Virtual Assistants Are Unlikely to Reduce Patient Non-Disclosure

Corinne Jorgenson, Ali Ozkes, Jurgen Willems, Dieter Vanderelst

Publication: Contribution to conferenceConference paper

Abstract

The ethical use of AI typically involves setting boundaries on its deployment. Ethical guidelines advise against practices that involve deception, privacy infringement, or discriminatory actions. However, ethical considerations can also identify areas where using AI is desirable and morally necessary. For instance, it has been argued that AI could contribute to more equitable justice systems. Another area where ethical considerations can make AI deployment imperative is healthcare. For example, patients often withhold pertinent details from healthcare providers due to fear of judgment. However, utilizing virtual assistants to gather patients' health histories could be a potential solution. Ethical imperatives support using such technology if patients are more inclined to disclose information to an AI system. This article presents findings from several survey studies investigating whether virtual assistants can reduce non-disclosure behaviors. Unfortunately, the evidence suggests that virtual assistants are unlikely to minimize non-disclosure. Therefore, the potential benefits of virtual assistants due to reduced non-disclosure are unlikely to outweigh their ethical risks.
Original languageEnglish
Publication statusPublished - 16 Oct 2024
Event7th AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - San Jose, California, San Jose, California, United States
Duration: 21 Oct 202423 Oct 2024
https://ojs.aaai.org/index.php/AIES/issue/view/609

Conference

Conference7th AAAI/ACM Conference on AI, Ethics, and Society (AIES-24)
Country/TerritoryUnited States
CitySan Jose, California
Period21/10/2423/10/24
Internet address

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 304001 Medical biotechnology related ethics

Keywords

  • Patient Non-Disclosure
  • Virtual Assistants
  • experiments
  • artificial intelligence
  • AI
  • health
  • patients
  • healthcare
  • Health care
  • Management

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