CPAR's own rating of all these countries and Canada is pretty much all about research and talent, a little bit of ethics. Other countries are more diverse if I try to cover more of it. At least it's something that is somewhat discussed or is acknowledged. One work of yours is the ethics of AI business practices, a review of 47 guidelines. So going from national AI strategies to AI business practices. And yeah, maybe just can you give us an introduction to what this paper is about? Sure.
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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