WSJ – Artificial Intelligence Could Soon Enhance Real-Time Police Surveillance

This whole story also fits neatly into the various stories of how have AI justify its decision making process

  • develop the capability to add artificial intelligence to video surveillance and body cameras that could identify faces in real time
  • expected to be ready by the fall
  • police  already use facial recognition to review surveillance footage after a crime has occurred
  • new software uses an algorithm to tell an officer on the spot, through a body camera or a video surveillance camera, that it has found a suspect
  •  law enforcement’s growing dependence on software and high-tech tools
    • gun-shot-detection technology and predictive analytics
  •  Motorola Solutions , a maker of police communications and body-camera technology, has partnered with artificial-intelligence company Neurala  to produce a body-worn camera
    • will learn to identify a suspect or a missing child and spot them in a crowd
  • a Midwest police force, who is working with Motorola to provide feedback on the technology. His department was interested in acquiring it when it rolls out (what a fucking asshole….afraid to admit name and location)
  • the technology into real-time creates the possibility of police mistakes based on technology that may not always be accurate—especially for darker faces, which are harder for the technology to match accurately than those of lighter-skinned faces
  • we have lost our ability to be relatively anonymous in society, to be able to walk about without fear that the government is tracking our every move – EFF
  •  Paul Steinberg, Motorola Solution’s chief technology officer
  • TaeWoo Kim, chief scientist at One Smart Labs, a New York-based startup that is working on such software, said the technology is “creepy and a bit Big Brother-y,” but said it is “purely intended to fight crime, terrorism and track wanted subjects.”
  • U.S. law-enforcement agencies use facial recognition to run photos of suspects through databases of mug shots or driver’s license photos.
    • Georgetown Law School estimated in 2016 that one in every two Americans adults—117 million people—are in facial-recognition networks used by law enforcement in the country
  • William Bratton, the former commissioner of the NYPD, says that the public was similarly worried about DNA testing when the technology first emerged
  • Sgt. Edwin Coello, a supervisor in the Facial Identification Section used mugshots to id Alzheimer’s lady
  • NYPD want access to the Department of Motor Vehicles database of driver’s licenses – raises serious privacy concerns.
  • Inspector Joseph Courtesis, commanding officer of the Real Time Crime Center – uses argument access to DMV photos allows them to ID non-criminal investigations (what a load a shit)
  • 10 investigators in NYPD Inspector Courtesis’ unit use technology only when detectives send a photograph from a surveillance camera or an image captured by a witness
    •  can only be used as a lead, not as evidence persuasive enough to make an arrest
  • Center on Privacy & Technology at Georgetown University Law Center, said law-enforcement agencies have some level of access to DMV records for facial-recognition searches in 31 states (big brother)
  • expansion to DMV photos “would expose millions of New Yorkers to criminal investigations simply because they have a driver’s license.”
  • African-American faces are harder for the technology to read than those of Caucasians

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