If an AI Deepfake Targets a Child, Do These Things First

Matthew Leo · Published October 9, 2026 · Guides

A parent and teenage daughter sit together at a kitchen table with a face-down phone.

The number of AI-generated child sexual abuse images identified by the Internet Watch Foundation is rising sharply. The organization says it found 6,310 images that met the legal threshold in the first half of 2026, compared with 4,512 in all of 2025.

Those figures describe material assessed by the IWF, not the total amount circulating online. They still show why families and schools need a response plan before an incident lands in a group chat.

If a fake sexual image targets a child or teenager in Canada, the priority is the child's safety. It is not proving that the image is fake to every person who received it.

Do not download or forward the image

Do not save extra copies, resend the file for advice or ask the young person to show it repeatedly. Moving sexual material involving a minor can spread the harm and create legal risk.

Preserve information around the post instead. Record the account name, page address, date and time, platform, conversation name and any non-explicit messages that show threats or distribution. If taking a screenshot would capture the sexual image itself, use the reporting service's instructions before doing so.

Tell the child what happens next

A young person may fear punishment, school gossip or losing access to their phone. Make clear that the priority is stopping the spread, not blaming them. Avoid promising that every copy can be erased; promise instead that an adult will help with reporting, support and follow-up.

If there is an immediate threat to the child's safety, call 911. Kids Help Phone is available across Canada at 1-800-668-6868, and young people can text CONNECT to 686868.

Report it through Canadian channels

A school should not handle the incident as ordinary teasing. The Canadian Centre for Child Protection has a school response guide for non-consensual distribution of intimate images that covers both authentic and synthetic material.

Why speed matters, and what it cannot solve

The IWF says 79 per cent of the AI-generated images in its first-half dataset depicted children aged seven to 13. It also notes a technical limitation: hash matching can help platforms detect known images only after analysts have identified and fingerprinted them. Newly generated material may not match anything in an existing database.

That is why a report still matters even when a platform claims to scan uploads. Human reports can identify a new image, connect related accounts and start a removal process.

What parents and schools should avoid

Cybertip.ca's deepfake guidance stresses that fake images can cause real harm. The useful distinction is not between “real” and “fake” abuse. It is between verified facts, unverified claims and the concrete steps that reduce distribution and support the child.

Tags: AI deepfakes, Cybertip.ca, NeedHelpNow.ca, image-based abuse, child protection

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