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While AI CEOs worry governments might nationalize AI, others are advocating for something similar. Canadian security professional Bruce Schneier and Harvard data scientist Nathan Sanders published this call to action in Canada's most widely-read newspaper (with a readership over 6 million): "Canada Needs Nationalized, Public AI." While there are Canadian AI companies, they remain for-profit enterprises, their interests not necessarily aligned with our collective good. The only real alternative is to be bold and invest in a wholly Canadian public AI: an AI model built and funded by Canada for Canadians, as public infrastructure. This would give Canadians access to the myriad of benefits from AI without having to depend on the U.S. or other countries. It would mean Canadian universities and public agencies building and operating AI models optimized not for global scale and corporate profit, but for practical use by Canadians... We are already on our way to having AI become an inextricable part of society. To ensure stability and prosperity for this country, Canadian users and developers must be able to turn to AI models built, controlled, and operated publicly in Canada instead of building on corporate platforms, American or otherwise... [Switzerland's funding of a public AI model, Apertus] represents precisely the paradigm shift Canada should embrace: AI as public infrastructure, like systems for transportation, water, or electricity, rather than private commodity... Public AI systems can incorporate mechanisms for genuine public input and democratic oversight on critical ethical questions: how to handle copyrighted works in training data, how to mitigate bias, how to distribute access when demand outstrips capacity, and how to license use for sensitive applications like policing or medicine... Canada already has many of the building blocks for public AI. The country has world-class AI research institutions, including the Vector Institute, Mila, and CIFAR, which pioneered much of the deep learning revolution. Canada's $2-billion Sovereign AI Compute Strategy provides substantial funding. What's needed now is a reorientation away from viewing this as an opportunity to attract private capital, and toward a fully open public AI model. Long-time Slashdot reader sinij has a different opinion. "To me, this sounds dystopian, because I can also imagine AI declining your permits, renewal of license, or medication due to misalignment or 'greater good' reasons." But the Schneier/Sanders essays argues this creates "an alternative ownership structure for AI technology" that is allocating decision-making authority and value "to national public institutions rather than foreign corporations."

Read more of this story at Slashdot.

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