London Underground Is Testing Real-Time AI Surveillance Tools to Spot Crime

Machine learning software was combined with live CCTV footage to detect aggressive behavior, guns or knives being brandished, as well as looking for people falling onto tube tracks or dodging fares.

More than 44,000 alerts were issued during the trial, with 19,000 being delivered to station staff in real time.

Transport for London says it will expand its use of AI to detect fare dodging to more stations across the British capital.

Privacy experts question the accuracy of object detection algorithms.

TfL report on trial says it “wanted to include acts of aggression” but found it was “unable to successfully detect” them.

Instead, the system issued an alert when someone raised their arms, described as a “common behaviour linked to acts of.

aggression’s.

Other reasons for not including.

aggression were blacked out.

Privacy groups say people will be “disturbed” to learn authorities subjected people to AI-powered surveillance.