ai.hackcv
论文精选 61arXiv

Introducing Human-Centeredness in AI-Assisted Lexicography· 引入 AI 辅助词典编撰中的人文中心主义

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 high levels of 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.

AI 解读论文

提出 AI 辅助词典编撰的人文中心框架,强调人机协同、减少偏见、保持专业自主性。

核心方法
基于 HCAI 原则,提出涵盖增强词典编纂者、社会技术背景、偏见和工具设计四个维度的综合框架。
适合谁读
研究者、产品设计者
要解决的问题
在 AI 辅助词典编撰中,如何确保技术增强而非替代人类角色,同时保持语言和文化的多样性?
关键实验
未提供
主要贡献
提供了 AI 与词典编纂流程有益结合的基础,确保技术服务于人类而非取代人类。
意义与局限
为确保 AI 在词典编纂中的应用考虑人文因素提供指导,有助于保持专业性和文化多样性,但未涉及具体技术实现。
领域:cs.CL作者:Antonio San Martin、Catherine Trekker
相关推荐

本站内容由 LLM 精选聚合,原文版权归 arXiv 所有 · 摘录仅供参考