Policy Brief
AI for Democracy Movements: Toward a New Agenda
A new report summarizes key insights from the Nonviolent Action Lab’s December 2025 convening on how artificial intelligence can empower pro-democracy movements.
Video
The “Building a Digital Democracy” panel brought together Audrey Tang, Megan Smith, Professor Danielle Allen, and Professor Mathias Risse for a conversation on how technology is being used to transform our political institutions.
This fall, the Allen Lab for Democracy Renovation, Carr Center for Human Rights Policy, and Fairbank Center for Chinese Studies convened a panel conversation in the John F. Kennedy Jr. Forum on “Building a Digital Democracy” featuring Professor Danielle Allen, Professor Mathias Risse, Audrey Tang (Former Taiwan Minister of Digital Affairs), and Megan Smith (Former United States Chief Technology Officer). The panel aimed to explore how technology is being used to transform political institutions, civil society, and political culture to support more representative, transparent, responsive, and participatory democracy, and how these infrastructures can be designed to protect individual human rights and democratic systems.
A few key themes from the conversation included:
Watch the full event 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.