"I just assumed that it would translate": examining MT risk awareness among healthcare staff with abbreviations as a use case
arXiv cs.AIen
arXiv cs.AI
AI Global WirearXiv:2610.02496v1 Announce Type: new 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 wel
This is a short summary published by AI Global Wire. The full article is owned and hosted by arXiv cs.AI — open it there to read it in full.
Read the full story at arXiv cs.AI- Forskning
Related AI news
- Tech giants push into Australia for AI data centersDIGITIMES · October 5, 2026
- The AI Risk Observatory: What Can We Learn from AI Disclosures in Annual Reports About Societal Resilience?arXiv cs.AI · October 5, 2026
- DeReAct: Decomposed Reasoning and Acting for Reliable AI AgentsarXiv cs.AI · October 5, 2026
- World Action Modeling with Progressive Visual PlanningarXiv cs.AI · October 5, 2026
- Choosing Before Acting: Comparative Value Estimation for Long-Horizon Tool-Use AgentsarXiv cs.AI · October 5, 2026
- TasteBench: Multimodal Benchmark for Sensory Prediction, from Molecules to Sustainable FoodsarXiv cs.AI · October 5, 2026