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
Even with Nicolás Maduro gone, the fight for Venezuela’s future is far from over. Freddy Guevara warns that Maduro’s successors are more interested in regime survival than democratic reform.
Policy Brief
In this essay, originally published in the Journal of Democracy, Erica Chenoweth and Matthew Cebul analyze the global surge of Gen Z-led protest movements, showing how economic insecurity, exclusion from power, and corruption are driving youth mobilization worldwide.
Occasional Paper
In this report, Matthew Cebul, Lead Research Fellow for the Nonviolent Action Lab, examines the effectiveness of nonviolent action movements in supporting democratic resilience globally. Identifying challenges faced by nonviolent pro-democracy movements, Cebul offers key takeaways for combating accelerating democratic erosion in the US and abroad.
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.
Article
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.
Q+A
As artificial intelligence becomes more embedded in everyday decision-making, its role in shaping how people think about ethics and morality is drawing increasing scrutiny. In this conversation with researcher Sarah Hubbard, we discuss insights from her co-authored paper, “Crocodile Tears: Can the Ethical-Moral Intelligence of AI Models Be Trusted?”—examining how AI systems respond to moral dilemmas, and what this reveals about the risks, limitations, and need for greater transparency and human oversight in AI-driven ethical guidance.
