Jurors take an oath to make rulings without bias or prejudice, but a new study suggests that promise is broken when the death penalty is on the table. Researchers from Columbia University on Thursday revealed that the shape of defendants' facial features affects whether they are sentenced to death or given life in prison. Hundreds of mugshots of Florida inmates who were convicted of murder were shown to a mock jury in the experiment. Certain facial features – such as downturned lips and heavy eyebrows – were judged to be more untrustworthy and more likely to be sentenced to death. Hundreds of mugshots of Florida inmates who were convicted of murder were shown to a mock jury in the experiment.

A faux-rap song that features the AI-generated voice of Donald Trump defending himself against the criminal indictment out of Georgia has jumped to the No. 2 spot on the iTunes rap chart. Hi-Rez the Rapper, who describes himself as a radical freedom extremist, released the song on August 25, one day after Trump posted his August 24th mugshot to X (formerly Twitter). The song has been viewed nearly 3million times on X, and has shot to the top of the Hip-Hop charts since its release. The digital imitation of the former president's voice is nearly identical to the real-life 2024 candidate's. In the song, Hi-Rez imagines how Trump responded to being booked and released on bond on charges of attempting to overturn the 2020 election in Georgia.

The former president is set to be arraigned by the Manhattan district attorney on Tuesday. A number of media outlets issued a warning to Americans in advance of Donald Trump's arraignment in New York City, telling them that fake mugshots of the former president may soon flood the internet. Time told Americans that the source of a fake mugshot of Trump might come from "online pro-Trump groups," also sharing reputed comments from internet forums. "'Let's make our own version and circulate it!' one person posted on a popular pro-Trump forum. 'No one will know what's real!' Another person posted'If they don't release the mugshot immediately, just stage a mugshot as to not hold up any billboards, t-shirts, posters, or fundraising drives,'" according to the magazine.

Fox News Flash top headlines for June 5 are here. Check out what's clicking on Foxnews.com A government watchdog says the FBI has access to about 640 million photographs -- including from driver's licenses, passports and mugshots -- that can be searched using facial recognition technology. The figure reflects how the technology is becoming an increasingly powerful law enforcement tool, but is also stirring fears about the potential for authorities to intrude on the lives of Americans. It was reported by the Government Accountability Office at a congressional hearing in which both Democrats and Republicans raised questions about the use of the technology.

The FBI has failed to appease concerns about the use of its facial recognition technology in criminal investigations. Multiple issues were raised three years ago after a congressional watchdog urged the bureau to improve its practices in order to meet privacy and accuracy standards. The FBI - and other US law enforcement agencies - have been using the Next Generation Identification-Interstate Photo System since 2015. It uses facial recognition software to link potential suspects to crimes from a vast database of 30 million pictures, including mugshots. The report slamming the FBI for its failure to moderate the software comes as the bureau increases its use of the technology.

In Washington County, Oregon, sheriff's deputies use a mobile app to send photos of suspects to Amazon's cloud computing service. The e-commerce giant's algorithms check those faces against a database of tens of thousands of mugshots, using Amazon's Rekognition image analysis service. Such use of facial recognition by law enforcement is essentially unregulated. But some developers of the technology want to change that. In a blog post Thursday, Amazon asked Congress to put some rules around the use of the technology, echoing a call by Microsoft in December.

According to the US Government Accountability Office, the Federal Bureau of Investigation's database contains over 30 million mugshots of criminals and ID card images from 16 states. This is just one of many law enforcement databases which also contain further identity information, including fingerprints and text data. With needs to improve investigation times and streamline the task of matching suspect images within a pool of numerous identities, government officials, law enforcement offices, and commercial vendors are researching how AI, specifically computer vision, can be used to improve facial recognition. Through our research, we aim to show insights on how various law enforcement agencies and companies are implementing facial recognition technologies. Readers interested in AI for law enforcement might be interested in our founder's presentation at a joint INTERPOL-UN conference on AI in law enforcement given in the summer of 2018.

In a report published Thursday, the American Civil Liberties Union found that Amazon's facial recognition software mistakenly matched 28 U.S. Congresspeople to photos from a mugshot database. The software--which is already in use by some police departments--was disproportionately inaccurate in identifying people of color. In the test, the ACLU used Amazon's Rekognition software to compare photos of the 535 members of the House and Senate to a database of 25,000 mugshots, for an overall inaccuracy rate of 5%. But while only 20% of the members of Congress are non-white, about 40% of the falsely ID'd legislators were men and women of color. The potential outcomes of such misidentifications in life-or-death police encounters are terrifying to consider.

Amazon touts its Rekognition facial recognition system as "simple and easy to use," encouraging customers to "detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases." And yet, in a study released Thursday by the American Civil Liberties Union, the technology managed to confuse photos of 28 members of Congress with publicly available mug shots. Given that Amazon actively markets Rekognition to law enforcement agencies across the US, that's simply not good enough. The ACLU study also illustrated the racial bias that plagues facial recognition today. "Nearly 40 percent of Rekognition's false matches in our test were of people of color, even though they make up only 20 percent of Congress," wrote ACLU attorney Jacob Snow.

Amazon's online facial recognition system incorrectly matched pictures of US Congress members to mugshots of suspected criminals in a study by the American Civil Liberties Union. The ACLU, a nonprofit headquartered in New York, has called for Congress to ban cops and Feds from using any sort of computer-powered facial recognition technology due to the fact that, well, it sucks. Amazon's AI-powered Rekognition service was previously criticized by the ACLU when it revealed the web giant was aggressively marketing its face-matching tech to police in Washington County, Oregon, and Orlando, Florida. Rekognition is touted by the Bezos Bunch as, among other applications, a way to identify people in real time from surveillance camera footage or from officers' body cameras. The results from the ACLU's latest probing showed that Rekognition mistook images of 28 members of Congress for mugshots of cuffed people suspected of crimes.