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Manon Revel

Affiliate

Manon was a Postdoctoral Employee Fellow at the Berkman Klein Center for the 2023-2024 academic year. She graduated from MIT in 2023 with a PhD in Social and Engineering Systems and Statistics. She leverages mathematics to model human and AI decision-making. On the human side of things, she investigates the emergence of collective behaviors as a function of individual decisions and how these phenomena can be factored into the design of governance systems. On the AI front, she researches the science of AI alignment: I want to understand how, why, and on what AI models get aligned during fine-tuning.

During her time at the Berkman Klein Center, Manon led the AI & Democracy research program working with interdisciplinary teams on empirical interpretability for AI alignment, governance frameworks for social media regulations, and AI agents decision-making.

Manon's publications this year include:

- SEAL: Systematic Error Analysis for Value ALignment (pre-print)

- Mapping the Space of Social Media Regulation (MIT Science Policy Review)

- Truth-tracking with Liquid Democracy (forthcoming in Management Science)

- Selecting Representative Bodies: An Axiomatic View (AAMAS)

- Can We Talk? An Argument for More Dialogue in Academia (Harvard Kennedy School Ash Center Essay Series)

She also taught the IDSS Quantitative Review at MIT as well as the Decentralized Society, Cooperation and Plurality IAP course at the MIT Media Lab together with Wes Chow. She further created the academic course for the Deliberative Technologies, Computational Democracy, and Peacebuiding workshop at Notre Dame's Krock Institute for International Peace Studies and led the Future of Social Media reading group at the Institute for Rebooting Social Media.

Prior to getting her PhD, Manon graduated from Ecole Central Paris with a B.S. in Engineering and a Diplôme d'Ingénieur (M.S. equivalent) in Applied Mathematics, and from MIT with an M.S. in Technology and Policy. She was also a Doctoral Democracy Fellow at the Ash Center for Democratic Innovations at the Harvard Kennedy School and worked at the Responsible AI Institute, Bell Labs, Palantir, and the Center for Strategic and International Studies.


Community

MIT Science Policy Review

Mapping the space of social media regulation

Nathaniel Lubin, Kalie Mayberry, Dylan Moses, Manon Revel, Luke Thorburn, and Andrew West identify two modes of mapping the space of social media regulation and discuss the trade…

Aug 27, 2024
ARXIV

SEAL: Systematic Error Analysis for Value ALignment

Manon Revel introduces evaluate metrics for rewards models' alignment with the values expressed in training datasets.

Aug 16, 2024
The Ash Center

Can We Talk? An Argument for More Dialogues in Academia

BKC Employee Fellow Manon Revel argues that more communication is key to facing the world's toughest issues.

Feb 29, 2024

Events

May 8, 2024 @ 4:00 PM

Democracy and Technology

Democratic values are facing significant challenges globally, with democratic processes often feeling stagnant as social technologies become increasingly integrated into our…