梳理NLP在社会公益中的应用现状与挑战，呼吁负责任的跨学科合作。
NLP for Social Good: A Survey and Outlook of Challenges, Opportunities, and Responsible Deployment
- 系统总结九个社会领域中NLP的应用任务与难题
- 发现贫困、和平建设等关键领域研究仍不足
- 强调以人为本与跨领域协作对技术向善的重要性
自然语言处理（NLP）已深刻影响世界，但其在社会公益领域的潜力尚未充分挖掘。本文综述了与全球发展和风险应对相关的九个领域中‘NLP for Social Good’（NLP4SG）的研究进展，总结了主要任务与挑战。通过分析ACL Anthology趋势发现，包容性与人工智能危害是当前最受关注的方向，而贫困、和平建设及环境保护等议题仍相对被忽视。基于此，本文提出负责任且公平的NLP发展机会，并呼吁加强跨学科合作与以人为核心的方法，确保未来NLP技术真正服务于公共利益。
原文摘要 · Abstract (English)
Natural language processing (NLP) now shapes many aspects of our world, yet its potential for positive social impact is underexplored. This paper surveys work in ``NLP for Social Good" (NLP4SG) across nine domains relevant to global development and risk agendas, summarizing principal tasks and challenges. We analyze ACL Anthology trends, finding that inclusion and AI harms attract the most research, while domains such as poverty, peacebuilding, and environmental protection remain underexplored. Guided by our review, we outline opportunities for responsible and equitable NLP and conclude with a call for cross-disciplinary partnerships and human-centered approaches to ensure that future NLP technologies advance the public good.
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