English(EN) Toward Human-Centered AI-Assisted Terminology Work

论文提倡面向人类的AI在术语工作中的应用

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-19 04:00

一篇新论文提出了一种将生成式AI融入术语工作的面向人类的方法，强调AI应增强而非取代人类术语工作者。作者认为，虽然AI可以自动化某些任务，但其不可靠性需要人类监督以确保准确性和管理偏见。该框架旨在增强术语工作者的能力和决策权，确保AI支持专业交流和知识传播。 AI

影响该论文提出了一个优先考虑人类专业知识的AI集成框架，可能影响AI工具在专业领域的发展。

排序理由该集群包含一篇讨论AI应用和伦理的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群包含一篇讨论AI应用和伦理的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 110 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

arXiv cs.CL TIER_1 English(EN) · Antonio San Martin · 2026-06-19 04:00

迈向以人为本的人工智能辅助术语工作

arXiv:2512.18859v3 Announce Type: replace 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 ma…