AI, Democracy, & Disinformation

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Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
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Published on ● Video Link: https://www.youtube.com/watch?v=n55ZDWtPa-0


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Duration: 47:09
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With the 2020 U.S. Presidential election right around the corner, what better time to get together with other socially minded AI practitioners and discuss AI's role in democratic society? Join us for a series of lightning talks and breakout room discussions on the theme of "AI, Democracy, & Disinformation"!

Featuring lightning talks on...
- Audiovisual Evidence and Information Vulnerability Online
- Designing Misinformation Interventions for a Polarized Public
- What’s the point of voting advice applications?
- What’s at stake with the global governance of AI

Britt Paris is a critical informatics scholar studying how groups build, use, and understand information systems according to their values, and how these systems influence evidentiary standards and political action. She has her MA in Media Studies from the New School in New York City and her PhD in Information Studies from the University of California, Los Angeles. In 2018-19 she was a postdoctoral researcher at Data & Society Research Institute where she remains a research affiliate. In Fall 2019, she joined the faculty at Rutgers University as an Assistant Professor in the Department of Library and Information Science.

Prior to PAI, Emily Saltz was UX Lead for the News Provenance Project at the New York Times, and a UX Researcher and Designer at Bloomberg LP. She has a MHCI in Human-Computer Interaction from Carnegie Mellon University.

Justin Savoie holds a BA in Economics and Politics and a MA in Political Science at Université Laval. He's a PhD candidate in political science at the University of Toronto. He has published peer-reviewed work on citizen forecasting, automated text analysis, and on Canadian and Quebec politics. Most of his work uses survey data collected online, either through Voting advice applications or panel-based surveys. His "slightly less academic work", at Vox Pop Labs, includes the design and analysis of large-scale survey-based web applications and the development of statistical algorithms for social learning.

Philippe-André Rodriguez received his DPhil for Oxford, and was previously a fellow at Yale Law School and Senior Advisor at the Privy Council Office on digital tech policy.



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Tags:
deep learning
machine learning