Feature
The Past, Present, and Future of Democracy—A Summer Reading List from the Allen Lab
As we celebrate America’s 250th, the Allen Lab for Democracy Renovation is reflecting on how we arrived at this moment and where we are headed.
Policy Brief
How AI Fails Us
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.
Issues
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.
Related Resources
Commentary
Allen Lab Fellow Spotlight: City Charters Are Deliberative Democracy’s Friends
Allen Lab Fellow Tyler Fisher examines the untapped potential of city charters as a vehicle for deliberative democracy, arguing that advocates should work to embed tools like citizen assemblies, participatory budgeting, and town meetings directly into the governing architecture of cities, institutionalizing deliberative democracy one municipality at a time.
Q+A
Danielle Allen’s “Radical Duke” Reveals an Unsung Catalyst of History
Allen uncovers the deep — then volatile — friendship between a British duke and Thomas Paine.
Commentary
Work in the Age of AI: Reflections from After Neoliberalism
Allen Lab member Charlie Covit reflects on the After Neoliberalism conference and examines the intersection of artificial intelligence and the future of work, arguing that AI forces a democratic reckoning with the meaning of labor itself and that an economy which generates abundance while stripping citizens of purpose and dignity undermines the very foundation of democratic life.
Media Release
AI models appear to recognize moral complexity — then ignore it, new study by researchers affiliated with Harvard Kennedy School’s Allen Lab finds
New study published in AI and Ethics introduces a new ethical-moral intelligence framework for AI and finds that leading AI models mimic human moral concern while making decisions that reveal a hidden value hierarchy.
Article
Artificial Intelligence and Democracy: Campaigns, Elections, Movements, and Deliberation
A new chapter in APSA Preprints by Archon Fung, Winthrop Laflin McCormack Professor of Citizenship and Self-Government and Director of the Ash Center, Bailey Flanigan, former postdoctoral fellow at the Ash Center and co-authors explores how generative AI is reshaping four dimensions of democratic practice—political campaigns, election administration, social movements, and citizen deliberation. The authors argue that AI’s ultimate democratic impact will depend less on the technology itself, and more on how institutions and leaders implement and regulate it.