New York City is rolling out artificial intelligence technology to improve subway safety by monitoring behavior patterns in real time, according to the Metropolitan Transportation Authority (MTA). The system will analyze camera feeds from subway platforms and train cars to detect potentially dangerous activities without identifying individuals, prioritizing privacy concerns. Michael Kemper, a 33-year NYPD veteran and former head of the NYPD’s Transit Bureau, is leading this initiative as chief security officer of the MTA, which operates the largest transit agency in the United States.
The AI system will focus on identifying behaviors that may signal trouble, such as erratic movements or confrontations, rather than tracking individuals. When the system flags suspicious activity, it will alert transit police to respond quickly, aiming to prevent crimes before they escalate. While the MTA has not disclosed details about the AI providers or full deployment timelines, the technology is intended to expand surveillance coverage without requiring additional personnel, which could enhance safety across the 465-mile subway system.
Critics and privacy advocates have raised concerns about the potential risks of AI surveillance, including biases in the system and the possibility of false positives that could unfairly target specific groups. However, the MTA has excluded facial recognition technology, which is a key point of emphasis in its approach to maintaining rider privacy. Kemper’s extensive experience in reducing subway crime in the NYPD adds credibility to the initiative, though challenges remain in balancing public safety with civil liberties.
Crime in New York City subways has seen fluctuations over recent years. While major crimes dropped by about 7.7% through mid-2024, assaults have increased. In response, Governor Kathy Hochul deployed 1,000 National Guard members to support transit police efforts. AI technology is viewed as a complementary tool in this broader strategy, rather than a standalone solution. Cities like Los Angeles and Chicago have also experimented with AI-powered cameras for various purposes, including weapons detection and parking citations, reflecting a growing trend in using technology to enhance public safety in urban transit environments.
Despite the potential benefits of AI surveillance, questions remain about its effectiveness and how it will be implemented. The MTA and its partners must ensure transparency and continuous oversight to maintain public trust. As the technology rolls out, the challenge will be to create a system that is both secure and respectful of individual rights, aligning with the MTA’s commitment to rider privacy while addressing the growing concerns over subway safety.