"These systems have ingested Canadian journalism systematically. The specificity of their knowledge of domestic politics, provincial affairs, and local reporting points clearly to Canadian news sources. And they rarely tell you where the information came from."
"We tested four major AI models on 2,267 real Canadian news stories (English and French) without web search activated and found the same pattern across all of them. All four models showed extensive knowledge of Canadian current events consistent with having ingested Canadian news reporting. Models demonstrated at least partial knowledge in 74% of responses to stories within their training window, but among those knowledgeable responses, 92% provided no source attribution of any kind."
Canadian researchers tested ChatGPT, Claude, Gemini, and Grok on 2,267 Canadian news stories to examine source attribution practices. All four models demonstrated extensive knowledge of Canadian current events, showing at least partial knowledge in 74% of responses. However, among knowledgeable responses, 92% provided no source attribution. When web search was enabled, models produced comprehensive coverage of original reporting, reducing user need to visit sources. The study reveals that AI systems have systematically ingested Canadian journalism but rarely disclose their sources. This practice has prompted legal action, with Canadian news outlets including CBC, Globe and Mail, and Toronto Star suing OpenAI for copyright infringement in November 2024.
#ai-source-attribution #canadian-journalism #copyright-infringement #ai-transparency #news-outlet-rights
Read at Nieman Lab
Unable to calculate read time
Collection
[
|
...
]