
Image: Shutterstock.com (adapted, clumsily)
If it does, you would never know it from reading Canada’s new AI strategy just released by the Minister of Artificial Intelligence and Digital Innovation, Evan Solomon. It is a magistral document, addressing key elements of AI under six pillars: (with my shorthand summary in brackets)
- Protecting Canadians and safeguarding democracy (addressing trust, safety and privacy concerns)
- Empowering Canadians (promoting AI literacy and economic opportunity)
- Powering AI adoption for shared prosperity (accelerating adoption, especially for SMEs)
- Building a sovereign AI foundation (building domestic compute, cloud and connectivity infrastructure)
- Scaling Canadian champions (more government funding for domestic AI development)
- Building trusted economic and governance partnerships and global alliances (leading the creation of a multinational middle power alliance to curb the power of hegemons and hyperscalers)
The latter objective will no doubt go down really well with the Trump Administration!
Those six headings cover just about all aspects of AI, from its creation to its use to its impact on the economy, on society and on individuals. But in all 50 pages of the document, as far as I can ascertain, you won’t find the word “copyright”, although “protecting intellectual property” is certainly featured. The intellectual property rights that are mentioned have nothing to do with the rights of those whose content was used without authorization to create AI but rather relate to protecting the intellectual output of AI developers in Canada. John Degen, CEO of the The Writers’ Union of Canada (TWUC) was the first to call this out. Given the make-up of the task force that produced the report, this is not surprising. While it was made up of the great and the good from the AI world, with academics, financiers, CEOs, cybersecurity experts, innovators, educators and so on as part of the roster, there was not a single representative from the cultural community.
There are many elements of AI this document tries to address, all of them important to a country like Canada, although there are limits to what can be done by a middle power given that the lead on development has been seized by a handful of large companies, mostly in the US. The US government itself is caught in the dilemma of wanting the US to lead AI development yet not becoming overwhelmed by it to the point that a few major corporations are calling all the shots.
As for content issues, including what must surely include some copyrighted content, they are addressed only indirectly in the Canadian strategy. The three principal issues relating to content are; (1) privacy and access to data; (2) Canadian identity and culture; and (3) AI misuse, such as creation of deepfakes and misinformation.
On privacy and data, the document notes that AI is only as powerful as the data it can access (how true!). It reminds us that governments in Canada hold vast amounts of data that should be treated as a strategic national asset and mobilized to fuel innovation and productivity (i.e. provided for AI research). Thankfully, there is a tip of the hat to the need for “strong privacy protections” but there is no mention of the unauthorized scraping of databases and protected content by AI developers, both domestic and international. Privacy is important but so is ownership of content, and the right to grant permission to use it. Unfortunately, this latter point is not mentioned.
Protecting and promoting Canadian identity and culture is also mentioned as an important goal. It is obvious that if AI developers are blocked or hindered from ingesting Canadian content, then there will be less of Canada reflected in AI outputs. That argument was put forward recently by Michael Geist in a blog post criticizing recommendations issued by the Parliamentary Standing Committee on Heritage that had called for protection of the property rights and interests of artists through the Copyright Act on the basis of authorization, remuneration and transparency. This would lead to “AI without Canada”, according to Prof. Geist. This could be true if AI developers did not need or want curated Canadian content, but they do. The solution, as I pointed out, is not to give away everything in the shop window by creating a broad AI training exception in Canadian copyright law–which would amount to legalized theft, but instead to facilitate licensing solutions by resisting the smash-and-grab. Applying the existing legislation will incentivize the AI industry to strike deals with rightsholders. In other words, they will pay a negotiated amount for the products on display. That’s the best way to get more Canadian content into AI.
On the identity issue, the government’s summary document has this to say:
“Canadian AI must support, reflect, and project Canadian culture, which includes our customs, our history, and our heritage. Canadian voices, languages, communities, and knowledge must also be represented in how AI systems are designed, built, and used. Given our diverse and multicultural society, our approach to AI must acknowledge and support this rich diversity, including strengthening the French language by capturing and projecting its idioms, expressions, and cultural contexts.”
The best way to do this is to ensure that quality content in both official languages is made available to AI developers. As I have stated above, the fairest and most efficacious way to do this is through content licensing. Broad copyright exceptions will not facilitate licensing discussions. In fact, they do just the opposite by encouraging avoidance of dealing with rightsholders.
Regarding misinformation and deepfakes, this is a huge concern, and not just in Canada. Various legislative solutions have been proposed such as the bipartisan NO FAKES Act, currently working its way through the US Congress (opposed, as usual, by the internet libertarian organization, the Electronic Frontier Foundation). Other countries, such as Denmark, are addressing the issue through amendments to copyright law, giving individuals the reproduction rights to their image and voice. The UK has an anti-deepfake law on the books, introduced earlier this year, but Canada is still struggling to get its Online Harms legislation, after a couple of false starts, finalized and across the line. Re-introduction of that legislation is expected imminently, and will likely include social media restrictions on children, a highly controversial issue.
Privacy in relation to access to data, cultural identity, and misinformation including deepfakes are all content issues that Canada’s AI strategy will need to address. And so is copyright, although not mentioned in the strategy. Putting the best possible gloss on things, perhaps it is just as well there was not some throwaway line in the strategy pointing to the need to provide wider access to copyrighted content to ensure that Canada remains competitive on AI. That is the argument often employed by those who want freer access to “OPC” (Other Peoples’ Content). The argument is that “Everyone else is doing it (i.e. giving it away–which is factually untrue), so we have to as well in order to stay competitive”. Maybe silence was better than saying the wrong thing in this document.
In the absence of any reference to copyright issues, the last word must rest with Heritage and Identity Minister Marc Miller who spoke recently to the press after the National Summit on Artificial Intelligence and Culture in Banff, AB. The Minister is quoted as saying that Canadian copyright law is already clear that artists’ work needs to be respected, and that…”the current copyright law does and should protect those that have created material, and people need to be compensated properly.”
While that is encouraging, it would have been nice to have had this reaffirmed in the AI strategy document.
© Hugh Stephens, 2026. All Rights Reserved.












