Video
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 Future of Privacy”. In this session, we hear from Bruce Schneier, security technologist, and Faculty Affiliate at the Ash Center; Sarah Roth-Gaudette, Executive Director of Fight for the Future; and Tobin South, MIT Ph.D. Candidate and Fulbright Scholar. Each presenter gives a lightning talk, followed by audience Q&A.
Paper
Allen Lab for Democracy Renovation authors offer the first comprehensive analysis of how Massachusetts municipalities are using technology to support civic engagement, government decision-making, and public service delivery.
Feature
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.
Commentary
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.
Paper
Allen Lab for Democracy Renovation authors offer the first comprehensive analysis of how Massachusetts municipalities are using technology to support civic engagement, government decision-making, and public service delivery.
Commentary
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
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.
