Carney's 'AI for All' Frames AI Opposition as a Literacy Problem

Canada's 'AI for All' national strategy rests on a particular diagnosis: that public opposition to artificial intelligence is a knowledge gap. Educate people, train them to use AI tools, and the skepticism will dissolve. Writing in The Tyee, tech journalist Paris Marx argues the Carney government has the causation backwards. The opposition, he writes, comes from people watching AI fail in real public-sector deployments, not from people who do not understand the technology.

The evidence Marx assembles is specific. Polling from the Angus Reid Institute found 68 per cent of Canadians want strict regulation of artificial intelligence, even if it slows development. That polling sits alongside a series of documented failures: a government chatbot for tax advice provided incorrect information 66 per cent of the time, an immigration AI system denied a woman's permanent residency application after fabricating details in her submission, and Ontario's AI medical scribes recorded the wrong drug prescribed to patients 60 per cent of the time.

The government's response to that record is a National AI Literacy Initiative that includes chatbots for university students and a plan to train 90,000 young people as advocates of the technology. The strategy also targets boosting business AI adoption from 12 per cent to 60 per cent within eight years. Meanwhile, in Vancouver, protesters organized against two data centres over energy and water demands, and a parents' group called 'Parents for AI Caution in Education Spaces' has sought a pause on classroom chatbot rollout, citing research on effects to critical thinking skills. Marx's argument is that those groups are responding to documented problems, not ignorance, and that the literacy framing misidentifies where the concern originates.

The honest caveat: this is an opinion piece by someone with a defined position on AI, and it does not lay out what regulatory alternative would satisfy the 68 per cent who want stricter rules while meeting the government's economic targets. The proposed changes to privacy legislation and child-data protections are described as only 'the tip of the iceberg' of what civil society groups and the public want addressed, without specifying what further measures would look like. On the corporate side, Uber's president reportedly said AI spending had become 'harder to justify' after burning through its annual budget in just four months, part of a broader picture the piece draws of costs outpacing benefits.

For those tracking the politics of AI adoption, Canada's gap between documented failure rates in public-sector deployments and the promotional targets in the national strategy is worth watching, particularly whether the 68 per cent polling figure translates into any legislative pressure as the strategy rolls out.