Engaging stakeholders in a substantive and transparent way when implementing ethics in medical AI: a qualitative study

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Implementing ethics is a complex problem requiring stakeholders engagement. Engaging in fair and transparent way with stakeholders is part of the complexity. This qualitative study applies principles and techniques of Critical Systems Thinking while engaging with stakeholders in the context of implementing ethics for a COVID-19 AI. In a reflexive manner, the study examines the participatory process and its output leading to recommendations.

Original languageEnglish
Title of host publicationContext sensitive health informatics and the pandemic boost
Subtitle of host publicationAll systems go!
EditorsAdeola Bamgboje-Ayodele, Mirela Prgomet, Craig Kuziemsky, Peter Elkin, Christian Nohr
Place of PublicationAmsterdam
PublisherIOS Press
Number of pages2
ISBN (Electronic)9781643683997
ISBN (Print)9781643683980
Publication statusPublished - 22 Jun 2023
EventContext Sensitive Health Informatics Conference - The University of Sydney, Sydney, Australia
Duration: 5 Jul 20236 Jul 2023

Publication series

NameStudies in Health Technology and Informatics
PublisherIOS Press
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365


ConferenceContext Sensitive Health Informatics Conference
Abbreviated titleCSHI 2023
Internet address

Bibliographical note

Copyright the Author(s) and IOS Press 2023. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.


  • AI
  • ethics
  • healthcare
  • implementation
  • machine learning
  • participatory process
  • systems thinking


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