Blair Attard-Frost: Canada’s AI strategy and the ethics of AI business practices

Blair Attard-Frost: Canada’s AI strategy and the ethics of AI business practices

Author: Daniel Bashir January 26, 2023 Duration: 58:22

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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Hosted by Daniel Bashir, The Gradient: Perspectives on AI moves beyond surface-level headlines to explore the intricate machinery and human ideas shaping artificial intelligence. Each episode is built on a foundation of deep research, leading to conversations that are both technically substantive and broadly accessible. You'll hear from researchers, engineers, and philosophers who are actively building and critiquing our technological future, discussing not just how AI systems work, but the larger implications of their integration into society. This isn't about speculative hype; it's a grounded examination of real progress, persistent challenges, and ethical considerations from those on the front lines. The discussions peel back layers on topics like model architecture, policy, and the fundamental science behind the algorithms becoming part of our daily lives. For anyone curious about the substance behind the buzz-whether you have a technical background or are simply keen to understand a defining technology of our age-this podcast offers a crucial and thoughtful resource. Tune in for a consistently detailed and nuanced take that treats artificial intelligence with the complexity it deserves.
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