发表机构
Université du Québec à Trois-Rivières（魁北克三河城大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文针对人工智能辅助词典编纂提出以人为本的框架，借鉴相关原则和应用确定四个维度，认为人工智能应增强而非取代词典编纂者，强调保持专业自主性等，为人工智能融入词典编纂工作流程提供基础。
AI 中文摘要
本文提出了一个用于人工智能辅助词典编纂的以人为本的人工智能（HCAI）框架。生成式人工智能为提升词典编纂工作带来了重大机遇，但也引发了对词典编纂者未来角色以及语言和文化多样性保护的担忧。借鉴HCAI原则及在其他语言职业中的应用，确定了四个相互关联的维度来理解和审视人工智能在词典编纂中的整合：增强型词典编纂者、人工智能整合的社会技术背景、偏差以及人工智能驱动的词典编纂工具设计。该框架认为人工智能应增强而非取代词典编纂者，将高度自动化与有意义的人工控制相结合。还强调了保持专业自主性、减轻人工智能产生的偏差以及围绕词典编纂者需求设计工具的重要性。这为未来研究及人工智能有益融入词典编纂工作流程奠定了基础。
英文摘要
This paper proposes a human-centered artificial intelligence (HCAI) framework for AI-assisted lexicography. While generative AI offers significant opportunities to enhance lexicographic work, it also raises concerns regarding the future role of lexicographers and the preservation of linguistic and cultural diversity. Drawing on HCAI principles and previous applications in other language professions, the paper identifies four interrelated dimensions through which AI integration in lexicography can be understood and critically examined: the augmented lexicographer, the sociotechnical context of AI integration, bias, and the design of AI-powered lexicographic tools. The framework argues that AI should augment rather than replace lexicographers, combining automation with meaningful human control. It further emphasizes the importance of preserving professional agency, mitigating AI-generated biases, and designing tools around the needs of lexicographers. By doing so, the paper provides a foundation for future research and the beneficial integration of AI into lexicographic workflows.
Journal refProceedings of the XXII EURALEX International Congress 2026. Austrian Academy of Sciences, Vienna (2026), pp. 203-216
