The Department of Homeland Security collected data on Chicago residents accused of gang ties to test if police files could feed an FBI watchlist. Months passed before anyone noticed it wasn't deleted. On November 21, 2023, field intelligence officers within the Department of Homeland Security quietly deleted a trove of Chicago Police Department records. It was not a routine purge. WIRED has made this article free for all to read because it is primarily based on reporting from Freedom of Information Act requests. Please consider subscribing to support our journalism.

An invitation to a "candlelight" dinner held this past Saturday at President Donald Trump's Mar-a-Lago club asked prospective guests to spend 1 million per seat. Trump attended the dinner along with Elon Musk, according to multiple photographs and videos of the event viewed by WIRED. Elon Musk, wearing his standard uniform of a black sport coat over a black T-shirt, was seen shaking hands and waving to other attendees. He was with a woman wearing a floor length gown who appeared to be Shivon Zilis, according to Instagram Reels posted by multiple guests. Zilis, a Neuralink executive who previously sat on the board of OpenAI, is the mother of four of Musk's 14 known children.

Haiti police raid gang leader's stronghold in capital 3 hours agoShareSaveLeonardo RochaBBC World Service Americas regional editor Jaroslav LukivBBC NewsShareSaveReutersGang control in Port-au-Prince has led to an almost complete breakdown of law and order The government of Haiti says police have launched a large-scale operation in a shantytown controlled by powerful gang leader Jimmy Chérizier, who is widely known as Barbecue. The authorities say several gang members have been killed in the Lower Delmas area of the capital Port-au-Prince. Local reports say military drones carrying explosives are being used in the operation. He said it was the work of a special task force created two days ago to tackle insecurity.Reuters Jimmy'Barbecue' Chérizier has become one of the most powerful gang leaders in Haiti Chérizier, aged 47, is the feared leader of Viv Ansam (Live Together), a coalition of gangs that control much of the city. It is not clear whether Kenyan police officers deployed in Haiti last year to help fight the gangs are involved in the security operation.

A Los Angeles police lieutenant has filed a legal claim against the city, alleging his superiors ignored his warnings about misconduct in an anti-gang unit until it became a public scandal, leading to him facing termination. The claim, which typically serves as the precursor to a lawsuit, was brought this month by Lt. Mark Garza. It's the first litigation being pursued by a former member the Mission Division gang unit, whose officers came under investigation last year over allegations they illegally stopped and searched vehicles and stole from people they pulled over. Garza, who was in charge of the unit, said he reported his suspicion in June 2023 that some of his officers were conducting "ghost stops," which meant their actions could go unnoticed because they didn't document the encounters or turn on their body-worn or dashboard cameras and never informed police dispatch of where they were. At that time, Garza said, the department's body camera policy required supervisors to review only footage related to "complaints, use of force and pursuits."

With fewer officers on the streets, a Louisiana nonprofit is using security cameras to put more eyes on high-crime areas. NEW ORLEANS – In a two-story building at the University of New Orleans, over 10,000 video feeds from communities across the country are streaming at the speed of light. A small staff is watching these feeds, studying gang members and tracking drug deals in small towns and major cities. It's called Project NOLA, the largest network of community crime cameras in the U.S., and the only nonprofit in the security industry. "Just like the Red Cross and CrimeStoppers, we are in the business of helping people," said Executive Director Bryan Lagarde.

AI is being increasingly used to make important decisions. Many AI experts (including Jeff Dean, head of AI at Google, and Andrew Ng, founder of Coursera and deeplearning.ai) I am an AI researcher, and I'm worried about some of the societal impacts that we're already seeing. At the end, I'll briefly share some positive ways that we can try to address these. Before we dive in, I need to clarify one point that is important to understand: algorithms (and the complex systems they are a part of) can make mistakes. These mistakes come from a variety of sources: bugs in the code, inaccurate or biased data, approximations we have to make (e.g.

This article is part of the Policing and Technology Project, a collaboration between Future Tense and the Tech, Law, & Security Program at American University Washington College of Law that examines the relationship between law enforcement, police reform, and technology. On Sept. 18 at noon Eastern, Future Tense will host "Power, Policing, and Tech," an online event about the role of technology in law enforcement reform. Public scrutiny around data-driven technologies in the criminal justice system has been on a steady rise over the past few years, but with the recent widespread Black Lives Matter mobilization, it has reached a crescendo. Alongside a broader reckoning with the harms of the criminal justice system, technologies like facial recognition and predictive policing have been called out as racist systems that need to be dismantled. After being an early adopter of predictive policing, the Santa Cruz, California, became the first city in the United States to ban its use.

AI is being increasingly used to make important decisions. Many AI experts (including Jeff Dean, head of AI at Google, and Andrew Ng, founder of Coursera and deeplearning.ai) I am an AI researcher, and I'm worried about some of the societal impacts that we're already seeing. At the end, I'll briefly share some positive ways that we can try to address these. Before we dive in, I need to clarify one point that is important to understand: algorithms (and the complex systems they are a part of) can make mistakes. These mistakes come from a variety of sources: bugs in the code, inaccurate or biased data, approximations we have to make (e.g.

CAPE TOWN – One of the major drivers of the Fourth Industrial Revolution (4IR) or the age of intelligentisation is the major advances in Artificial Intelligence (AI) that are supporting and even taking over from humans in many situations. AI is increasingly replacing humans where knowledge could be learned or the decision-making formula is known. It is in particular the AI abilities of machine learning and deep learning that makes AI so powerful in numerous fields. Machine learning refers to the ability of computer systems to learn by itself and to adapt accordingly, allowing them to perform a specific task without explicit instructions. In the Business Report of last Friday I illustrated that AI even transforms the disciplines based on "human touch" such as social work and is used to predict successful youth influencers in an HIV campaign; match homeless people with the best-suited housing and most effective social interventions; and select vulnerable families and children in need of intervention.

Researchers are using predictive artificial intelligence to help police officers classify crimes and determine whether they are gang-related. Jeffrey Brantingham, a University of California at Los Angeles anthropology professor and pioneer in the field of predictive policing, presented research earlier this year that uses a neural network to predict if crimes are gang-related. The ultimate goal, Brantingham's team writes in their paper, is "to automatically classify gang-related crimes where some crucial pieces of crime information are not currently available or are missing." Titled "Partially Generative Neural Networks for Gang Crime Classification," the paper is the first from a research team Brantingham leads at the University of Southern California's Center for Artificial Intelligence and Society (CAIS). Bratingham's team is studying "Spatio-Temporal Game Theory & Real-Time Machine Learning for Adversarial Groups," with a focus on countering extremism.