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This article was produced with support from WIRED.
Flock, the automatic license plate reader (ALPR) and AI-powered camera company, uses overseas workers from Upwork to train its machine learning algorithms, with training material telling workers how to review and categorize footage including images people and vehicles in the U.S., according to material reviewed by 404 Media that was accidentally exposed by the company.
The findings bring up questions about who exactly has access to footage collected by Flock surveillance cameras and where people reviewing the footage may be based. Flock has become a pervasive technology in the U.S., with its cameras present in thousands of communities that cops use everyday to investigate things like car jackings. Local police have also performed numerous lookups for ICE in the system.
Companies that use AI or machine learning regularly turn to overseas workers to train their algorithms, often because the labor is cheaper than hiring domestically. But the nature of Flock’s business—creating a surveillance system that constantly monitors U.S. residents’ movements—means that footage might be more sensitive than other AI training jobs.
Flock’s cameras continuously scan the license plate, color, brand, and model of all vehicles that drive by. Law enforcement are then able to search cameras nationwide to see where else a vehicle has driven. Authorities typically dig through this data without a warrant, leading the American Civil Liberties Union (ACLU) and Electronic Frontier Foundation (EFF) to recently sue a city blanketed in nearly 500 Flock cameras.
Broadly, Flock uses AI or machine learning to automatically detect license plates, vehicles, and people, including what clothes they are wearing, from camera footage. A Flock patent also mentions cameras detecting “race.”




Screenshots from the exposed material. Redactions by 404 Media.
Multiple tipsters pointed 404 Media to an exposed online panel which showed various metrics associated with Flock’s AI training.

Perhaps you spent the Thanksgiving holiday at the home of some members of your extended family. And perhaps you wanted to fire up the long-awaited new season segment of Stranger Things for that extended family, and in their home they watched TV with a Chromecast or something similar, and perhaps you had logged into your Netflix account on your phone. In this scenario we’ve just described, you probably would have left the holiday pretty frustrated had you tried to cast Stranger Things—or anything from Netflix.

Tom Stoppard has died. A multiple Tony Award winner for his work as a playwright—most famously Rosenkrantz & Guildenstern Are Dead, first staged in 1966, but also numerous other highly influential productions—Stoppard was also a prolific screenwriter. Although he won only a single Oscar over the course of a long career, for his script for Shakespeare In Love, Stoppard was a fixture both in and out of Hollywood, famously lending his occasional services as a script doctor amidst his more celebrated work on the stage. Per the BBC, Stoppard died on Saturday at his home in Dorset, in England. He was 88.
Born (as Tomáš Sträussler) to a Jewish family in what’s now the Czech Republic in 1937, Stoppard was just two years old when his family was forced to flee Europe to escape Nazi persecution. Raised for several years in Singapore and India before ultimately journeying to England (where he took his stepfather’s last name), Stoppard originally worked as a journalist. He transitioned into dramaturgy in the 1950s and 1960s, ultimately gaining national recognition when Rosenkrantz & Guildenstern debuted at the Edinburgh Fringe in ’66 and became a quick sensation. Blending Beckett, Shakespeare, and Stoppard’s own lifelong obsession with wordplay and verbal games, the play quickly swept multiple continents, making an international name out of the still-young former school dropout. A Broadway run that began in 1967 earned Stoppard the first of what would ultimately be five Tonys for Best Play. (The most recent, for Leopoldstadt, which tracked the historical fortunes of a Jewish family not dissimilar to Stoppard’s own, arrived in 2023.)
Zillow has stopped publishing climate risk ratings for sales listings that show the likelihood of properties being impacted by extreme weather, The New York Times reports. The feature introduced by the real estate listings site last year used data from risk-modeling company First Street to forecast which homes are most vulnerable to floods, wildfires, wind, extreme heat, and poor air quality, as climate conditions pose an increasing risk to properties.
The change came into effect earlier this month following complaints from the California Regional Multiple Listing Service (CRMLS) regarding the accuracy of First Street’s risk models. “Displaying the probability of a specific home flooding this year or within the next five years can have a significant impact on the perceived desirability of that property,” Art Carter, CRMLS chief executive officer, told The NYT.
Sales listings on Zillow now link users to First Street’s website instead, where they can manually find climate risk scores for specific properties. First Street data shows that millions more properties are at risk of flooding compared to government estimates.