Feature
Podcast
Conference on the Political Economy of AI Podcast Episodes
Check out the podcast episodes from the Allen Lab for Democracy Renovation’s Conference on the Political Economy of AI to glean insights from each panel.
Issues
More on the Conference
Related Resources
Additional Resource
VIDEOS: After Neoliberalism From Left to Right
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
Crocodile tears: Can the ethical-moral intelligence of AI models be trusted?
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.
Additional Resource
Storytelling Pathways to Civics Engagement
Watch Roadtrip Nation’s Living Civics documentary and hear from leading universal civic learning experts on the power of narrative for civic engagement.
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.
Additional Resource
VIDEOS: After Neoliberalism From Left to Right
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
Crocodile tears: Can the ethical-moral intelligence of AI models be trusted?
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.