The MTA is implementing AI technology to monitor New York's subway systems, aiming to identify suspicious behavior through live security footage analysis. Chief Security Officer Michael Kemper highlighted that alerts would be triggered to preemptively engage police, promoting safety before incidents occur. However, critics worry about the reliability and biases associated with AI, fearing an escalation in surveillance leading to civil liberties violations. The MTA asserts it won't deploy facial recognition, merely focusing on behavioral analysis to maintain user safety while navigating potential ethical dilemmas.
MTA Chief Security Officer Michael Kemper stated that their aim is to stop crimes before they happen using AI analysis of subway platform feeds.
Kemper emphasized, "AI is the future," highlighting their collaboration with tech firms to integrate feasible AI solutions into subway security.
The MTA's initiative, however, faces criticism for potential biases and reliability issues surrounding AI surveillance, questioning the trade-off between safety and civil liberties.
Justin Harrison from the NYCLU raised concerns about the risks of a surveillance state, arguing that real public safety should not come at the cost of privacy.
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