
Event
Artificial Intelligence and Democratic Freedoms
A symposium on the risks that advanced AI systems pose to democratic freedoms as well as interventions to mitigate these risks
On April 10-11, 2025, the Knight Institute will host a symposium to examine the risks that advanced artificial intelligence systems pose to democratic freedoms, to discuss sociotechnical as well as technical interventions to mitigate these risks, and to identify ways in which these systems may be employed to support democracy. The symposium, “Artificial Intelligence and Democratic Freedoms,” is a collaboration between the Knight Institute and the Institute’s Senior AI Advisor Seth Lazar.
Read more about the participants and papers here.
The symposium, which is co-sponsored by the Knight Institute and Columbia Engineering, will take place in person at Columbia University’s Lee C. Bollinger Forum and will be livestreamed.
More speakers to be announced. RSVP for in-person and/or virtual attendance.
Schedule
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Lee C. Bollinger Forum and online
601 W 125th St, New York, NY 10027
Welcome
- Jameel Jaffer, Knight Institute
Panel 1: Regulating AI in a Time of Democratic Upheaval
Liberal democracies had almost reached consensus on how to regulate narrow AI when ChatGPT came along and general purpose AI took center stage. How should regulatory proposals adapt to this new reality—and what prospects are there for effective regulation when the global geopolitical order is being reconfigured?
Panelists
- Atoosa Kasirzadeh, Carnegie Mellon University
- Deirdre K. Mulligan, University of California, Berkeley
- Arvind Narayanan, Princeton University
- Alondra Nelson, Institute for Advanced Study
Moderator
- To be announced.
Break
Panel 2: AI Agents’ Democratic and Economic Impacts
The most consequential societal impacts of large language models will come not through the content they generate but through the cognitive resources they provide to effective software agents. This panel considers how these agents in turn will reconfigure political and economic realities.
Panelists
- Kevin Feng, University of Washington
- Peter Henderson, Princeton University
- Seth Lazar, Knight Institute; The Australian National University
- Daniel Susskind, King’s College London
Moderator
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Beba Cibralic, RAND
Lunch
Lunch will be provided.
Keynote Address and Q&A
- Ben Buchanan, Johns Hopkins University
Break
Panel 3: Evaluation and Design of Safe AI
Advances in large language models were enabled by, and fostered, a boom in technical AI safety research. But narrowly technical approaches not only mischaracterize AI risks, they miss key opportunities for mitigating them. This panel fosters a more multidisciplinary, sociotechnical approach to technical AI safety.
Panelists
- Gillian Hadfield, Johns Hopkins University
- Hoda Heidari, Carnegie Mellon University
- Lujain Ibrahim, University of Oxford
- Sydney Levine, Allen Institute for AI
Moderator
- Helen Toner, Georgetown University
Break
Panel 4: Using AI to Enhance Democracy
Democratic freedoms are imperiled by affective polarization and radicalization. This panel explores how AI can, and cannot, be used to forge agreement or even consensus in formal and informal democratic deliberation.
Panelists
- Spencer Overton, George Washington University
- MH Tessler, Google DeepMind
- Luke Thorburn, King’s College London
- Additional panelist to be announced.
Moderator
- To be announced.
Closing Remarks
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Lee C. Bollinger Forum and online
601 W 125th St, New York, NY 10027
Welcome
Panel 5: Reframing AI in the Digital Public Sphere
Democracies depend on a vibrant public sphere. No social institution has been more shaped by narrow AI than the digital public sphere—by most accounts, to its detriment. This panel asks if more capable general purpose AI systems can do better.
Panelists
- Sacha Altay, University of Zurich
- Joshua P. Darr, Syracuse University
- Manon Revel, Meta FAIR
- Ranjit Singh, Data & Society
Moderator
- Nadine Farid Johnson, Knight Institute
Break
Panel 6: AI, Freedom of Expression, and Democratic Backsliding
As large language models become more and more integrated into the information environment, alignment techniques designed to limit AI companies’ exposure to liability and public embarrassment are affecting the expressive interests of model users (including jailbreakers). At the same time, the community of research on AI risks is facing unprecedented political intervention into the content and methods of its research. All this is happening at a moment of rising authoritarianism and democratic backsliding. This panel asks how to square the values of safe AI with core principles of freedom of expression—preserving expressive interests against both private and state control.
Panelists
- Aziz Huq, University of Chicago Law School
- More panelists to be announced.
Moderator
- Katy Glenn Bass, Knight Institute
Lunch
Keynote Address and Q&A
- Keynote speaker to be announced.
Break
Panel 7: Transitions to Transformative AI
Even if AI capabilities stalled out at their present level, the societal ramifications would be massive. But if progress continues at roughly the same pace, we may be dealing with even more profoundly transformative AI systems within the decade. This panel seeks to get on the front foot—to characterize what ‘transformative AI’ would mean, how it would differ from what has been realized so far, and how to develop societal resilience to the potential for further radical social change.
Panelists
- Justin Bullock, University of Washington
- Rumman Chowdhury, Humane Intelligence
- Séb Krier, Google DeepMind
- Additional panelist to be announced.
Moderator
- Seth Lazar, Knight Institute; The Australian National University
Closing Remarks
Speakers
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Ben Buchanan
Johns Hopkins University School of Advanced International Studies
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Justin Bullock
University of Washington Evans School of Governance
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Rumman Chowdhury
Humane Intelligence
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Beba Cibralic
RAND
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Nadine Farid Johnson
Policy Director, Knight Institute
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Katy Glenn Bass
Research Director, Knight Institute
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Gillian K. Hadfield
Johns Hopkins University Whiting School of Engineering
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Peter Henderson
Princeton University
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Aziz Z. Huq
University of Chicago Law School
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Lujain Ibrahim
University of Oxford
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Jameel Jaffer
Executive Director, Knight Institute
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Atoosa Kasirzadeh
Carnegie Mellon University
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Seth Lazar
Senior AI Advisor 2024-2025; Australian National University
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Sydney Levine
Google DeepMind
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Arvind Narayanan
Knight Institute Visiting Senior Research Scientist 2022-2023; Princeton University
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Alondra Nelson
Institute for Advanced Study
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Manon Revel
Meta FAIR, Berkman Klein Center
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Ranjit Singh
Data & Society
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Daniel Susskind
King’s College London, University of Oxford
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Luke Thorburn
King's College London