Policy Brief
The GETTING-Plurality Research Network submitted a series of memos which respond to various questions posed around the topics of bolstering democracy and civic participation; protecting rights, safety, and national security; and promoting economic growth and good jobs.
The White House recently released a series of announcements focused on responsible artificial intelligence, including a White House Office of Science and Technology Policy request for information on national priorities for AI. The GETTING-Plurality Research Network submitted a series of memos which respond to various questions posed around the topics of bolstering democracy and civic participation; protecting rights, safety, and national security; and promoting economic growth and good jobs.
GETTING-Plurality looks forward to further engagement and discussion on AI governance.
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.
Article
A new research article by Dr. Christine Slaughter, Research Fellow at the Allen Lab for Democracy Renovation and co-authors examines the narrative of black men’s political “shift right”. The study finds Black men remain overwhelmingly Democratic, despite growing public attention to ideological divides.
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.