The New York Metropolitan Transportation Authority (MTA) is exploring the use of artificial intelligence to bolster security within its subway system. According to Michael Kemper, the agency’s chief security officer, AI software could soon help detect problematic behavior on subway platforms through real-time data analysis collected by existing surveillance cameras. This initiative aims to alert security personnel promptly, potentially reducing crime and enhancing rider safety.
Kemper stated during a recent hearing that the goal is to ‘sense potential trouble or problematic behavior on our subway platforms,’ which could improve response times from law enforcement. However, he did not specify the companies involved or elaborate on the types of behaviors that might trigger alerts, and he clarified that facial recognition technology would not be part of this AI deployment.
This development comes amid ongoing concerns about crime in New York City’s subway system. Recently, New York Governor Kathy Hochul deployed over a thousand National Guard members to patrol the subways, aiming to improve safety and restore public confidence. Crime statistics indicate a slight overall decline in subway-related offenses in 2024 compared to the previous year, despite an increase in assaults and ten reported murders that year.
While AI’s role in crime prevention remains a topic of debate, some see it as a valuable tool for law enforcement and public safety. Similar efforts are already underway in other major cities such as Los Angeles and Chicago, which have tested AI-powered weapons detection systems and mounted cameras issuing parking citations.
Technology experts emphasize that AI’s potential goes beyond crime detection. For instance, LSEG, a financial data provider, is using AI to improve access to information across the globe. Emily Prince, the company’s analytics leader, explained that AI can address inherent challenges in democratizing information, enhancing both efficiency and accessibility.
However, the realization of AI’s full potential hinges on international regulatory standards. Without global consensus, efforts could become fragmented, making consistent deployment and safe practices more difficult. Prince noted that ‘the more that we can get global alignment, in terms of how regulators think about AI, the better it is for everyone.’
As cities and nations continue to adopt AI to enhance safety and productivity, policymakers face critical decisions about regulation and innovation. Striking the right balance could shape the future of AI’s role in public life while safeguarding societal interests.
In conclusion, the integration of AI into urban transit and other sectors reflects an exciting yet complex frontier. How will governments and companies navigate this technological landscape to maximize benefits without compromising safety and ethics? It remains to be seen, but the goal is clear: smarter, safer, more accessible cities for all.
