Manon Revel

According to our database, Manon Revel authored at least 17 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2026

Architecting Trust in Artificial Epistemic Agents.

Nahema Marchal, Stephanie C. Y. Chan, Matija Franklin, Manon Revel, Geoff Keeling, Roberta Fischli, Bilva Chandra, Iason Gabriel

CoRR, March, 2026

2025

Full-Stack Alignment: Co-Aligning AI and Institutions with Thick Models of Value.

Joe Edelman, Tan Zhi-Xuan, Ryan Lowe, Oliver Klingefjord, Vincent Wang-Mascianica, Matija Franklin, Ryan Othniel Kearns, Ellie Hain, Atrisha Sarkar, Michiel A. Bakker, Fazl Barez, David Duvenaud, Jakob N. Foerster, Iason Gabriel, Joseph Gubbels, Bryce Goodman, Andreas Haupt, Jobst Heitzig, Julian Jara-Ettinger, Atoosa Kasirzadeh, James Ravi Kirkpatrick, Andrew Koh, W. Bradley Knox, Philipp E. Koralus, Joel Lehman, Sydney Levine, Samuele Marro, Manon Revel, Toby Shorin, Morgan Sutherland, Michael Henry Tessler, Ivan Vendrov, James Wilken-Smith

CoRR, December, 2025

Cultivating Pluralism In Algorithmic Monoculture: The Community Alignment Dataset.

Lily Hong Zhang, Smitha Milli, Karen Jusko, Jonathan Smith, Brandon Amos, Wassim Bouaziz, Manon Revel, Jack Kussman, Lisa Titus, Bhaktipriya Radharapu, Jane Yu, Vidya Sarma, Kris Rose, Maximilian Nickel

CoRR, July, 2025

Scaling Human Judgment in Community Notes with LLMs.

Haiwen Li, Soham De, Manon Revel, Andreas Haupt, Brad Miller, Keith Coleman, Jay Baxter, Martin Saveski, Michiel A. Bakker

CoRR, June, 2025

AI-Facilitated Collective Judgements.

Manon Revel, Théophile Pénigaud

CoRR, March, 2025

Tracking Truth with Liquid Democracy.

Adam J. Berinsky, Daniel Halpern, Joseph Y. Halpern, Ali Jadbabaie, Elchanan Mossel, Ariel D. Procaccia, Manon Revel

Manag. Sci., 2025

Representative Ranking for Deliberation in the Public Sphere.

Manon Revel, Smitha Milli, Tyler Lu, Jamelle Watson-Daniels, Maximilian Nickel

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Position: Democratic AI is Possible. The Democracy Levels Framework Shows How It Might Work.

Aviv Ovadya, Kyle Redman, Luke Thorburn, Quan Ze Chen, Oliver Smith, Flynn Devine, Andrew Konya, Smitha Milli, Manon Revel, Kevin Feng, Amy X. Zhang, Bilva Chandra, Michiel A. Bakker, Atoosa Kasirzadeh

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Arbiters of Ambivalence: Challenges of using LLMs in No-Consensus tasks.

Bhaktipriya Radharapu, Manon Revel, Megan Ung, Sebastian Ruder, Adina Williams

Proceedings of the Findings of the Association for Computational Linguistics, 2025

SEAL: Systematic Error Analysis for Value ALignment.

Manon Revel, Matteo Cargnelutti, Tyna Eloundou, Greg Leppert

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Toward Democracy Levels for AI.

Aviv Ovadya, Luke Thorburn, Kyle Redman, Flynn Devine, Smitha Milli, Manon Revel, Andrew Konya, Atoosa Kasirzadeh

CoRR, 2024

Enabling the Digital Democratic Revival: A Research Program for Digital Democracy.

Davide Grossi, Ulrike Hahn, Michael Mäs, Andreas Nitsche, Jan Behrens, Niclas Boehmer, Markus Brill, Ulle Endriss, Umberto Grandi, Adrian Haret, Jobst Heitzig, Nicolien Janssens, Catholijn M. Jonker, Marijn A. Keijzer, Axel Kistner, Martin Lackner, Alexandra Lieben, Anna Mikhaylovskaya, Pradeep K. Murukannaiah, Carlo Proietti, Manon Revel, Élise Rouméas, Ehud Shapiro, Gogulapati Sreedurga, Björn Swierczek, Nimrod Talmon, Paolo Turrini, Zoi Terzopoulou, Frederik Van De Putte

CoRR, 2024

Selecting Representative Bodies: An Axiomatic View.

Manon Revel, Niclas Boehmer, Rachael Colley, Markus Brill, Piotr Faliszewski, Edith Elkind

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

In Defense of Liquid Democracy.

Daniel Halpern, Joseph Y. Halpern, Ali Jadbabaie, Elchanan Mossel, Ariel D. Procaccia, Manon Revel

Proceedings of the 24th ACM Conference on Economics and Computation, 2023

2022

How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues.

Manon Revel, Tao Lin, Daniel Halpern

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

In Defense of Fluid Democracy.

Daniel Halpern, Joseph Y. Halpern, Ali Jadbabaie, Elchanan Mossel, Ariel D. Procaccia, Manon Revel

CoRR, 2021

The Optimal Size of an Epistemic Congress.

Manon Revel, Tao Lin, Daniel Halpern

CoRR, 2021