aiqbench analysis
This study investigates the viability of generative AI for translating high-stakes emergency instructions, finding that while discourse-specific prompts enhance clarity, human oversight remains essential for error detection and ethical accountability. The research highlights a critical trade-off between the speed gains from automated translation and the non-negotiable need for rigorous revision in life-critical scenarios.
Generative AI translations in high-stakes emergency messaging
arXiv:2610.08601v1 Announce Type: new Abstract: 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.
Abstract: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.
Computation and Language (cs.CL)
arXiv:2610.08601 [cs.CL]
(or arXiv:2610.08601v1 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2610.08601 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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