Video  

AI and the 2024 Elections

The GETTING-Plurality Research Network at the Ash Center’s Allen Lab and Connection Science at MIT Media Lab hosted a webinar event focused on “AI and the 2024 Elections”. In this session, we hear from Danielle Allen, Harvard University; Sandy Pentland, Massachusetts Institute of Technology; and Nate Persily, Stanford University. Each presenter gives a lightning talk, followed by audience Q&A.

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The National Security Case for Public AI
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The National Security Case for Public AI

Allen Lab for Democracy Renovation Fellow Alex Pascal and Vanderbilt Law Professor Ganesh Sitaraman make the case that public options for AI and public utility-style regulation of AI will enhance national security by ensuring innovation and competition, preventing abuses of power and conflicts of interest, and advancing public interest and national security goals.

Conference on the Political Economy of AI Podcast Episodes
Photo of participants from the conference.

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Conference on the Political Economy of AI Podcast Episodes

Check out the podcast episodes from the Allen Lab for Democracy Renovation’s Conference on the Political Economy of AI to glean insights from each panel.

More on this Issue

The National Security Case for Public AI
tech background with a square in the middle

Occasional Paper

The National Security Case for Public AI

Allen Lab for Democracy Renovation Fellow Alex Pascal and Vanderbilt Law Professor Ganesh Sitaraman make the case that public options for AI and public utility-style regulation of AI will enhance national security by ensuring innovation and competition, preventing abuses of power and conflicts of interest, and advancing public interest and national security goals.

Conference on the Political Economy of AI Podcast Episodes
Photo of participants from the conference.

Podcast

Conference on the Political Economy of AI Podcast Episodes

Check out the podcast episodes from the Allen Lab for Democracy Renovation’s Conference on the Political Economy of AI to glean insights from each panel.