Blair Attard-Frost discusses AI countergovernance and explores topics such as the challenges of AI ethics and governance, the concept of the AI interregnum, the importance of explainability in AI systems, examples of AI countergovernance in practice, and the need for participatory policymaking in AI governance.

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.Have suggestions for future podcast guests (or other feedback)? Let us know here!Subscribe to The Gradient Podcast:  Apple Podcasts  | Spotify | Pocket Casts | RSSFollow The Gradient on Twitter or MastodonOutline:* Intro* Getting into AI research* What is AI governance* Canada’s AI strategy* Other interestsLinks:* 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 Get full access to The Gradient at thegradientpub.substack.com/subscribe