US EditionAI systems use Canadian journalism but don't attribute sources: report
A study of 2,267 Canadian news stories found AI models failed to attribute sources 82% of the time, impacting news outlets' revenue and readership, report says.
- On March 16, 2026, a report released at a Banff summit says AI systems depend on Canadian journalism but do not offer compensation or proper attribution.
- AI companies ingesting news archives are central to extracting value without proper attribution, raising questions about copyright and licensing, as the Canadian Press report states.
- Researchers reported attribution statistics showing that when four major AI models were asked about Canadian news stories, they failed to provide source attribution about 82 per cent of the time and named a Canadian news source only 28 per cent of the time.
- A coalition of Canadian news outlets is suing OpenAI in Ontario court amid concerns over copyright and data mining, according to the report.
- The report warns the system 'accelerates the economic decline of the journalism it relies on', while responses sometimes include links but news consumers rarely see whose journalism they are reading.
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30 Articles
According to a new report, artificial intelligences offer neither compensation nor adequate mention of their source.
The Toronto Star
AI systems use Canadian journalism but seldom cite media sources: report
OTTAWA - AI systems depend on Canadian journalism for the information they provide users but don't offer compensation or proper attribution in return, says a new study.
One study argues that the system "accelerates the economic decline of journalism on which it depends".
The Hamilton Spectator
St Catharines StandardAI systems use Canadian journalism but don’t attribute sources: report
OTTAWA - A new report says AI systems depend on Canadian journalism for knowledge but don't offer compensation or proper attribution in return.
AI news audit finds Canadian journalism being scraped with no attribution majority of time
AI companies have built their products using Canadian journalism without permission or compensation, and are now delivering that journalism to consumers as their own product, asserts an AI news audit undertaken by the Centre for Media, Technology and Democracy at McGill University. The first large-scale empirical audit of how AI models use and distribute Canadian journalism, two studies were led by Taylor Owen, Beaverbrook Chair in Media, Ethics…
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Bias Distribution
- 80% of the sources lean Left
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