Feature
The Past, Present, and Future of Democracy—A Summer Reading List from the Allen Lab
As we celebrate America’s 250th, the Allen Lab for Democracy Renovation is reflecting on how we arrived at this moment and where we are headed.
Policy Brief
Plural Publics
The authors highlight why we believe the problem of “plural publics” to be a core challenge of data governance, discuss existing tools that can help achieve it and a research agenda to further develop and integrate these tools.
By:
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Divya Siddarth
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Glen Weyl
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Shrey Jain
Programs
Issues
Data governance is usually conceptualized in terms of “privacy” v. “publicity”. Yet a core feature of pluralistic societies is association, groups that share with each other, privately. These are a diversity of “publics”, each externally private but with the ability to coordinate and share internally. Empowering them requires tools that allow the establishment of shared communicative contexts and their defense against external sharing outside of context. The ease of spreading information online has challenged such “contextual integrity” and the rise of generative foundation models like GPT-4 may radically exacerbate this challenge. In the face of this challenge, we highlight why we believe the problem of “plural publics” to be a core challenge of data governance, discuss existing tools that can help achieve it and a research agenda to further develop and integrate these tools.
Related Resources
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.
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.
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.
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.
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.