AI Governance and Social Impact

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I'm sure an interesting time to get into it given that AI started exploding in the early 2010s and then as people realized it, it seems like a lot of the policy and impact considerations followed. It's always changing if you look away from a week or two and there's some kind of huge new development. So it's a very quickly evolving deal, which means it's challenging, but also makes it very interesting.

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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