The heart of the matter: Patient autonomy as a model for the wellbeing of technology users

Emanuelle Burton, Judy Goldsmith, Kristel Clayville, Nicholas Mattei

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

We draw on concepts in medical ethics to consider how computer science, and AI in particular, can develop critical tools for thinking concretely about technology's impact on the wellbeing of the people who use it. We focus on patient autonomy-the ability to set the terms of one's encounter with medicine-and on the mediating concepts of informed consent and decisional capacity, which enable doctors to honor patients' autonomy in messy and non-ideal circumstances. This comparative study is organized around a fictional case study of a heart patient with cardiac implants. Using this case study, we identify points of overlap and of difference between medical ethics and technology ethics, and leverage a discussion of that intertwined scenario to offer initial practical suggestions about how we can adapt the concepts of decisional capacity and informed consent to the discussion of technology design.

Original languageEnglish
Title of host publicationAIES 2019 - Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society
Pages13-19
Number of pages7
ISBN (Electronic)9781450363242
DOIs
StatePublished - Jan 27 2019
Event2nd AAAI/ACM Conference on AI, Ethics, and Society, AIES 2019 - Honolulu, United States
Duration: Jan 27 2019Jan 28 2019

Publication series

NameAIES 2019 - Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society

Conference

Conference2nd AAAI/ACM Conference on AI, Ethics, and Society, AIES 2019
Country/TerritoryUnited States
CityHonolulu
Period1/27/191/28/19

Bibliographical note

Publisher Copyright:
© 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM.

Funding

This work was partially supported by NSF grant 1646887.

FundersFunder number
National Science Foundation (NSF)1646887

    Keywords

    • AI and Society
    • Informed Consent
    • Patient Autonomy
    • User Centric Design

    ASJC Scopus subject areas

    • Artificial Intelligence

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