翻译与数据伦理
摘要
本章介绍了翻译领域的数据伦理,讨论了版权、所有权和偏见等适用于各类数据的伦理问题,并特别关注少数语言社区和数字鸿沟两侧群体所面临的权力失衡问题,最后探讨了责任与监管。
arXiv:2610.28710v1 Announce Type: new
Abstract: This chapter introduces data ethics for translation and discusses a number of ethical issues regarding data. These include issues of copyright, ownership and bias, which apply to all types of data, whereas there are further issues particular to minoritised language communities and those on either side of the digital divide, as data is implicated in power imbalances and dynamics. We close with a discussion of responsibility and regulation, and reflect on the growing attention on data ethics from translation studies researchers.
查看缓存全文
缓存时间: 2026/10/22 16:20
# Translation and data ethics Source: [https://arxiv.org/abs/2610.28710](https://arxiv.org/abs/2610.28710) [View PDF](https://arxiv.org/pdf/2610.28710) > Abstract:This chapter introduces data ethics for translation and discusses a number of ethical issues regarding data\. These include issues of copyright, ownership and bias, which apply to all types of data, whereas there are further issues particular to minoritised language communities and those on either side of the digital divide, as data is implicated in power imbalances and dynamics\. We close with a discussion of responsibility and regulation, and reflect on the growing attention on data ethics from translation studies researchers\. ## Submission history From: Joss Moorkens \[[view email](https://arxiv.org/show-email/a8a31de8/2610.28710)\] **\[v1\]**Tue, 20 Oct 2026 17:04:54 UTC \(149 KB\)
相似文章
最小众的语言或许能告诉我们,AI 真正的优化目标是什么
文章探讨了大型AI模型在小语种和地方方言上的表现不佳问题:训练数据不足导致翻译生硬怪异,并可能把用户推向主流语言。文章提出AI公司是否应承担支持小语种的责任,即使缺乏商业回报。
Don’t Outsource AI’s Ethics to the Market
本文探讨人工智能伦理决策不应依赖市场机制,呼吁公众参与和国际协调以应对存在性风险并确保财富公平分配。
法律翻译的AI素养:培养数字韧性
一篇学术论文,探讨法律翻译中的AI素养,重点是为使用AI工具的译者培养数字韧性。
翻译中的迷失:普遍伦理价值如何在全球语境中失败
本文基于专家访谈,探讨了普遍AI伦理价值如何在全球语境中失败翻译,并提出了上下文敏感的多元治理途径。
The copyright argument against AI, taken to its logical end, would make androids like Data illegal
文章从版权法角度论证,如果严格解读训练即侵权,那么《星际迷航》中的类人机器人Data也将违法,而人类对机器人的集体向往和战略利益决定了AI不会因版权被禁止。