Immigration Department experimenting with AI to advise newcomers on where to settle

[border_humper]

https://archive.is/2026.03.04-101643/https://www.theglobeandmail.com/politics/article-immigration-department-experimenting-ai-newcomers-settlement/

The Immigration Department is experimenting with an AI tool to advise newcomers where they would be best suited to settle in Canada, one of many ways it is increasingly using artificial intelligence, including to detect fraud.
Stanford University’s Geomatch algorithm is designed to predict the probability of success of new immigrants, including refugees, in locations within a destination country. It uses machine learning, including information on past immigrants and their experiences, along with the work history, education and personal characteristics of new arrivals.
Use of the algorithm by Immigration, Refugees and Citizenship Canada, in partnership with Stanford’s Immigration Policy Lab, was disclosed in the federal department’s newly published first AI strategy. The U.S. university declined to comment.
Immigrants are not obliged to follow the recommendation, which is “offered as handy information for them to consider,” the strategy says.
IRCC is experimenting with a number of AI tools, many of which focus on fraud prevention. The strategy document says artificial intelligence is helping the department detect false narratives. These could form the basis of an asylum claim or deflect attention from security concerns, for example.
Machine learning tools are also being used to detect anomalies in applications and irregular travel patterns, which could signal that a refugee or immigrant came from a country other than the one claimed.
AI systems have been trained to detect fraudulent manipulation of documents, such as academic records and bank statements, as well as artificially “morphed” photographs that could be used in an attempt to commit identity fraud or to mislead an immigration officer about a person’s age.
“IRCC uses a range of tools, including advanced analytics, to support officers in identifying potential fraud,” department spokesperson Isabelle Dubois said in an e-mail.
Last year, IRCC investigated an average of roughly 8,000 cases of suspected immigration fraud a month, and refused an average of 7,900 fraudulent applications a month, Ms. Dubois said. The proportion of visitor visas refused because of fraud rose to 7.1 per cent in 2025, up from 4.6 per cent in 2024.

They’re going to fix your problem of not enough Indians in your neck of the woods, @ChevChelios

 

[ChevChelios]

We've got them in the small towns already (maybe 5% of the population now seems to be jeet, and it was 0% just a few years ago) but the rural spaces in between are pretty safe because all of the land has been locked up in the same families for the past 200 years, and I think there's a stigma against countryside living among thirdies anyway. Even I sometimes find it hard to cope with the long winters and social isolation here, so I can't imagine that someone accustomed to year-round heat and sunshine, not to mention relentless overcrowding, would fare any better in this environment. We don't have any dalits here to shovel their snow for them, either

 

[RightOfSask]

Let me guess, trained to give them advice to settle in more conservative areas to turn them around.

 

[Hirudinea]

Here, let me save the government a shitload of money, which they will piss away somewhere else.

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