What Canada is Getting Right About AI and Public Safety
AI in public safety is already here - and the question isn't whether to adopt it, but how. The benefits are real: predictive policing, faster investigations, smarter recovery of missing persons and stolen vehicles. The concerns about privacy and governance are also real, and they have to be reckoned with through public consultation and clear frameworks. Across Canada, cities like Peel, Toronto, and Cobourg are quietly modeling what thoughtful AI adoption in public safety looks like - measured, transparent, and accountable to the communities it serves.
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Canada doesn't have an AI talent shortage - it has a training misalignment. Hiring won't close the gap; the structural fix has to come from in-house, hands-on programs that turn academic knowledge into job-ready capability. Connex's CX Accelerator is one example of what that looks like in practice, and it points to a broader truth: the future of work won't be defined by AI itself, but by how well organizations and workers adapt to it.
Read MoreThe Tumbler Ridge tragedy exposes a dangerous gap in how AI companies respond to credible threats of violence. If the industry fails to establish binding safety standards, governments will inevitably step in to impose them.
Read MoreFear-driven narratives about AI risk distracting us from the real challenge: preparation. With smart investment in skills and innovation, AI can strengthen Canada’s economy rather than threaten it.
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