arXiv cs.CL· Antonio San Martin·· 12 小时前AI 评分18
面向以人为本的 AI 辅助术语工作
Toward Human-Centered AI-Assisted Terminology Work
AI 导读
论文主张以“以人为本的 AI”框架推进术语工作自动化：LLM 因错误、幻觉和各类偏见在术语用途上仍不可靠，术语专家不可替代。作者认为高度自动化与有意义的人类控制可以并存，AI 应增强术语专家能力并保留其决策权，并从增强型术语专家、伦理 AI 与人本设计三个维度展开分析。
正文 · 原文
Abstract:Generative AI is likely to transform terminology work by creating new opportunities for automation. At the same time, it raises concerns about the future of terminologists and terminological resources, as efficiency pressures may encourage excessive automation based on the perception that human expertise can be replaced by AI. However, large language models remain unreliable for terminological purposes due to errors, hallucinations, and various forms of bias, making terminologists indispensable for ensuring the accuracy and reliability of terminological data. This paper argues that human-centered AI, an approach that emphasizes that AI's primary goal should be to contribute to human well-being, provides a framework for maximizing the benefits of generative AI while mitigating its risks. It contends that high levels of automation and meaningful human control are compatible and desirable, and that AI should enhance terminologists' capabilities while preserving their agency and decision-making authority. The implications of AI-assisted terminology work are examined through three interrelated dimensions: the augmented terminologist, ethical AI, and human-centered design. In particular, the paper examines how AI integration reshapes the role of the terminologist, affects professional values and working conditions, requires the management of AI-generated bias, and calls for the design of AI tools around the terminologist's needs. The paper concludes that a human-centered orientation is necessary to ensure that AI strengthens, rather than undermines, the essential role of terminology work in supporting specialized communication and the accurate transmission of knowledge across languages and cultures.
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2512.18859 [cs.CL] |
| (or arXiv:2512.18859v4 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2512.18859 arXiv-issued DOI via DataCite |
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| Journal reference: | Terminology (2026), advance online publication |
| Related DOI: | https://doi.org/10.1075/term.00095.mar
DOI(s) linking to related resources |
Submission history
From: Antonio San Martín [view email]
[v1]
Sun, 21 Dec 2025 19:16:40 UTC (372 KB)
[v2]
Wed, 24 Dec 2025 18:41:46 UTC (367 KB)
[v3]
Wed, 17 Jun 2026 11:35:19 UTC (426 KB)
[v4]
Thu, 15 Oct 2026 21:02:17 UTC (2,605 KB)
来源：arXiv cs.CL · arxiv.org