Detecting Human Bias in Emergency Triage Using LLMs

The surge in AI-based research for emergency healthcare presents challenges such as data protection compliance and the risk of exacerbating health inequalities. Human biases in demographic data used to train AI systems may indeed be replicated. Yet, AI also offers a chance for a paradigm shift, act...

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Bibliographic Details
Published in:Proceedings of the International Florida Artificial Intelligence Research Society Conference
Main Authors: Marta Avalos, Dalia Cohen, Dylan Russon, Melissa Davids, Oceane Doremus, Gabrielle Chenais, Eric Tellier, Cédric Gil-Jardiné, Emmanuel Lagarde
Format: Article
Language:English
Published: LibraryPress@UF 2024-05-01
Subjects:
human bias
large language models
natural language processing
emergency department
triage
Online Access:https://journals.flvc.org/FLAIRS/article/view/135586

Internet

https://journals.flvc.org/FLAIRS/article/view/135586

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