将大型语言模型用于人道主义前线谈判：机遇与考量
Using Large Language Models for Humanitarian Frontline Negotiation: Opportunities and Considerations
AI总结：
本研究通过访谈13名前线谈判者，探讨了大型语言模型在人道主义前线谈判中的AI辅助潜力，评估了基于ChatGPT的谈判工具，揭示了其增强谈判的潜力及伦理考量。
摘要：
冲突地区的人道主义谈判，即前线谈判，通常具有高度的对抗性、复杂性和高风险性。多年来涌现出若干最佳实践，帮助谈判者从大型数据集中提取洞察，以应对微妙且快速演变的局势。大型语言模型（LLMs）的最新进展引发了人们对AI在前线谈判中辅助决策潜力的兴趣。通过对13名经验丰富的前线谈判者进行深度访谈，我们识别出他们对AI辅助案例分析和创意支持的需求，以及对机密性和模型偏见的担忧。我们进一步探索了AI增强前线谈判规划中使用的三种标准工具的潜力。我们在两个真实案例的背景下，评估了基于ChatGPT的谈判工具的质量和稳定性。我们的研究结果突出了LLMs增强人道主义谈判的潜力，并强调需要进行审慎的伦理和实际考量。
英文摘要：
Humanitarian negotiations in conflict zones, called \emph{frontline negotiation}, are often highly adversarial, complex, and high-risk. Several best-practices have emerged over the years that help negotiators extract insights from large datasets to navigate nuanced and rapidly evolving scenarios. Recent advances in large language models (LLMs) have sparked interest in the potential for AI to aid decision making in frontline negotiation. Through in-depth interviews with 13 experienced frontline negotiators, we identified their needs for AI-assisted case analysis and creativity support, as well as concerns surrounding confidentiality and model bias. We further explored the potential for AI augmentation of three standard tools used in frontline negotiation planning. We evaluated the quality and stability of our ChatGPT-based negotiation tools in the context of two real cases. Our findings highlight the potential for LLMs to enhance humanitarian negotiations and underscore the need for careful ethical and practical considerations.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
