为词典编纂设计以人为本的AI框架，强调人类主导与文化多样性保护。
Introducing Human-Centeredness in AI-Assisted Lexicography
- 构建四维HCAI框架，聚焦人机协同、社会技术背景等核心维度
- 主张AI应增强而非替代词典学家，保持专业自主权
- 适合关注AI伦理、语言多样性的词典学与人机交互研究者
本文提出一种以人为本的人工智能（HCAI）框架，用于指导人工智能辅助的词典编纂工作。尽管生成式AI为词典编纂带来巨大机遇，但也引发对词典学家未来角色及语言文化多样性保护的担忧。基于HCAI原则及在其他语言职业中的应用经验，论文识别出四个相互关联的维度：增强型词典学家、AI整合的社会技术背景、偏见问题以及面向词典学家需求的AI工具设计。框架强调AI应作为增强而非替代手段，结合自动化与有意义的人类控制。同时重视维护专业自主性，减轻AI生成偏见，并以使用者为中心设计工具。该研究为未来研究及AI在词典编纂流程中的有益融合提供了基础。
原文摘要 · Abstract (English)
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.
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