arXiv:2507.10559cs.CYcs.AI2025-07被引 1

指导NLP研究者如何向公众清晰传达技术能力与边界。

NLP Meets the World: Toward Improving Conversations With the Public About Natural Language Processing Research

  • 用通俗语言替代模糊术语,避免误解
  • 纠正公众对NLP的不切实际期待
  • 强调伦理问题以维持长期社会支持

大规模语言模型的发展引发了公众对自然语言处理(NLP)的广泛关注。主流媒体常邀请NLP研究者向大众传播知识与观点。本文基于现有研究成果和新闻报道,针对三个关键障碍提出沟通建议:模糊术语阻碍公众理解,不切实际的期待威胁可持续发展,伦理失当可能引发支持流失。通过具体案例说明这些问题,并倡导以透明、有效的方式与公众交流,旨在提升公众认知,巩固对NLP研究的社会支持。

原文摘要 · Abstract (English)

Recent developments in large language models (LLMs) have been accompanied by rapidly growing public interest in natural language processing (NLP). This attention is reflected by major news venues, which sometimes invite NLP researchers to share their knowledge and views with a wide audience. Recognizing the opportunities of the present, for both the research field and for individual researchers, this paper shares recommendations for communicating with a general audience about the capabilities and limitations of NLP. These recommendations cover three themes: vague terminology as an obstacle to public understanding, unreasonable expectations as obstacles to sustainable growth, and ethical failures as obstacles to continued support. Published NLP research and popular news coverage are cited to illustrate these themes with examples. The recommendations promote effective, transparent communication with the general public about NLP, in order to strengthen public understanding and encourage support for research.

NLP公众沟通伦理

Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。