Montreal Metro Implements AI in Suicide Prevention Pilot Project
In a collaborative effort between the Société de transport de Montréal (STM) and researchers from the Center for Suicide Intervention (CRISE), a new artificial intelligence system is being developed as part of Montreal’s public transit suicide prevention strategy. The pilot project involves the use of artificial intelligence to scan closed circuit television (CCTV) footage in the city’s Metro stations to identify potential warning signs of distress.
AI Detection and Intervention: The AI system is designed to analyze CCTV footage for indicators of distress, allowing for a more proactive response to prevent suicides. Brian Mishara, CRISE director and co-investigator of the STM AI project, explained that the system recognizes certain behavioral indicators, which, when identified, trigger immediate intervention measures. The system aims to alert the control room or metro operators in real time, enabling timely deployment of special constables to assist individuals in distress.
Facial Recognition and Accuracy: Mishara clarified that the AI system does not use facial recognition software to respect privacy concerns. Currently, the AI can accurately identify approximately one out of four people who may attempt suicide. While not perfect, this represents a significant advancement in detection capabilities, especially considering the challenges of human monitoring across numerous screens.
Alternative Measures and Future Plans: In addition to AI-based intervention, the possibility of adding barriers to prevent people from jumping off platforms has been considered. However, this is deemed an expensive solution, particularly as the STM aims to cut costs. The STM has described the AI pilot project as “promising” and anticipates implementing the system within two years. Additionally, the goal to introduce platform screen doors is part of the STM’s 2023-2033 plan, with $5 million allocated for project studies.
Conclusion: The Montreal Metro’s innovative use of artificial intelligence in suicide prevention reflects a commitment to leveraging technology for public safety. As the pilot project progresses, its success could pave the way for broader adoption, offering a more proactive and efficient approach to preventing tragic incidents within the transit system.
