Monday, October 26, 2026

Hacker News Items / Y Combinator

HERE IS ONE HIGHLIGHT:
"". . .Even before license plate readers and AI, pretext stops were unfortunately quite common as a police strategy, which is why the ACLU has fought to ban them for years. But what we’re seeing now is an enormous departure from how police have always operated — police can now use technology to track all of us all the time, then rely on AI to churn through the resulting oceans of data to suggest suspects, who are then detained under false pretenses.

This approach to law enforcement means that:

  • More and more people will be subject to police encounters as these AI algorithms inevitably sweep in far more innocent people than actual wrongdoers.
  • For many people, those encounters will be far more fraught, frightening and dangerous than what Knowles experienced.
  • The spread of license plate readers has already led to widespread abuses by officers; the use of AI surveillance tools on top of ALPR databases will open up possibilities for even more sophisticated forms of abuse, such as those based on political or protest associations or travel.
  • As data on our movements is being fed into AI systems that are constantly analyzing whether we’re suspicious, we are effectively being watched and judged all the time. And eventually, everyone will absorb that fact, and feel the eyes of the authorities upon them whenever they travel. That kind of self-consciousness is not something people in a free democracy should have to live with.

Police Are Increasingly Pulling People Over Because AI Deems Their Driving Patterns “Suspicious”

Anybody is susceptible to being stopped, searched, or worse; AI makes new forms of abuse possible
Frontal view of a police car in the dark with all its lights on
The seductive yet deeply problematic ability of AI to suggest suspects for law enforcement is yet another reason to put a stop to license plate surveillance, location tracking of any kind, and mass surveillance in general."
Jay Stanley,
ACLU Speech, Privacy, and Technology Project 

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