In-Person Book Talk – Rewiring Democracy: How AI Will Transform Our Politics, Government, and Citizenship
In-Person Event
Ash Center Seminar Room 225, Suite 200, 124 Mount Auburn Street
12:00 pm – 1:00 pm EDT
Democracy and AI
Understanding the promises and perils that AI holds for the future of our democracy
Related Programs
Allen Lab for Democracy Renovation, Allen Lab: Technology & Democracy, Nonviolent Action Lab, Reimagining Democracy Program
The proliferation of artificial intelligence has the potential to upend our democracy — for better or worse.
AI tools could allow for new forms of participation while at the same time facilitating the spread of misinformation. As regulators and policymakers struggle to understand the implications of this new technology, Ash Center experts are answering questions about how best to govern AI and not just reactively respond to the many issues that continue to arise.
Can AI be a force for good in our democracy? How do we prevent it from becoming a tool for those who wish to undermine our institutions and trust?
Explore our latest events, research, and writing below.
Upcoming Events
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Governing with AI – Learning the How-To’s of AI-Enhanced Public Engagement
Public engagement has long been too time-consuming and costly for governments to sustain, but AI offers tools to make participation more systematic and impactful. Our new Reboot Democracy Workshop Series replaces lectures with hands-on sessions that teach the practical “how-to’s” of AI-enhanced engagement. Together with leading practitioners and partners at InnovateUS and the Allen Lab at Harvard, we’ll explore how AI can help institutions tap the collective intelligence of our communities more efficiently and effectively.
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Technology and Democracy: What to Read This Summer
This list of resources, curated by the GETTING-Plurality Research Network at the Allen Lab for Democracy Renovation, highlights emerging ideas at the intersection of technology and democracy.
Feature
In Appearance Before Congress, Bruce Schneier Raises Concerns about DOGE Data Handling Practices
In a warning to lawmakers, cybersecurity expert Bruce Schneier testified before the House Committee on Oversight and Government Reform, sharply criticizing the Department of Government Efficiency’s (DOGE) handling of federal data. Describing DOGE’s security protocols as dangerously inadequate, Schneier warned that the agency’s practices have put sensitive government and citizen information at risk of exploitation by foreign adversaries and criminal networks.
Policy Brief
GETTING-Plurality Comments on the Development of a 2025 National AI R&D Strategic Plan
The GETTING-Plurality Research Network submitted a public comment on the Development of a 2025 National Artificial Intelligence Research and Development Strategic Plan.
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How Do Legislators Think Democracy Should Work? Evidence from the United States and Germany
What kind of democracy do legislators want? This question was at the center of a recent discussion with Melody Crowder-Meyer, associate professor of political science at Davidson College, as part of the American Politics Speaker Series.
Policy Brief
GETTING-Plurality Comments on Modernizing the Privacy Act of 1974
The GETTING-Plurality Research Network submitted a comment to Representative Trahan’s Request for Information to modernize the Privacy Act of 1974.
Commentary
AI on the Ballot: How Artificial Intelligence Is Already Changing Politics
At a recent Ash Center panel, experts and AI developers discuss how AI’s influence on politics has evolved over the years. They examine the new tools available to politicians, the role of humans in AI’s relationship with governance, and the values guiding the design of these technologies.
Commentary
Weaponized AI: A New Era of Threats and How We Can Counter It
Allen Lab for Democracy Renovation Fellow Dr. Shlomit Wagman lays out a framework to address the threats artificial intelligence poses to global security and democratic institutions.
Additional Resource
Why US States Are the Best Labs for Public AI
In a recent piece for Tech Policy Press, Allen Lab Senior Fellow Alex Pascal and Nathan Sanders outline how US states are well-positioned to lead the development of Public AI. State governments can act as “laboratories of twenty-first century democracy” to experiment with AI applications that directly benefit citizens.
Additional Resource
Understanding DOGE and Your Data
Over the past several weeks, the Department of Government Efficiency (DOGE) within the Trump Administration has been embedding staff in a range of United States federal agencies. These staff have gained access to data maintained by the federal government. This guide explains what is in the data, what DOGE is doing with it, and why it matters to all Americans.
Policy Brief
GETTING-Plurality Comments on White House OSTP AI Action Plan
The GETTING-Plurality Research Network submitted a public comment on the White House Office of Science and Technology Policy Request for Information on the Development of an Artificial Intelligence Action Plan.
Commentary
AI-powered bots and electoral participation: a view from the Venezuelan experience
Drawing from her experience deploying an AI-powered chatbot to share accurate voting information during Venezuela’s recent election, Isabella Picón explains how AI technologies can enhance electoral participation and support pro-democracy movements.
Commentary
Using AI Now to Improve Movements’ Effectiveness: A Basic Introduction Guide for Social Activists
Freddy Guevara offers a fundamental playbook for social activists on how to augment advocacy efforts with artificial intelligence technologies
Commentary
Unlocking AI’s potential for social movements
Building effective channels for the interaction between AI developers and activist communities is critical for innovating social mobilization and strengthening civil society.
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The AI and Democracy Movements Workshop: A Postscript
Erica Chenoweth shares a brief addendum to the Nonviolent Action Lab’s workshop held in December 2024 on how AI can influence social mobilization, for better or worse.