Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Language discrepancies in the performance of generative artificial intelligence models: an examination of infectious disease queries in English and Arabic
21
Zitationen
9
Autoren
2024
Jahr
Abstract
Disparity in AI model performance was noticed between English and Arabic in response to infectious disease queries. This language variation can negatively impact the quality of health content delivered by AI models among native speakers of Arabic. This issue is recommended to be addressed by AI developers, with the ultimate goal of enhancing health outcomes.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.312 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.169 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.564 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.466 Zit.