The Pan-Canadian AI strategy launched and spearheading initiative in the AI governance back in 2017. There's been criticisms of Canada as a pro to AI governance over the last two years on a number of fronts. A poll that I bring up in this article was recently conducted by him so short that of the countries that they surveyed, Canadians for the least for the most lengthy rather to be skeptical of the advances in AI.
In episode 57 of The Gradient Podcast, Andrey Kurenkov speaks to Blair Attard-Frost.
Note: this interview was recorded 8 months ago, and some aspects of Canada’s AI strategy have changed since then. It is still a good overview of AI governance and other topics, however.
Blair is a PhD Candidate at the University of Toronto’s Faculty of Information who researches the governance and management of artificial intelligence. More specifically, they are interested in the social construction of intelligence, unintelligence, and artificial intelligence, the relationship between organizational values and AI use, and the political economy, governance, and ethics of AI value chains. They integrate perspectives from service sciences, cognitive sciences, public policy, information management, and queer studies for their research.
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Outline:
* Intro
* Getting into AI research
* What is AI governance
* Canada’s AI strategy
* Other interests
Links:
* Once a promising leader, Canada’s artificial-intelligence strategy is now a fragmented laggard
* The Ethics of AI Business Practices: A Review of 47 Guidelines
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