معرفی
Manon Revel is a Postdoctoral Research Scientist at Meta FAIR and a former Postdoctoral Employee Fellow at Harvard's Berkman Klein Center (2023–2024). She holds a PhD in Social and Engineering Systems and Statistics from MIT, alongside degrees from Ecole Centrale Paris and MIT's Technology and Policy program. Her research focuses on computational social choice, collective intelligence, and AI alignment, blending mathematics, political theory, and technology to design democratic decision-making systems. She has pioneered work on liquid democracy, governance frameworks for social media, and ethical AI alignment metrics. Revel has taught at MIT, Notre Dame, and the Kroc Institute for International Peace Studies, and led initiatives like the Future of Social Media reading group at the Institute for Rebooting Social Media. Her interdisciplinary approach addresses challenges in democratic innovation and AI ethics, with notable contributions to Management Science, AAAI, and AAMAS.
Education:
- PhD in Social and Engineering Systems & Statistics, MIT (2023)
- M.S. in Technology and Policy, MIT
- B.S./Diplôme d'Ingénieur in Engineering & Applied Mathematics, Ecole Centrale Paris
Research Interests:
- Designing mathematical models for collective decision-making in human and AI systems
- AI alignment through reward model evaluation and systematic error analysis
- Governance frameworks for social media and democratic institutions
- Liquid democracy's epistemic performance and scalability
Key Contributions: Revel's work bridges theory and practice, including the SEAL framework for AI alignment, the Democracy Levels framework for ethical AI governance, and empirical studies on liquid democracy's truth-tracking capabilities. Her publications analyze social media regulation, interdisciplinary dialogue in academia, and representative body selection using axiomatic models.
Awards & Affiliations:
- Doctoral Democracy Fellow, Harvard Kennedy School's Ash Center (2021–2023)
- Adjunct Professor, University of Notre Dame (past)
- Lead of AI & Democracy research program at Berkman Klein
- Oral presentation at AAAI-25 for SEAL: Systematic Error Analysis for Value Alignment
Labs & Collaborations: Revel collaborates with institutions like the MIT Media Lab, the Responsible AI Institute, and the Center for Strategic and International Studies, focusing on interdisciplinary projects at the intersection of technology, democracy, and ethics.
