Media Release
Danielle Allen’s Radical Duke Recasts the Origins of the Age of Revolution
A New book from Harvard scholar revisits the forgotten British radical movement that helped shape modern democracy.
Video
The Allen Lab for Democracy Renovation’s Making Democracy Interesting webinar brought together scholars, writers, and creators to explore how storytelling can make democratic life feel more accessible, human, and compelling.
Making Democracy Interesting brought together scholars, writers, and creators to explore how storytelling can make democratic life feel more accessible, human, and compelling. The panel was moderated by James Bryant Conant University Professor Danielle Allen and WIRED’s former editor-in-chief Gideon Lichfield, an Allen Lab Fellow, and featured:
Their discussion examined why traditional political language often fails to connect, especially with younger generations, and how parasocial relationships, narrative experimentation, and participatory media can enliven civic engagement. From real-world experiments in collective problem-solving to creator-led movements that mobilize millions, the discussion offered concrete examples of how democracy is lived and shared experiences and not just an abstract ideal. Watch the recording to hear how storytelling might help democracy find its audience again.
Media Release
A New book from Harvard scholar revisits the forgotten British radical movement that helped shape modern democracy.
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.
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.