Officials confirm the force is deploying AI-enabled systems to assist with investigations. While the technology is intended to boost efficiency and accuracy, internal documents reviewed by CBC indicate that the privacy impact assessments acknowledge potential risks to civil liberties. The assessments point to issues such as increased surveillance capabilities, the possibility of surveillance overreach, and the broader implications for residents’ privacy in public and semi-public spaces.
The information comes as part of ongoing discussions around how law enforcement agencies balance security objectives with residents’ rights. The police department has not released a comprehensive public justification detailing every civil-liberties concern or the specific safeguards in place. However, the internal notes emphasize the need for ongoing privacy monitoring and the potential for disproportionate effects on certain communities if oversight is insufficient.
Civil liberties advocates have long urged transparency regarding how AI tools are used, what data are collected, how long data are retained, and who has access to the analytics produced by these systems. In Montreal, as in other cities, critics warn that without robust governance, automated systems could normalize intrusive forms of monitoring or enable biased outcomes, even if technologies themselves are designed with safeguards.
Police officials say the aim is to improve investigative outcomes while maintaining legal and ethical standards. They stress that the technology is not deployed in a vacuum and that privacy impacts are being considered as part of an ongoing evaluation process. The department has not announced a timeline for full rollout or a detailed plan outlining the specific use cases for AI within policing operations.
Residents and privacy watchdogs will be watching closely to see how Montreal’s approach aligns with provincial and national privacy regulations, and whether additional measures will be introduced to ensure transparency, accountability, and meaningful user control over data collected and analyzed by AI-assisted policing.
