DNA face to facial recognition in attempt to find suspect

In an effort to find a suspect in a 1990 murder, there was a police request in 2017 to use a 3-D rendering of a face based on DNA. For Wired, Dhruv Mehrotra reports:

The detective’s request to run a DNA-generated estimation of a suspect’s face through facial recognition tech has not previously been reported. Found in a trove of hacked police records published by the transparency collective Distributed Denial of Secrets, it appears to be the first known instance of a police department attempting to use facial recognition on a face algorithmically generated from crime-scene DNA.

This seems like a natural progression, but it should be easy to see how the pairing of the tech could cause all sorts of issues when someone’s face is poorly constructed and then misclassified with facial recognition. What’s the confidence interval equivalent for a face?

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When you don’t own your face

For The New York Times, Kashmir Hill describes the implications of facial recognition becoming a thing that everyone just has:

Retail chains that get their hands on technology like this could try to use it to more effectively blacklist shoplifters, a use Rite Aid has already piloted (but abandoned). In recent years, surveillance companies casually rolled out automated license-plate readers that track cars’ locations, which are frequently used to solve crimes; such companies could easily add face reading as a feature. The advertising industry that tracks your every movement online would be able to do so in the real world: That scene from “Minority Report” in which Tom Cruise’s character flees through a shopping mall of targeted pop-up ads — “John Anderton, you could use a Guinness right about now!” — could be our future.

No thank you.

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Public agencies using facial recognition software without oversight

An anonymous source supplied BuzzFeed News with usage data from Clearview AI, the facial recognition service that was banned by many police departments nationwide. Many agencies still used and/or tried it:

The data, provided by a source who declined to be named for fear of retribution, has limitations. When asked about it in March of this year, Clearview AI did not confirm or dispute its authenticity. Some 335 public entities in the dataset confirmed to BuzzFeed News that their employees had tested or worked with the software, while 210 organizations denied any use. Most entities — 1,161 — did not respond to questions about whether they had used it.

Still, the data indicates that Clearview has broadly distributed its facial recognition software to federal agencies and police departments nationwide, offering the app to thousands of police officers and government employees, who at times used it without training or oversight. Often, agencies that acknowledged their employees had used the software confirmed it happened without the knowledge of their superiors, let alone the public they serve.

BuzzFeed News also made a searchable table so you can see if your local agencies are on the list.

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Algorithm leads to arrest of the wrong person

Even though there was supposedly a person in the decision-making process and a surveillance photo wasn’t actually Robert Julian-Borchak Williams, he still ended up handcuffed in front of his own home. Kashmir Hill reporting for The New York Times:

This is what technology providers and law enforcement always emphasize when defending facial recognition: It is only supposed to be a clue in the case, not a smoking gun. Before arresting Mr. Williams, investigators might have sought other evidence that he committed the theft, such as eyewitness testimony, location data from his phone or proof that he owned the clothing that the suspect was wearing.

In this case, however, according to the Detroit police report, investigators simply included Mr. Williams’s picture in a “6-pack photo lineup” they created and showed to Ms. Johnston, Shinola’s loss-prevention contractor, and she identified him. (Ms. Johnston declined to comment.)

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How police use facial recogntion

For The New York Times, Jennifer Valentino-DeVries looked at the current state of facial recognition in law enforcement:

Officials in Florida say that they query the system 4,600 times a month. But the technology is no magic bullet: Only a small percentage of the queries break open investigations of unknown suspects, the documents indicate. The tool has been effective with clear images — identifying recalcitrant detainees, people using fake IDs and photos from anonymous social media accounts — but when investigators have tried to put a name to a suspect glimpsed in grainy surveillance footage, it has produced significantly fewer results.

Not quite CSI levels yet, huh.

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