Abstract
A growing body of work has shown that AI-Assisted methods-leveraging large language models, social choice methods, and collective dialogues-can help navigate polarization and surface common ground in controlled lab settings. But what can these approaches contribute in real-world contexts? We present a case study applying these techniques to find common ground between Israeli and Palestinian peacebuilders in the period following October 7th, 2023. From April to July 2024 an iterative deliberative process combining LLMs, bridging-based ranking, and collective dialogues was conducted in partnership with the Alliance for Middle East Peace. Around 138 civil society peacebuilders participated including Israeli Jews, Palestinian citizens of Israel, and Palestinians from the West Bank and Gaza. The process resulted in a set of collective statements, including demands to world leaders, with at least 84% agreement from participants on each side. In this paper, we document the process, results, challenges, and important open questions.
| Original language | English |
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| Title of host publication | ACMF AccT 2025 - Proceedings of the 2025 ACM Conference on Fairness, Accountability,and Transparency |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 312-333 |
| Number of pages | 22 |
| ISBN (Electronic) | 9798400714825 |
| DOIs | |
| State | Published - 23 Jun 2025 |
| Event | 8th Annual ACM Conference on Fairness, Accountability, and Transparency, FAccT 2025 - Athens, Greece Duration: 23 Jun 2025 → 26 Jun 2025 |
Publication series
| Name | ACMF AccT 2025 - Proceedings of the 2025 ACM Conference on Fairness, Accountability,and Transparency |
|---|
Conference
| Conference | 8th Annual ACM Conference on Fairness, Accountability, and Transparency, FAccT 2025 |
|---|---|
| Country/Territory | Greece |
| City | Athens |
| Period | 23/06/25 → 26/06/25 |
Bibliographical note
Publisher Copyright:© 2025 Copyright held by the owner/author(s).
Keywords
- Bridging
- Bridging-Based Ranking
- Collective Dialogue
- Collective Response System
- Conflict
- Peace
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