How Much Decision Power Should (A)I Have? Investigating Patients' Preferences Towards AI Autonomy in Healthcare Decision Making

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Abstract

Despite the growing potential of artificial intelligence (AI) in improving clinical decision making, patients' perspectives on the use of AI for their care decision making are underexplored. In this paper, we investigate patients' preferences towards the autonomy of AI in assisting healthcare decision making. We conducted interviews and an online survey using an interactive narrative and speculative AI prototypes to elicit participants' preferred choices of using AI in a pregnancy care context. The analysis of the interviews and in-story responses reveals that patients' preferences for AI autonomy vary per person and context, and may change over time. This finding suggests the need for involving patients in defining and reassessing the appropriate level of AI assistance for healthcare decision making. Departing from these varied preferences for AI autonomy, we discuss implications for incorporating patient-centeredness in designing AI-powered healthcare decision making.

Original languageEnglish
Title of host publicationCHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems
Place of PublicationNew York
PublisherACM
Pages1-17
Number of pages17
ISBN (Electronic)979-8-4007-0330-0
DOIs
Publication statusPublished - 2024
Event2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024 - Hybrid, Honolulu, United States
Duration: 11 May 202416 May 2024

Conference

Conference2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024
Country/TerritoryUnited States
CityHybrid, Honolulu
Period11/05/2416/05/24

Keywords

  • AI
  • Clinical decision support tools
  • Patient-centered care
  • Shared decision making

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