Canada fell from third in the world, behind only the United States and China in 2017, to 14th in 2023 over a wide range of AI metrics
Nobel laureate in Physics Geoffrey E. Hinton receives his award from Sweden's King Carl Gustaf at the Nobel Prize ceremony in the Konserthuset in Stockholm, on Dec. 10.Ryan Khurana is a senior fellow at the Foundation for American Innovation and a contributing author to the Macdonald-Laurier Institute.the 2024 Nobel Prize in physics for his groundbreaking work in artificial intelligence – largely conducted in domestic institutions – but we face a stark paradox.
AIDA’s approach to regulation, while well-intentioned, raises several red flags. The legislation’s broad introduction of “high-impact” AI systems is to be defined in regulation. Yet the guidance that it will aim for interoperability with the European Union’s AI law indicates a propensity toward a similar lack of specification on the harms to be avoided, with significant penalties for not avoiding them.
The solution isn’t to abandon regulation entirely. Rather, we need to fundamentally rethink AIDA’s approach. The goal should be to ensure that AI is developed safely, avoiding the catastrophic risks that the likes of Prof. Hinton and many others have increasingly worried about, while allowing for the practical use of current systems to expand.
We risk chilling adoption of AI if we regulate use based on unspecified potential harms and further limit Canada’s ability to support cutting-edge development. AI is a critical economic necessity, promising to kick-start a new era, with global consulting firm McKinsey forecasting as much as US$4.4-trillion in annual global GDP gained through AI-enabled productivity growth.
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