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AI framework identifies common ground in conflict resolution

Researchers have developed a novel computational argumentation framework to identify mutually acceptable peace agreements, termed a Zone of Possible Agreement (ZOPA), between conflicting parties. This approach quantifies and merges the reasoning of each side regarding potential agreement clauses, enabling negotiators to pinpoint areas of common ground. The framework was evaluated using data related to the Israeli-Palestinian conflict, demonstrating its potential to assist conflict-resolution teams in mapping feasible ZOPAs grounded in public reasoning. AI

IMPACT This research could provide new tools for AI-assisted negotiation and conflict resolution.

RANK_REASON The cluster contains an academic paper detailing a new computational framework. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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AI framework identifies common ground in conflict resolution

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Elisa Cavatorta, Antonio Rago ·

    Argumentation for Common Ground: Finding Zones of Possible Agreement between Individuals in Conflict

    arXiv:2608.15634v1 Announce Type: new Abstract: How can common ground between societies in conflict be identified when citizens' acceptability of peace agreements is shaped by contested narratives? Such acceptability is mediated not only by the clauses that agreements include or …