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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">ETI</journal-id><journal-title-group><journal-title>Education and Teaching Innovation</journal-title></journal-title-group><issn>2995-4894</issn><eissn>2995-4908</eissn><publisher><publisher-name>Art and Technology</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/ETI.2026060019</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>手语翻译的现实困境与人工智能的适用边界：一项全球视角与中国聚焦的批判性评论</title><url>https://artdesignp.com/journal/ETI/4/6/10.61369/ETI.2026060019</url><author>王鹏</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>4</volume><issue>6</issue><history><date date-type="pub"><published-time>2026-06-20</published-time></date></history><abstract>手语翻译是聋人社群平等参与社会的关键桥梁，长期面临服务质量、译员供给、制度保障等多重困境。本文基于2016-2026年文献与报告，从五个维度梳理手语翻译问题并评估AI适用性。研究发现，准确性不足、文化适配缺失与专业领域翻译缺口构成核心瓶颈；AI在远程平台增强方面具中等可行性，但在文化适配和专业领域翻译存在结构性盲区，其部署甚至可能加剧制度缺失与社会认知偏差。本文主张"制度引领、技术协同"路径，强调任何手语AI开发须以聋人社群实质性主导为前提。</abstract><keywords>手语翻译,人工智能,聋人社群,翻译质量,无障碍,中国</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] 徐聪. (2025). 手语翻译行业迎来发展新前景&amp;mdash;&amp;mdash; 解读《手语翻译国家职业标准（2025 年版）》. 中国残疾人, (11), 38&amp;ndash;39.[2]Han, C., &amp;amp; Xiao, X. (2021). A comparative judgment approach to assessing Chinese Sign Language interpreting. Language Testing, 39(2), 289&amp;ndash;312.[3]Lai, Z., Huang, Z., Wen, Y., &amp;amp; Feng, J. (2024). Enhancing sign language recognition and accessibility for the deaf community in China. Disability &amp;amp; Society, 40(9), 2625&amp;ndash;2630.[4]Mathew, R., &amp;amp; Dannels, W. (2025). Improving the user experience for sign language interpreters in remote interpretation for small group settings. In Proceedings of the 22nd International Web for All Conference (W4A &amp;lsquo;25) (pp. 51&amp;ndash;62). ACM.[5]EU Knowledge Centre on Translation and Interpretation. (2025). Signed language interpreting in public service and legal settings.[6]Deaf Journalism Europe. (2025). AI and machine translation: A threat to the deaf community?[7] Book118. (2026). 手语翻译服务的市场化拓展与服务场景全面覆盖研究 [ 来源权威性待核实].[8]efsli. (2025). efsli&amp;rsquo;s stance on AI and sign language interpreting: Our vision for the future [Position statement].[9] 大分市. (2020). 手話を心でつなぐ大分市手話言語条例 [ 条例].[10]Duarte, A., Albanie, S., Gir&amp;oacute;-i-Nieto, X., &amp;amp; Varol, G. (2022). Sign language video retrieval with free-form textual queries. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 14074&amp;ndash;14084). IEEE.[11]Kalinowski, M., &amp;amp; Kostek, B. (2026). Machine learning in sign language: A comprehensive analysis and trend survey. Computer Science Review, 60, Article 100895.[12]Loughrey, D. G., Brosens, C., Moiselle, R. A., Shterionov, D., Vandeghinste, V., Way, A., &amp;amp; Leeson, L. (2026). Towards equitable artificial intelligence for deaf and hard of hearing (DHH) and disabled communities: Ethical challenges and co-development. AI and Ethics, 6(4), Article 366.[13]Talksign. (2026). Introducing Talksign-1 [Blog post].[14]Desai, A., De Meulder, M., Hochgesang, J. A., Kocab, A., &amp;amp; Lu, A. X. (2024). Systemic biases in sign language AI research: A deaf-led call to reevaluate research agendas.arXiv.[15] 肖晓燕, 高昕, 赵肖. (2018). 中国大陆手语传译调查：现状、问题与前景. 中国翻译, 39(6), 66&amp;ndash;72.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
