#aipolicing — Public Fediverse posts on home.social

Miguel Afonso Caetano @[email protected] · 2026-04-24 · 15:08 UTC

"When he drives through his neighborhood now, Brian Page passes rows of police cars and AI‑powered cameras that track nearly every movement.

For most of his life, Page, who goes by “Scapegoat Jones,” felt safest in the community that Atlanta officials have since flooded with officers and surveillance technology in the name of “public safety.” He bought a house six minutes from the one he grew up in in DeKalb County, is raising his daughter in the same majority‑Black neighborhood, and cherished the forest trail where his family used to jog and ride bikes.

Now, a massive police training complex and an expanding web of surveillance rise in its place, and it makes him feel watched, not protected.

The network, he said, “certainly feels like an invasion of privacy.”

The 41-year-old’s unease about the Atlanta Public Safety Training Center, more commonly known as “Cop City,” is at the center of a much larger experiment.

Built atop 85 acres of one of Atlanta’s last urban forests, the training center is now wired into what has become the most expansive surveillance network of any city in the U.S., part of more than 60,000 public and private cameras linked to law enforcement across the metro area."

https://capitalbnews.org/atlanta-cop-city-ai-policing-black-community/

#AI #AIPolicing #USA #CopCity #Atlanta #Surveillance

#ai #aipolicing #usa #copcity #atlanta #surveillance

Miguel Afonso Caetano @[email protected] · 2025-12-01 · 14:35 UTC

"Across the country, police departments have adopted automated software platforms driven by artificial intelligence (AI) to compile and analyze data. These data fusion tools are poised to change the face of American policing; they promise to help departments forecast crimes, flag suspicious patterns of activity, identify threats, and resolve cases faster. However, many nascent data fusion systems have yet to prove their worth. Without robust safeguards, they risk generating inaccurate results, perpetuating bias, and undermining individual rights.

Police departments have ready access to crime-related data like arrest records and crime trends, commercially available information purchased from data brokers, and data collected through surveillance technologies such as social media monitoring software and video surveillance networks. Police officers analyze this and other data with the aim of responding to crime in real time, expeditiously solving cases, and even predicting where crimes are likely to occur. Data fusion software vendors make lofty claims that their technologies use AI to supercharge this process. One company describes its tool as “AI providing steroids or creating superhuman capabilities” for crime analysts.

The growing use of these tools raises serious concerns. Data fusion software allows users to extract volumes of information about people not suspected of criminal activity. It also relies on data from systems that are susceptible to bias and inaccuracy, including social media monitoring tools that cannot parse the complexities of online lingo, gunshot detection systems that wrongly flag innocuous sounds, and facial recognition software whose determinations are often flawed or inconsistent — particularly when applied to people of color."

https://www.brennancenter.org/our-work/research-reports/dangers-unregulated-ai-policing

#AI #AIPolicing #PredictivePolicing #Surveillance #PoliceState