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.
Policy Brief
Researchers and funders should redirect focus from centralized autonomous general intelligence to a plurality of established and emerging approaches that extend cooperative and augmentative traditions as seen in successes such as Taiwan’s digital democracy project to collective intelligence platforms like Wikipedia.
The dominant vision of artificial intelligence imagines a future of large-scale autonomous systems outperforming humans in an increasing range of fields. This “actually existing AI” vision misconstrues intelligence as autonomous rather than social and relational. It is both unproductive and dangerous, optimizing for artificial metrics of human replication rather than for systemic augmentation, and tending to concentrate power, resources, and decision-making in an engineering elite. Alternative visions based on participating in and augmenting human creativity and cooperation have a long history and underlie many celebrated digital technologies such as personal computers and the internet. Researchers and funders should redirect focus from centralized autonomous general intelligence to a plurality of established and emerging approaches that extend cooperative and augmentative traditions as seen in successes such as Taiwan’s digital democracy project to collective intelligence platforms like Wikipedia. We conclude with a concrete set of recommendations and a survey of alternative traditions.
Podcast
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.
Case Study
In this new Occasional Paper from the Allen Lab for Democracy Renovation, Hannah Kunzman and Danielle Allen offer a case study on contestation over K–12 civics curriculum in Texas.
Feature
This list, curated by the GETTING-Plurality Research Network at the Allen Lab for Democracy Renovation, highlights a mix of foundational texts and new thinking on the timely issue of how AI will impact democracy, especially as we head into election season.
Podcast
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.
Commentary
Will AI-assisted polls soon replace more traditional techniques?
Feature
This list, curated by the GETTING-Plurality Research Network at the Allen Lab for Democracy Renovation, highlights a mix of foundational texts and new thinking on the timely issue of how AI will impact democracy, especially as we head into election season.