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Moving beyond Technical Issues to Stakeholder Involvement: Key Areas for Consideration in the Development of Human-Centred and Trusted AI in Healthcare.

Jane KayeNisha ShahAtsushi KogetsuSarah CoyAmelia KatiraiMachie KurodaYan LiKazuto KatoBeverley Anne Yamamoto
Published in: Asian bioethics review (2024)
Discussion around the increasing use of AI in healthcare tends to focus on the technical aspects of the technology rather than the socio-technical issues associated with implementation. In this paper, we argue for the development of a sustained societal dialogue between stakeholders around the use of AI in healthcare. We contend that a more human-centred approach to AI implementation in healthcare is needed which is inclusive of the views of a range of stakeholders. We identify four key areas to support stakeholder involvement that would enhance the development, implementation, and evaluation of AI in healthcare leading to greater levels of trust. These are as follows: (1) aligning AI development practices with social values, (2) appropriate and proportionate involvement of stakeholders, (3) understanding the importance of building trust in AI, (4) embedding stakeholder-driven governance to support these activities.
Keyphrases
  • healthcare
  • artificial intelligence
  • primary care
  • endothelial cells
  • health information
  • machine learning
  • deep learning
  • public health
  • induced pluripotent stem cells
  • social media
  • health insurance