Language discrepancies in the performance of generative artificial intelligence models: an examination of infectious disease queries in English and Arabic.

Journal: BMC infectious diseases
Published Date: Aug 8, 2024

Abstract

BACKGROUND: Assessment of artificial intelligence (AI)-based models across languages is crucial to ensure equitable access and accuracy of information in multilingual contexts. This study aimed to compare AI model efficiency in English and Arabic for infectious disease queries.

Authors

  • Malik Sallam
    Department of Pathology, Microbiology and Forensic Medicine, School of Medicine, The University of Jordan, Amman, Jordan.
  • Kholoud Al-Mahzoum
    School of Medicine, The University of Jordan, Amman, 11942, Jordan.
  • Omaima Alshuaib
    School of Medicine, The University of Jordan, Amman, 11942, Jordan.
  • Hawajer Alhajri
    School of Medicine, The University of Jordan, Amman, 11942, Jordan.
  • Fatmah Alotaibi
    School of Medicine, The University of Jordan, Amman, 11942, Jordan.
  • Dalal Alkhurainej
    School of Medicine, The University of Jordan, Amman, 11942, Jordan.
  • Mohammad Yahya Al-Balwah
    School of Medicine, The University of Jordan, Amman, 11942, Jordan.
  • Muna Barakat
    Department of Clinical Pharmacy and Therapeutics, Faculty of Pharmacy, Applied Science Private University, Amman, Jordan.
  • Jan Egger
    Institute for Computer Graphics and Vision, Faculty of Computer Science and Biomedical Engineering, Graz University of Technology, Graz, Austria.

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