Danielle Allen
James Bryant Conant University Professor
GETTING-Plurality
A part of the Allen Lab for Democracy Renovation, GETTING-Plurality is a multi-disciplinary research network linking philosophers, social scientists, computer scientists, legal scholars, and technologists
Governance of Emerging Technology and Tech Innovations for Next-Gen Governance (GETTING-Plurality) is a multi-disciplinary research network linking philosophers, social scientists, computer scientists, legal scholars, and technologists. We are building a unique collaborative that unites tech ethics initiatives at Harvard University with external impact partners across higher education and the tech industry, bringing philosophers and ethicists to the table for every project.
The network is housed in the Allen Lab for Democracy Renovation.
Our Mission
We’re at a pivotal moment. To promote universal well-being, we need to promote the responsible governance of innovation and responsibly innovate the way we govern.
GETTING-Plurality seeks to advance understanding of how to shape, guide, govern, and deploy technological development in support of democracy, collective intelligence, and other public goods. Our focus is on how to do so, given the plural nature of human intelligence. We pursue foundational analysis and theory, field-building, and policy development to foresee and mitigate potential harms to democracy and to strengthen the public benefit and democracy-supportive effects flowing from technology innovation.
Research Areas
This network will convene multi-disciplinary teams to tackle questions of how to govern emerging technologies and how to deploy emerging technologies for governance from a multiplicity of viewpoints and expertise.
Leadership
Darshan Goux
Senior Lab Director, Allen Lab for Democracy Renovation
Sarah Hubbard
Senior Fellow, Allen Lab for Democracy Renovation
Allison Stanger
Non-resident Senior Fellow, Allen Lab for Democracy Renovation;
Co-Director and Co-Investigator, GETTING-Plurality Research Network
Network Members
Tina Eliassi-Rad
Professor, Northeastern University
Ami Fields-Meyer
Non-Resident Senior Fellow, Allen Lab for Democracy Renovation
July 2024-June 2025
Zoë Hitzig
Junior Fellow, Harvard Society of Fellows
Saffron Huang
Co-Founder, Collective Intelligence Project
Shrey Jain
Researcher, Microsoft Research
Jonas Kgomo
Founder, Equiano Institute
Yu-Ting Kuo
Faculty Member, MIT and National Tsing Hua University
Seth Lazar
Professor of Philosophy at the Australian National University
Anna Lewis
Research Scientist, Brigham and Women's Hospital and Harvard Medical School
Puja Ohlhaver
Researcher & Lawyer
Omoaholo Omoakhalen
Founder, Remake Africa & Plurality Lead, School of Politics, Policy and Governance
Aviv Ovadya
Affiliate, Berkman-Klein Center, Harvard Law School & Affiliate, Centre for the Governance of AI
Alexander Pascal
Senior Fellow, Allen Lab for Democracy Renovation
Nick Pyati
Strategy, Microsoft
Mathias Risse
Faculty Director, Carr Center for Human Rights Policy & Professor, Harvard Kennedy School
Bruce Schneier
Adjunct Lecturer in Public Policy
Divya Siddarth
Co-Founder, Collective Intelligence Project
Ajeet Singh
Physician Instructor and Clinical Informaticist, Rush University Medical Center
Meredith Sumpter
CEO & Managing Partner, Just Equity
Shlomit Wagman
Visiting Fellow
Glen Weyl
Research Lead, Microsoft Research, Plural Technology Collaboratory & Founder, RadicalxChange Foundation
Zachary Wojtowicz
Postdoctoral Fellow in Psychology and Economic Theory, Harvard University
Kinney Zalesne
Former Co-Head of Corporate Strategy, Microsoft
Graduate Student Network Members
Nate Hiatt
PhD Candidate in Political Science, Yale University
Uma Ilavarasan
PhD Candidate in Government, Harvard University
Woojin Lim
Researcher, Harvard College
Charlotte Siegmann
PhD Candidate in Economics, MIT
Luke Thorburn
PhD Candidate, King's College London
Upcoming Events
The Role of AI in the 2024 Elections
Online Event
Virtual Event
2:00 pm – 3:00 pm EST
The latest news, resources, and research
Commentary
Tech Policy that (Actually) Serves the People
Allen Lab for Democracy Renovation Fellow Ami Fields-Meyer lays out research questions for developing a new U.S. tech policy agenda that puts people first.
Occasional Paper
The National Security Case for Public AI
Allen Lab for Democracy Renovation Fellow Alex Pascal and Vanderbilt Law Professor Ganesh Sitaraman make the case that public options for AI and public utility-style regulation of AI will enhance national security by ensuring innovation and competition, preventing abuses of power and conflicts of interest, and advancing public interest and national security goals.
Commentary
GETTING-Plurality Public Comment on U.S. AI Safety Institute Guidance
The GETTING-Plurality Research Network recently submitted a public comment on the NIST U.S. AI Safety Institute’s “Managing Misuse Risk for Dual-Use Foundation Models” draft guidance. The full text of the public comment can be found below.
Podcast
Conference on the Political Economy of AI Podcast Episodes
Check out the podcast episodes from the Allen Lab for Democracy Renovation’s Conference on the Political Economy of AI to glean insights from each panel.
Feature
AI and Democracy Summer Reading List
This list, curated by the GETTING-Plurality Research Network at the Allen Lab for Democracy Renovation, highlights a mix of foundational texts and new thinking on the timely issue of how AI will impact democracy, especially as we head into election season.
Feature
Conference on the Political Economy of AI
Experts gathered at the Allen Lab conference to examine the incentives and structures of AI development, as well as to discuss the past, present, and potential future of steering AI towards better serving the public interest.
Feature
AI and the 2024 Elections
From misinformation to AI panic, experts joined the Allen Lab’s GETTING-Plurality event to discuss the threats the burgeoning technology poses to democracy.
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.
Video
GETTING-Plurality Conference on the Political Economy of Artificial Intelligence
The Political Economy of AI Conference was convened by the GETTING-Plurality Research Network, a project of the Allen Lab for Democracy Renovation, housed at the Harvard Kennedy School’s Ash Center for Democratic Governance and Innovation.
Additional Resource
Terra Incognita: The Governance of Artificial Intelligence in Global Perspective
GETTING-Plurality Research Network members Allison Stanger and Woojin Lim, along with other authors, published “Terra Incognita: The Governance of Artificial Intelligence in Global Perspective” in the Annual Review of Political Science.
Video
AI and the Future of Privacy
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 Future of Privacy”. In this session, we hear from Bruce Schneier, security technologist, and Faculty Affiliate at the Ash Center; Sarah Roth-Gaudette, Executive Director of Fight for the Future; and Tobin South, MIT Ph.D. Candidate and Fulbright Scholar. Each presenter gives a lightning talk, followed by audience Q&A.
Policy Brief
AGI and Democracy
We face a fundamental question: is the very pursuit of Artificial General Intelligence (AGI) the kind of aim democracies should allow?
Additional Resource
Democracy as Approximation: A Primer for “AI for Democracy” Innovators
This essay was adopted from a presentation given by Aviv Ovadya at the Second Interdisciplinary Workshop on Reimagining Democracy held on the campus of Harvard Kennedy School in December 2023.
Video
GETTING-Plurality — “A Roadmap for Governing AI: Technology Governance and Power-Sharing Liberalism”
This GETTING-Plurality Research workshop session features Danielle Allen, James Bryant Conant University Professor at Harvard University, Director of the Allen Lab, and presenting author of “A Roadmap for Governing AI: Technology Governance and Power-Sharing Liberalism.” Allen was joined in conversation by commentator Rob Reich, McGregor-Girand Professor of Social Ethics of Science and Technology, Stanford
Additional Resource
The Real Dangers of Generative AI
“The Real Dangers of Generative AI” by Danielle Allen and Glen Weyl was featured in the January 2024 Journal of Democracy.
Abstract: As perhaps the most consequential technology of our time, Generative Foundation Models (GFMs) present unprecedented challenges for democratic institutions. By allowing deception and de-contextualized information sharing at a previously unimaginable scale and pace, GFMs could undermine the foundations of democracy. At the same time, the investment scale required to develop the models and the race dynamics around that development threaten to enable concentrations of democratically unaccountable power (both public and private). This essay examines the twin threats of collapse and singularity occasioned by the rise of GFMs.
