Video  

Introduction to AI and Public Policy

The “Introduction to AI and Public Policy” webinar session featured the following speakers and topics:

  • Danielle Allen (Harvard): AI and Democracy
  • Sandy Pentland (MIT): A Practical Framework for Data and AI systems for Regulators
  • Shayne Longpre (MIT): A Primer in Large Language Models
  • Gabriele Mazzini (European Commission): Overview of the EU AI Act

Related Resources

Work in the Age of AI: Reflections from After Neoliberalism

Commentary

Work in the Age of AI: Reflections from After Neoliberalism

Allen Lab member Charlie Covit reflects on the After Neoliberalism conference and examines the intersection of artificial intelligence and the future of work, arguing that AI forces a democratic reckoning with the meaning of labor itself and that an economy which generates abundance while stripping citizens of purpose and dignity undermines the very foundation of democratic life.

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. 

More on this Issue

Work in the Age of AI: Reflections from After Neoliberalism

Commentary

Work in the Age of AI: Reflections from After Neoliberalism

Allen Lab member Charlie Covit reflects on the After Neoliberalism conference and examines the intersection of artificial intelligence and the future of work, arguing that AI forces a democratic reckoning with the meaning of labor itself and that an economy which generates abundance while stripping citizens of purpose and dignity undermines the very foundation of democratic life.

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.