Video  

AI and the 2024 Elections

The GETTING-Plurality Research Network at the Ash Center’s Allen Lab and Connection Science at MIT Media Lab hosted a webinar event focused on “AI and the 2024 Elections”. In this session, we hear from Danielle Allen, Harvard University; Sandy Pentland, Massachusetts Institute of Technology; and Nate Persily, Stanford University. Each presenter gives a lightning talk, followed by audience Q&A.

Related Resources

AI models appear to recognize moral complexity — then ignore it, new study by researchers affiliated with Harvard Kennedy School’s Allen Lab finds
Outstretched hands holding a graphic of a scale and the outlines of two heads.

Media Release

AI models appear to recognize moral complexity — then ignore it, new study by researchers affiliated with Harvard Kennedy School’s Allen Lab finds

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: Crocodile tears, Can the ethical-moral intelligence of AI models be trusted?
A hand pressing a tablet using AI.

Q+A

Q & A: Crocodile tears, Can the ethical-moral intelligence of AI models be trusted?

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.

Bootstrap Blackness: Black Men, Conservatism, and Party Politics
A man voting.

Article

Bootstrap Blackness: Black Men, Conservatism, and Party Politics

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.

 

More on this Issue

AI models appear to recognize moral complexity — then ignore it, new study by researchers affiliated with Harvard Kennedy School’s Allen Lab finds
Outstretched hands holding a graphic of a scale and the outlines of two heads.

Media Release

AI models appear to recognize moral complexity — then ignore it, new study by researchers affiliated with Harvard Kennedy School’s Allen Lab finds

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. 

Artificial Intelligence and Democracy: Campaigns, Elections, Movements, and Deliberation
The U.S. Capitol with a digital grid overlay.

Article

Artificial Intelligence and Democracy: Campaigns, Elections, Movements, and Deliberation

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: Crocodile tears, Can the ethical-moral intelligence of AI models be trusted?
A hand pressing a tablet using AI.

Q+A

Q & A: Crocodile tears, Can the ethical-moral intelligence of AI models be trusted?

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.