Additional Resource
This essay was adopted from a presentation given by Nathan Schneider at the Second Interdisciplinary Workshop on Reimagining Democracy held on the campus of Harvard Kennedy School in December 2023.
This essay was adopted from a presentation given by Nathan Schneider at the Second Interdisciplinary Workshop on Reimagining Democracy held on the campus of Harvard Kennedy School in December 2023. Convened with support from the Ash Center for Democratic Governance and Innovation and the Belfer Center for Science and International Affairs, the conference was intended to bring together a diverse set of thinkers and practitioners to talk about how democracy might be reimagined for the twenty-first century.
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.
