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.
Article
A new research article by Dr. Christine Slaughter, Research Fellow at the Allen Lab for Democracy Renovation and co-authors examines the narrative of black men’s political “shift right”. The study finds Black men remain overwhelmingly Democratic, despite growing public attention to ideological divides.
Commentary
Allen Lab Fellow Hillary Lehr convened a Voter Experience Summit at Harvard’s Ash Center in March, bringing together 25 cross-sector experts to rigorously map the voter journey. This essay explores how that collaborative process could lay the groundwork for new interventions to understand and improve the experience of voting for all.
Additional Resource
After Neoliberalism: From Left to Right brought together hundreds of leading economists, political scientists, journalists, writers and thinkers from across the political spectrum to explore and debate emerging visions for the future of the political economy.
Panel videos below.
Policy Brief
A new report summarizes key insights from the Nonviolent Action Lab’s December 2025 convening on how artificial intelligence can empower pro-democracy movements.
Additional Resource
After Neoliberalism: From Left to Right brought together hundreds of leading economists, political scientists, journalists, writers and thinkers from across the political spectrum to explore and debate emerging visions for the future of the political economy.
Panel videos below.
Open Access Resource
Allen Lab authors Sarah Hubbard, David Kidd, and Andrei Stupu introduce an ethical-moral intelligence framework for evaluating AI models across dimensions of moral expertise, sensitivity, coherence, and transparency in their recently published paper, Crocodile Tears: Can the Ethical-Moral Intelligence of AI Models Be Trusted? in Springer AI & Ethics.
