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American public opinion on artificial intelligence in healthcare

Author

Listed:
  • Jessica Rojahn
  • Andrea Palu
  • Steven Skiena
  • Jason J Jones

Abstract

Billions of dollars are being invested into developing medical artificial intelligence (AI) systems and yet public opinion of AI in the medical field seems to be mixed. Although high expectations for the future of medical AI do exist in the American public, anxiety and uncertainty about what it can do and how it works is widespread. Continuing evaluation of public opinion on AI in healthcare is necessary to ensure alignment between patient attitudes and the technologies adopted. We conducted a representative-sample survey (total N = 203) to measure the trust of the American public towards medical AI. Primarily, we contrasted preferences for AI and human professionals to be medical decision-makers. Additionally, we measured expectations for the impact and use of medical AI in the future. We present four noteworthy results: (1) The general public strongly prefers human medical professionals make medical decisions, while at the same time believing they are more likely to make culturally biased decisions than AI. (2) The general public is more comfortable with a human reading their medical records than an AI, both now and “100 years from now.” (3) The general public is nearly evenly split between those who would trust their own doctor to use AI and those who would not. (4) Respondents expect AI will improve medical treatment but more so in the distant future than immediately.

Suggested Citation

  • Jessica Rojahn & Andrea Palu & Steven Skiena & Jason J Jones, 2023. "American public opinion on artificial intelligence in healthcare," PLOS ONE, Public Library of Science, vol. 18(11), pages 1-17, November.
    • Handle: RePEc:plo:pone00:0294028
    DOI: 10.1371/journal.pone.0294028
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    References listed on IDEAS

    as
    1. Chiara Longoni & Andrea Bonezzi & Carey K Morewedge, 2019. "Resistance to Medical Artificial Intelligence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 46(4), pages 629-650.
    2. repec:dar:wpaper:138565 is not listed on IDEAS
    3. Alkire (née Nasr), Linda & O'Connor, Genevieve E. & Myrden, Susan & Köcher, Sören, 2020. "Patient experience in the digital age: An investigation into the effect of generational cohorts," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
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