As generative artificial intelligence (AI) tools like ChatGPT, Google Gemini and others reshape the digital landscape, much of the conversation in Canada has focused on commercial innovation.

But what if AI were developed as a public utility rather than as a commercial service? Canada’s long history with public service media — namely the CBC and Radio-Canada — offers a useful model for thinking about how AI could serve the public amid growing calls for a public interest approach to AI policy.

Commercial AI has largely been built on the assumption that user-generated content posted online is available to train commercial AI. Focusing so much on the technical success of generative AI ignores that its innovations depend on access to global cultural knowledge — the result of treating the internet as a “knowledge commons.”

AI would have been impossible without public data, and much of that data was taken without contributing back to the public system. Canada, in fact, has a historical link to AI innovation.

Early work in automated translation involved a tape reel that was anonymously sent to IBM in the 1980s containing Canadian parliamentary transcripts. The multilingual material helped train early translation algorithms. What if Canada intentionally trained the future of AI in the same way?

A growing number of countries are........

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