The Metropolitan Transportation Authority (MTA) in New York City has adopted AI surveillance tools in seven subway stations to combat fare evasion and find effective solutions for revenue losses. However, concerns about privacy and possible misuse of the technology have emerged.
The MTA’s AI surveillance system is designed to track fare evasion without revealing the identities of individuals who jump the turnstiles. By analyzing real-time data, this technology helps estimate the magnitude of revenue loss caused by fare evasion, allowing for targeted interventions.
In collaboration with AWAAIT, an AI software company based in Spain, the MTA has implemented the surveillance system, which instantly notifies ticket inspectors with screenshots of fare violations on their smartphones.
Opponents of the technology are worried about potential infringements on privacy and the potential for increased fines for minor offenses, drawing attention to concerns about government surveillance.
Advocates, on the other hand, argue that AI surveillance has the potential to enhance safety and security as long as it is used responsibly, emphasizing the need for proper human supervision and implementation.
Achieving a balance between efficiency and privacy is crucial in order to foster public trust and ensure the responsible use of AI technology to improve safety and security in New York City’s subways.