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.
Feature
This list of resources, curated by the GETTING-Plurality Research Network at the Allen Lab for Democracy Renovation, highlights emerging ideas at the intersection of technology and democracy.
Feature
On July 4, 2026, America will celebrate the 250th anniversary of the signing of the Declaration of Independence. As this milestone approaches, the team at the Allen Lab for Democracy Renovation has curated a collection of books, podcasts, and events that explore the meaning and impact of the declaration from 1776 to today. Join us in revisiting the document itself, reflecting on its legacy, and considering the ongoing struggle to uphold democratic ideals.
Additional Resource
A new report provides a clear, actionable framework for effective experiential civic learning—what it is, why it matters, and how to do it well.
Feature
This list of resources, curated by the GETTING-Plurality Research Network at the Allen Lab for Democracy Renovation, highlights emerging ideas at the intersection of technology and democracy.
Commentary
In a warning to lawmakers, cybersecurity expert Bruce Schneier testified before the House Committee on Oversight and Government Reform, sharply criticizing the Department of Government Efficiency’s (DOGE) handling of federal data. Describing DOGE’s security protocols as dangerously inadequate, Schneier warned that the agency’s practices have put sensitive government and citizen information at risk of exploitation by foreign adversaries and criminal networks.
Policy Brief
The GETTING-Plurality Research Network submitted a public comment on the Development of a 2025 National Artificial Intelligence Research and Development Strategic Plan.