arXiv：cs.AI· Eleanor Taylor-Stilgoe, F\'elix do Carmo, Constantin Or\u{a}san·· 5 小时前AI 评分24
研究：英国医护人员对机器翻译风险的认知——以医学缩写翻译为例
"I just assumed that it would translate": examining MT risk awareness among healthcare staff with abbreviations as a use case
AI 导读
英国医护人员在跨语言沟通中主要依赖 Google Translate 等机器翻译工具，但对高风险场景下的潜在风险认知有限。研究以医学缩写为用例，向 21 名不同岗位的医护人员展示经 Google Translate 翻译的法语和西班牙语临床语料，通过半结构化访谈和定性分析考察其对机器翻译风险的认知。
正文
Abstract:In the UK, public healthcare staff report turning to machine translation (MT) - predominantly Google Translate (GT) - to communicate with patients across language barriers. Though intended to support their duty of care, potentially uninformed reliance on MT in such contexts could have serious consequences for patient safety. Research nonetheless remains limited on staff awareness of the possible risks posed by higher-stakes MT use in general and with patient medical records in particular, most existing literature instead examining its use in interpersonal situations or with patient-oriented documentation. Moreover, medical abbreviations are well-documented as increasing patient risk even monolingually, with outcomes from their misuse and/or misinterpretation ranging from temporary harm to the death of the patient. Abbreviations were therefore selected as a use case for identifying the potential risks posed by their translation with MT. Contextualised French and Spanish data examples drawn from authoritative clinical corpora and translated via GT were presented during semi-structured interviews to 21 healthcare staff participants in diverse roles and specialties. The results were then subject to qualitative analysis and cross-analysis.
| Comments: | To appear in the proceedings of Convergence 2026 conference |
| Subjects: | Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.02496 [cs.AI] |
| (or arXiv:2610.02496v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.02496 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Constantin Orasan [view email]
[v1]
Thu, 1 Oct 2026 21:18:43 UTC (478 KB)
来源：arXiv：cs.AI · arxiv.org