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Responsible AI for Digital Health: a Synthesis and a Research Agenda

Author

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  • Cristina Trocin

    (Norwegian University of Science and Technology (NTNU))

  • Patrick Mikalef

    (Norwegian University of Science and Technology (NTNU))

  • Zacharoula Papamitsiou

    (Norwegian University of Science and Technology (NTNU))

  • Kieran Conboy

    (National University of Ireland Galway)

Abstract

Responsible AI is concerned with the design, implementation and use of ethical, transparent, and accountable AI technology in order to reduce biases, promote fairness, equality, and to help facilitate interpretability and explainability of outcomes, which are particularly pertinent in a healthcare context. However, the extant literature on health AI reveals significant issues regarding each of the areas of responsible AI, posing moral and ethical consequences. This is particularly concerning in a health context where lives are at stake and where there are significant sensitivities that are not as pertinent in other domains outside of health. This calls for a comprehensive analysis of health AI using responsible AI concepts as a structural lens. A systematic literature review supported our data collection and sampling procedure, the corresponding analysis, and extraction of research themes helped us provide an evidence-based foundation. We contribute with a systematic description and explanation of the intellectual structure of Responsible AI in digital health and develop an agenda for future research.

Suggested Citation

  • Cristina Trocin & Patrick Mikalef & Zacharoula Papamitsiou & Kieran Conboy, 2023. "Responsible AI for Digital Health: a Synthesis and a Research Agenda," Information Systems Frontiers, Springer, vol. 25(6), pages 2139-2157, December.
    • Handle: RePEc:spr:infosf:v:25:y:2023:i:6:d:10.1007_s10796-021-10146-4
    DOI: 10.1007/s10796-021-10146-4
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    Cited by:

    1. Uthayasankar Sivarajah & Yichuan Wang & Hossein Olya & Sherin Mathew, 2023. "Responsible Artificial Intelligence (AI) for Digital Health and Medical Analytics," Information Systems Frontiers, Springer, vol. 25(6), pages 2117-2122, December.

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