal case facts live only in the approved safeguarding record.
  • Retention, access and transfer follow school policy and local requirements.
  • Any AI/vendor review includes the data-protection owner.
  • Cyber security is a safeguarding duty: a breach of student data is a child-protection event, not only an IT one.
D · TECHNOLOGY

What needs assurance

  • Filtering/monitoring is reviewed at least once every academic year, led by a named senior leader with the safeguarding lead and IT, with a formal record of which devices and locations were tested, what was found and what was fixed—including how AI tools behave behind the filter.
  • AI/app decisions consider manipulation, social/emotional development, privacy, reporting and accessibility.
  • Technical signals are understandable to safeguarding colleagues.
  • Home devices, apps and network limitations are recognised as blind spots, not ignored.
AI assurance gate:

Before any AI tool is enabled for students, the safeguarding lead, edtech lead and data-protection owner should be able to record: intended age group and educational benefit; data entered, retained and transferred; age/account controls; content and emotional-reliance safeguards; AI-content labelling; reporting and human escalation; accessibility and bias; family/student communication; named approver and review date. If this cannot be evidenced, do not proceed.

The DfE’s January 2026 update to its generative-AI product safety standards adds four tests worth borrowing verbatim for any vendor conversation: cognitive development, emotional and social development, mental health and manipulation. Ask the vendor to show you—not tell you—how the product performs on each.

CHATBOTS & COMPANION FEATURES · SIX QUESTIONS

Before a conversational AI reaches a child

1. Persona

Does it claim feelings, memory of the child, or a relationship? Can that be switched off for under-18s?

2. Dependence

Does it prompt breaks and real-world contact, or reward return visits?

3. Crisis handover

When a child mentions self-harm, abuse or an adult’s involvement, what exactly happens—and does it reach a human the school controls?

4. Age truth

How does it know the user is a child? Does the answer survive a shared family device?

5. Reach

Is it on personal phones and home networks where school filtering never sees it?

6. Local law

Does it meet host-country minors’ rules (in mainland China: guardian consent under 14, minors mode, no virtual-relationship services to minors, AI-content labelling)?

Safeguarding assurance review

Use this only as a governance prompt. It is not saved, submitted or shared.

06 / Harm radar · October 2026

Know the pattern, not every app.

Apps and slang change every term. Patterns change slowly. These six cards describe the patterns safeguarding teams across the UK, Australia, Asia and the US are most concerned about in 2026, with one school move each. Use them to brief staff, not to frighten students.

Awareness, not investigation.

Nothing here asks staff to search for, join, view or test harmful spaces or material. If a concern involves a child, route it through your safeguarding process.

01 · MISOGYNY & THE MANOSPHERE

From “just banter” to a worldview

KCSIE 2026 now names misogyny/misandry as a form of harmful sexual behaviour, and England’s updated RSHE guidance requires secondary teaching on incel culture, the manosphere, deepfakes and pornography. In UK data published with that guidance, 54% of 11–19s had heard comments they would call misogynistic in the past week. Content often arrives as self-improvement, dating strategy, fitness or humour, then moves into private groups.

Why international schools need their own version: the ideas travel across languages, but the wrapping changes. A staff team that only knows the English vocabulary will miss most of it.

FramingEnglish-language wrappingChinese-language wrapping (examples)What staff may notice
“Red pill”
“I’ve seen the truth”
Hypergamy, “dating market”, SMV (sexual market value), “high-value man”, “frame control”情感挽回 (relationship-“recovery” coaching), 价值 / 身价 (personal “market value”), 形象管理 (looks-maxxing)Influencer clips presented as “science” in debates; relationship “tests” offered as advice
“Blue pill”
“Still asleep”
Mocking allies, teachers and equality teaching as naïve; “simp”, “normie”女拳 / 田园女权 (pejoratives for feminists); 软弱 (“too soft”)Students dismissing consent or equality lessons as an “agenda”; moving to private groups after a creator is banned
“Black pill”
“It’s hopeless”
Genetic determinism, “it’s over”, nihilistic or hostile humour黑化 (“going dark”), 觉醒但无解 (“awake, but no way out”)Hopelessness, self-contempt or contempt for others framed as a joke—treat as a wellbeing signal, not only a behaviour one

School move: Challenge the phrase, not the child. Use restorative questions—“Where did you hear that?”, “What makes you trust that view?”, “Who benefits if you believe it?”—and escalate when language becomes targeted, coercive or hopeless. Rebuild the table each year with students and local-language colleagues; it dates fast.

02 · SEXTORTION

Hours, not days

Financial sextortion most often targets boys aged 14–17, usually via a fake peer profile that sends an image first, then demands money. Threats can escalate within hours, and AI now lets offenders threaten to fabricate images when none exist. Thorn’s analysis of NCMEC reports found more than 1 in 6 cases that described impacts mentioned self-harm or suicide.

School move: Teach the script before it is needed—“stop, don’t pay, don’t delete, tell”—and say explicitly that students will not be punished for having shared an image. See the response row on the Safeguarding lead tab.

03 · SADISTIC & NIHILISTIC NETWORKS

Coercion toward harm, not just images

Police in the UK, US and Canada warn of loosely organised networks (often referred to as “The Com”, including the group known as 764) that groom children aged roughly 8–17 on gaming, chat and streaming platforms, then coerce self-harm, cruelty to animals or harm to others. The UK National Crime Agency reported a sixfold rise in reports in two years (2025).

School move: Make sure pastoral and safeguarding staff know the signs police list: fixation on a new online group or contact, sudden secrecy, self-harm, harm to pets, and talk of “proving” loyalty. This is a police-level concern—route it immediately; do not look for the content.

04 · AI & MENTAL HEALTH

The chatbot gives the wrong number

When researchers at Wrocław Medical University tested 29 popular mental-health chatbot apps with suicide-risk prompts (2025), none met their criteria for an adequate response; the most common failure was giving incorrect emergency numbers. KCSIE 2026 now states plainly that mental-health concerns, including self-harm and eating disorders, can be safeguarding concerns.

School move: Put correct local emergency and support contacts wherever students look—planner, LMS, device lock screen, bathroom doors—in every language your community uses. Teach the “empathy gap”: a chatbot can sound caring but cannot act.

05 · GAMING & IN-GAME ECONOMIES

Where friendship and grooming overlap

Gaming platforms remain a primary route for contact risk: free-currency scams (“free Robux” and equivalents), offers of in-game help or gifts, and moves to voice chat or private servers. Grooming usually starts friendly before it becomes uncomfortable, and offenders are not always adults or strangers.

School move: Teach the “friendly first” pattern and the platform’s own block/report route. Ask families which games and servers children use—most adults do not know.

06 · CODED LANGUAGE & EMOJI

Teach staff to ask, not decode

Emoji and slang shift monthly, and meanings differ across cultures. Research on Chinese-language messaging, for example, finds the slightly smiling face 🙂 is often read as contempt or sarcasm rather than friendliness. Some terms that sound violent are used casually; some that look innocent carry drug, self-harm or hate meanings.

School move: Do not publish static “emoji dictionaries” to staff—they are out of date within a term and encourage surveillance. Instead, run a short student-led “what’s changed?” session each term, and train staff in one question: “What does that mean to you?”

ON THE HORIZON

Watch, don’t panic

  • AI-enabled toys with persistent personalities for young children (eSafety, 2026).
  • Agentic AI that can plan and act, not only answer.
  • AI influencers promoting body comparison and extreme diet or fitness content.
  • Camera-equipped smart glasses and the end of “I’d see if someone was filming.”
  • Nudification at scale: UNICEF’s February 2026 study across 11 countries found at least 1.2 million children reported their images had been made into sexual deepfakes—in some countries, about one child per classroom.
07 / Families & student voice

Talk, don’t only ban.

UNESCO’s June 2026 family guide, Growing Up in a Connected World, puts it plainly: restrictions may help in specific contexts, but lasting protection comes from children who understand and question what they use—and from adults they will actually talk to. Families are the partner most schools under-use.

THE GAP

Most children haven’t had the AI talk

Over 40% of US 9–17s have never discussed AI safety with a parent (Common Sense, 2026). In the UK, 62% of parents worry about AI accuracy but only 34% have talked with their child about judging whether AI content is true (Internet Matters, 2025).

WHAT STUDENTS SAY

“Communicate, not ban.”

When schools run anonymous student surveys, a common pattern is that most students feel neutral or positive about tech rules—and the advice they give parents is to model good habits and talk rather than confiscate. Run your own; the quotes will be more persuasive to your families than any national statistic.

WHAT WORKS

Co-created rules last longer

Research on adolescent online safety consistently finds autonomy-supportive approaches—agreeing rules together, modelling, reflecting after mistakes—build more trust and self-regulation than restriction alone, which tends to increase conflict.

Family talk sheet · 家庭沟通卡

Print double-sided for parent sessions. Families circle the line they say most often and practise the alternative.

Instead of / 不要这样说Try / 可以这样说Why / 为什么
“Why did you do that?”
“你为什么要这么做?”
“Can you show me what you were trying to do?”
“能给我看看你当时在做什么吗?”
Curiosity instead of blame keeps the door open for the next, bigger problem.
“That app is dangerous—delete it.”
“那个软件太危险,删掉它。”
“Let’s look together at what’s safe or not about it.”
“我们一起看看这个软件是否安全。”
Turns prohibition into shared learning.
“Don’t talk to strangers online.”
“不要和陌生人聊天。”
“How can you tell if someone online is who they say they are?”
“你怎么判断网友是不是他说的那个人?”
Builds judgement for situations you will never see.
“Stop asking that AI everything.”
“别什么都问AI。”
“What did it tell you? How could we check?” and “Is there anything you’d rather ask a person?”
“它告诉你什么了?我们怎么核实?有什么你更想问真人的吗?”
Models verification and keeps you on the list of people they ask.
“If anything bad happens, you lose your phone.”
“出事了就没收手机。”
“If something goes wrong online, you will not be in trouble for telling me.”
“网上出了问题,告诉我你不会挨骂。”
The fear of losing the device is the most common reason children don’t report sextortion or bullying.

Conversation cards for home

A light-touch way to start the conversation before there is a problem. Send one card a week, in every home language, and invite families to share what they chose.

FAMILY · 家庭

“How does technology make our lives better—and how can it make them harder?”

AI · 人工智能

“If you could design an AI assistant, what three things would you want it to help with—and what should it never do?”

CREATIVITY · 创造力

“If you were a famous content creator, what would you want to be known for?”

Start early, grow with them

Age bandAI and online-safety focusStudent makes / does
3–6Adults use AI on children’s behalf; no child accounts. “A computer can help, but it isn’t a person.” Early language for feelings about technology and for telling a grown-up.Spots the “helper” icon on teacher-made materials; tells a story about a robot that gets it wrong.
7–11Supervised, teacher-visible AI tools only. Privacy (“don’t tell a chatbot what you wouldn’t tell a stranger”), bias, checking answers, emotional reliance (“does it really understand you?”).A digital-citizenship journal; a comic about a tricky online moment; labelling their own AI-assisted work.
11–14The phone transition. Grooming patterns in games, image sharing and sextortion scripts, misogyny and influencer framing, chatbot empathy gap.Builds a fake groomer profile to learn the red flags; runs a “should this spread?” post game; writes the class AI rules.
14–18Deepfakes and consent, radicalisation pathways, AI and mental health, disclosure and transparency in assessed work, digital footprint for university and work.Designs a corridor campaign; writes a “context protocol” for an AI tool; leads a session for younger students or parents.
Amplify student voice, safely.

The most powerful e-safety resources in a school are often the ones students make: a simulation they designed, a poster they would actually look at, a younger-student lesson they lead. Give students the brief, the boundary (no real cases, no real people) and an audience. Then tell them what changed because of it.

08 / Regional guide · October 2026

Regional guide: use the right reference for the place.

These short cards are practical context, not legal advice. Before use, every school should verify its country/city referral, emergency, data-protection and language-access arrangements.

Do not import another country’s procedure.

Use these developments to ask better safeguarding and procurement questions. Follow your own school policy and host-country requirements for reporting, evidence, contact with families and emergency action.

Start where most ACAMIS schools are.

Most attendees work in mainland China, where the minors’ online-protection framework is now one of the most specific in the world. Two practical consequences: students’ everyday AI use is often on domestic apps rather than the tools your policy names, and the legal floor for under-14 data and companion-style AI is higher than many imported policies assume.

CHINA · MINORS ONLINE

The baseline every mainland school inherits

The Regulations on the Protection of Minors in Cyberspace (in force since 1 January 2024) sit alongside PIPL, which treats personal information of children under 14 as sensitive and requires guardian consent. Platforms are expected to offer a “minors mode” with time limits and age-tiered content.

School move: Audit which AI apps students actually use (domestic and international), whether accounts are age-declared, and what your under-14 consent and data-transfer position is for each tool you approve. Ask families what “minors mode” looks like at home.

Official summary (English)
CHINA · AI COMPANIONS

Anthropomorphic AI safeguards

China’s Interim Measures for Anthropomorphic AI Interaction Services have been in force since 15 July 2026. Article 14 prohibits providers from offering minors virtual relatives, virtual lovers or other virtual intimate-relationship services, requires guardian consent for under-14s to use other anthropomorphic services, and expects a minors mode, dependence warnings and reminders that the user is talking to an AI.

School move: Do not introduce companion-like AI without age/guardian controls, emotional-reliance risk assessment, real-world usage prompts, pastoral escalation, data review and family communication. Also verify applicable AI-content labelling requirements before use.

CAC explanatory material (Chinese) · AI-content labelling measures (Chinese)
CHINA · AI IN SCHOOLS

Age-tiered generative-AI use

The Ministry of Education’s 2025 guidelines on AI general education and on generative-AI use in primary and secondary schools set an age-tiered approach: primary pupils should not use generative AI independently without teacher supervision; middle-school students may use it to explore and analyse; high-school students for inquiry and research. The guidance also warns against over-reliance that weakens independent thinking.

School move: Compare your own AI-use rules by age band against this floor. Many imported policies only distinguish “under 13” and “over 13”; a three-tier model (supervised / guided / independent with disclosure) is easier to explain to families and maps onto local expectations.

Government summary (English)
SINGAPORE · PLATFORM ACCOUNTABILITY

Age-appropriate access and reporting

Singapore’s online-safety codes require designated services to minimise exposure to harmful content and provide usable reporting. The Code of Practice for Online Safety for App Distribution Services (in force since 31 March 2025) requires app stores to use age assurance to limit young people’s access to age-inappropriate apps.

School move: Ask whether your own app approval and family guidance make age ratings, reporting routes and harm-response expectations equally clear.

IMDA press release
AUSTRALIA & UK · AGE LIMITS

The under-16 debate is now policy

Australia’s social-media minimum age of 16 has applied to designated platforms since December 2025, and the UK opened a national consultation in March 2026 on options from 13 to 16, on restricting high-risk features, and on safeguards for AI chatbots. Expect parents in your community to arrive with strong views formed elsewhere.

School move: Do not wait for a law to set your own community norms. Publish a clear, age-tiered position on accounts, companion-style AI and phones, and explain the reasoning to families in their languages.

eSafety Commissioner · UK consultation
PLATFORMS · TEEN MODES

Vendor safeguards are arriving—unevenly

In August 2026 OpenAI launched a ChatGPT experience for 13–17s with age prediction, parental controls, reduced anthropomorphism and break reminders. Useful—but it covers one product, relies on age signals, and says nothing about the companion apps and domestic tools children use on personal phones.

School move: Treat a vendor’s teen mode as one control, not an assurance. Verify it is actually active on your students’ accounts and devices, and keep your human reporting route in front of it.

Coverage (Axios)
KOREA · DIGITAL SEXUAL HARM

Specialist response—not school surveillance

Korea’s AI Framework Act has been in force since 22 January 2026. Seoul also launched the Safety ON Center for online sexual exploitation of children and youth in February 2026.

School move: Map specialist support, reporting and takedown routes locally. Do not treat city-level AI monitoring as a model for schools to monitor private student communications.

Seoul Safety ON Center
THAILAND · MULTI-AGENCY RESPONSE

Local roles and child-centred support

Thailand’s 2025 Child Online Safety Guidelines help officials identify online risk, manage crises, navigate legal procedure and support affected children and young people.

School move: Confirm who holds each local role before an incident: safeguarding lead, emergency contact, authority/police referral, specialist support, counselling and interpreter access.

UNICEF Thailand guidance
GLOBAL BASELINE

Children’s rights in AI

Use UNICEF’s 2025 Guidance on AI and Children v3.0 as the common assurance framework. It covers safety, privacy, fairness, transparency, wellbeing, inclusion, AI literacy and enabling conditions—and directly addresses AI companions and AI-generated sexual harm.

UNICEF Guidance on AI and Children v3.0
SWITZERLAND · EDUCATION CONTEXT

Decentralised, data-conscious implementation

In Switzerland, compulsory-education curriculum responsibility sits with the cantons. Use this as a reminder to adapt AI practice to local education and data-governance structures rather than assume a single national school procedure.

Swiss SERI reference
09 / Evidence & resources

Use the strongest framework for the job.

These are reference standards and evidence sources, not a substitute for host-country law or local policy. For international schools, start with child rights and governance, then map to local referral, data and reporting requirements.

Frameworks to model

UN Committee on the Rights of the Child — General Comment No. 25A globally relevant child-rights frame for participation, protection, privacy, access, evolving capacities and remedies in the digital environment.
Read General Comment No. 25 (2021)
UNICEF — Guidance on AI and Children v3.0 and Checklist (2025)Ten requirements, from safety and data protection to AI literacy and an enabling environment; explicitly addresses chatbots/companions and AI-enabled abuse. The checklist is the version to put in front of a leadership team.
Guidance · Checklist (PDF)
International Task Force on Child Protection (ITFCP)International-school governance and community-resource expectations; especially useful where referral infrastructure differs from a school’s home system.
Explore ITFCP resources
DfE Generative AI product safety standardsA practical vendor-assurance reference. The January 2026 update includes cognitive, emotional/social development, mental health and manipulation.
Read the 2026 standards
DfE filtering and monitoring core standardUseful operational benchmark: annual review, joint leadership/DSL/IT responsibility, and consideration of AI-generated, dynamic and personalised content.
Read the standard

Recent evidence and response guidance

Ofcom — Children and parents: media use and attitudes, 2026 (published 21 May 2026)Current UK evidence: 11% of 8–17s have used AI as a friend or someone to talk to; smartphone ownership jumps from 56% to 83% between ages 10 and 11; 73% of 11–17s have met harmful content; 81% of children feel safe online while under half of parents think benefits outweigh risks. Label it as UK evidence; use local voice to establish transferability.
Read the report
UKCIS / DfE — Sharing nudes and semi-nudes, 2024A strong practice model for proportionate, child-centred response, handling devices/images and parent involvement; adapt to local protocol and law.
Read the advice
Common Sense Media — Teens, tweens and AI, 2026 (published 8 June 2026)US survey of 1,204 9–17s: 86% use AI and about a quarter use it daily; a third have used it to talk about feelings or problems; 16% met inappropriate content through a chatbot and only a third told an adult; schools were more likely to discuss rules (75%) than teach safe practice (50%). Use for the “rules vs. skills” argument.
Read the report
Internet Matters — Children’s experiences of nude deepfakes (2024) and nudification research (2025–26)13% of UK teens had some experience of nude deepfakes; 92% wanted schools to teach about them; only 6% had been taught about nude deepfakes specifically. A strong basis for making deepfakes an explicit curriculum and policy item.
Read the research
Internet Watch Foundation — Harm without limits, 2026 (published 24 March 2026)8,029 AI-generated abuse images and videos identified in 2025 (+14%); AI videos rose from 13 to 3,443; 65% of AI videos were the most severe category. Use to inform safeguarding and reporting preparedness, not to sensationalise classroom teaching.
Read the report
Žmavc et al. — school-based interventions, 2025Systematic review/meta-analysis: school programmes show stronger effects on problematic digital technology use than on total screen time—supporting a focus on judgement, routines and help-seeking rather than time alone.
Read the study

Global and regional voices (added v4.3)

UNICEF — sexual deepfakes of children, 11-country study (4 February 2026)At least 1.2 million children reported their images had been manipulated into sexually explicit deepfakes; in some countries about one child per classroom of 25. UNICEF states AI-generated sexualised images of children are child sexual abuse material.
Coverage
UNICEF — children and AI, multi-country study (30 June 2026)Children are adopting AI faster than adults; about one in ten respondents turn to AI for advice on personal difficulties, and a quarter fear their images could be used to make sexual deepfakes.
Coverage
UNESCO & CLEMI — Growing Up in a Connected World: A Family Guide for the Digital Age (June 2026)Conversation starters and activities for families on social media, AI, gaming, privacy and wellbeing; English, French, Spanish. Core message: understanding outlasts restriction.
Launch coverage
eSafety Commissioner (Australia) — Talking to machines (2026)1,950 10–17s: 78% had used an AI assistant; half of assistant users used it for personal or social reasons; 20% had potentially harmful interactions; 32% had shared personal or sensitive information.
Read the research · AI companions sheet for educators (PDF)

Practice sources for schools

Internet Matters — Me, Myself & AI (July 2025)64% of UK 9–17s use chatbots; 35% of users say it is like talking to a friend (50% of vulnerable children); 12% use them because they have no one else to talk to (23% of vulnerable children).
Read the report summary
Tes — “Pupils are confiding in AI chatbots: these are the warning signs” and Top 5 DSL Priorities 2026Practical warning signs (calling a chatbot a friend, withdrawal, emotional reliance) and a DSL briefing linking AI, misogyny and mental health as the three fastest-growing areas of the remit.
Read the Tes analysis
FOBISIA — Feeling Supported: Safeguarding Conference (Hong Kong, 23 May 2026)Regional safeguarding programme for international schools, including online safety with Kirra Pendergast (Safe on Social / Ctrl+Shft) and the Breck Foundation on gaming-related grooming. A useful peer network for Asia-based DSLs.
Programme
Thorn — financial sextortion researchBoys 14–17 are the most targeted group; escalation within hours; scripts and resources for young people and families.
Read the research · NCMEC Take It Down
Current AI baseline (September 2026):

Use UNICEF’s Guidance on AI and Children v3.0 to structure product and policy assurance, alongside local duties and your school child-protection policy. For England-based reference, see KCSIE 2026 and Working Together 2026.

Beijing/China context:

Make the site’s final published version bilingual where families need it, add locally verified referral/emergency contacts, and review any personal-data or cross-border-data implications before deployment. China’s Regulations on the Protection of Minors Online provide important local context; they should be interpreted with appropriate local expertise. Official summary.

Legal-status reminder—and what KCSIE 2026 actually changed:

England’s KCSIE and DfE materials are strong reference standards, not automatically the governing rule for an international school. KCSIE 2026 (published 9 July, in force 1 September 2026) is worth reading for five specific moves that travel well: “nudes and semi-nudes” now explicitly includes AI-generated and digitally altered images; the 4Cs “contact” risk now names AI chatbots and companion-style systems; filtering and monitoring must be reviewed at least every academic year, led by a named senior leader with the DSL and IT and with formal records across all devices and locations; DSL cover must be robust, including a monitored confidential shared mailbox; and cyber security is framed as a safeguarding duty. Official publication.