高风险应急消息中的生成式人工智能翻译
Generative AI translations in high-stakes emergency messaging
- Universitat Rovira i Virgili（罗维拉-威尔吉利大学）
- University of Melbourne（墨尔本大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本研究探讨生成式AI在高风险应急消息翻译中的应用，实验表明特定语篇提示可提升翻译的可理解性与可操作性，但人工修订与责任承担仍不可或缺。
AI中文摘要：
极端天气报告和地震指令等应急消息可能涉及高风险，以至于翻译错误可能导致悲剧性后果。因此，可能不建议使用机器翻译或生成式人工智能。另一方面，初始翻译节省的时间可以允许在修订和授权过程中投入更多资源，并覆盖更广泛的目标语言。一项使用生成式人工智能将地震指令文本从英语翻译成中文和西班牙语的实验表明，使用特定于语篇的提示可以显著提高可理解性和可操作性，尽管这些翻译可能仍不被翻译人员信任。人工修订仍然是必需的，不仅是为了检测错误，还因为在这种消息中，需要有人对任何错误或延误承担责任，这是出于伦理的需要。
英文摘要：
Emergency messaging such as extreme-weather reports and earthquake instructions can involve high stakes, to the extent that translation errors can lead to tragic consequences. The use of machine translation or generative artificial intelligence might therefore not be recommended. On the other hand, time savings in the initial translation can allow greater investments of resources in revision and authorization processes, as well as a wider range of target languages. An experiment with generative AI translations of an earthquake instruction text from English into Chinese and Spanish shows that use of discourse-specific prompts can considerably improve understandability and actionability, although the translations may still not be trusted by translators. Human revision is still required, not only to detect errors but also because of the ethical need for someone to take responsibility for any errors or delays in such messaging.
