Artificial Intelligence Must Operate Ethically in Health Care and Not Be Prone to Racist or Sexist Biases

Craig S Webster*, Tanisha Jowsey

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

Abstract

Artificial intelligence (AI) promises to transform modern health care on multiple fronts, which
may continue the long history of health care improvement enabled by the advancement of technology. 1 However, the complexity of AI systems poses questions regarding their reliability and safety in the health care context, particularly in the light of recent evidence of biases in the operation of AI systems.2 Additional concerns include uncertainty around the strengths and limitations of AI systems, and the lack of clear strategies for the safe integration of AI with existing health care technology, presenting clinicians and health care leaders with difficult and potentially very expensive choices. In the following, we outline the underlying nature of AI systems, their limitations, and the risks that their use may pose in health care and anesthesia.
Original languageEnglish
Pages (from-to)1099-1104
Number of pages6
JournalAnesthesia and Analgesia
Volume140
Issue number5
Early online date19 Sept 2024
DOIs
Publication statusE-pub ahead of print - 19 Sept 2024

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