Bipartisan Bills Target AI-Powered License Plate Surveillance Networks

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Summary

Two federal bills would restrict AI-powered license plate reader use and strengthen safeguards amid concerns about mass surveillance, misuse, and data protection. The article also reports a researcher’s discovery of an exposed Flock access token.

Key points

  • Sen. Josh Hawley introduced a bill proposing limits on data sharing, a 10-day retention cap, encryption, search approvals and audits, and a ban on facial recognition in ALPR cameras.
  • Sens. Bernie Sanders and Jeff Merkley and Rep. Alexandria Ocasio-Cortez proposed barring federal ALPR use and withholding federal funds from states that deploy the cameras.
  • The proposals address ALPR companies broadly, including Flock, Motorola, and Axon.
  • Privacy advocates cite mass surveillance and misuse risks; Flock says it supports guardrails, accountability, and oversight.
  • The article says researcher Joshua Michael found a Flock website access token that allegedly enabled unauthenticated queries of a geographic information system and access to location data.
  • It also cites alleged improper police searches and unauthorized camera installations as examples of concerns around ALPR networks.

Article Details

Event Type
Introduction of two congressional bills addressing AI-powered automatic license plate recognition (ALPR) cameras
Impact
The proposed bills would impose safeguards or broader restrictions on ALPR use, including limits on data sharing and retention, oversight requirements, and restrictions on federal use and funding. The debate follows concerns about mass surveillance, alleged misuse of searches, and wrongful arrests. The proposals could affect Flock and other ALPR companies, including Motorola and Axon.

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