New York City's Metropolitan Transportation Authority (MTA) is piloting an AI-enabled subway camera system designed to predict dangerous behaviors on subway platforms. The initiative focuses on identifying erratic movements and signs of distress to facilitate timely interventions by security or police, a strategy termed 'predictive prevention.' While privacy concerns surrounding surveillance technologies persist, MTA officials reassure that the new system will not utilize facial recognition, but will instead focus on behavioral observations to improve public safety in the bustling subway environment.
The new AI subway camera system aims to predict dangerous behavior on subway platforms to enable quick interventions before incidents escalate.
MTA's Chief Security Officer stated, 'It's about watching for warning signs,' emphasizing that the goal is predictive prevention to enhance safety.
The MTA is testing systems to identify signs of distress or agitation, working with tech firms to implement solutions in the chaotic subway environment.
Officials clarified that the system won't use facial recognition; they're focusing on behavior, aiming to alleviate privacy concerns commonly associated with surveillance.
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