Additional Resource  

The Real Dangers of Generative AI

“The Real Dangers of Generative AI” by Danielle Allen and Glen Weyl was featured in the January 2024 Journal of Democracy.

Abstract: As perhaps the most consequential technology of our time, Generative Foundation Models (GFMs) present unprecedented challenges for democratic institutions. By allowing deception and de-contextualized information sharing at a previously unimaginable scale and pace, GFMs could undermine the foundations of democracy. At the same time, the investment scale required to develop the models and the race dynamics around that development threaten to enable concentrations of democratically unaccountable power (both public and private). This essay examines the twin threats of collapse and singularity occasioned by the rise of GFMs.

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Additional Resource

Terra Incognita: The Governance of Artificial Intelligence in Global Perspective

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Video

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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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Additional Resource

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