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Machine Learning and Ethics

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Machine Learning in Clinical Neuroscience

Part of the book series: Acta Neurochirurgica Supplement ((NEUROCHIRURGICA,volume 134))

Abstract

When new technology is introduced into healthcare, novel ethical dilemmas arise in the human-machine interface. As artificial intelligence (AI), machine learning (ML) and big data can exhaust human oversight and memory capacity, this will give rise to many of these new dilemmas.

Technology has little if any ethical status but is inevitably interwoven with human activity and thus may serve to allow qualitative and quantitative disruption of human performance and interaction. We argue that personal integrity, justice of resource allocation and accountability of moral agency comprise three themes that characterize ethical dilemmas that arise with development and application of AI. These themes are important to address in parallel to further evolution of AI in health care for ethical practice of healthcare.

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Acknowledgments

This study was supported by a grant from The Swedish Medical Association (Sveriges Läkarförbund).

Author information

Authors and Affiliations

  1. Department of Neurosurgery, Copenhagen University Hospital, University of Copenhagen, Copenhagen, Denmark

    Tiit Mathiesen

  2. Department of Clinical Medicine, Copenhagen University Hospital, University of Copenhagen, Copenhagen, Denmark

    Tiit Mathiesen

  3. Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Stockholm, Sweden

    Tiit Mathiesen

  4. Department of Neurosurgery, Leiden University Medical Center, Leiden, Zuid-Holland, The Netherlands

    Marike Broekman

Authors
  1. Tiit Mathiesen
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  2. Marike Broekman
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Corresponding author

Correspondence to Tiit Mathiesen .

Editor information

Editors and Affiliations

  1. Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland

    Victor E. Staartjes

  2. Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland

    Luca Regli

  3. Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland

    Carlo Serra

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 The authors declare that they have no conflict of interest.

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Mathiesen, T., Broekman, M. (2022). Machine Learning and Ethics. In: Staartjes, V.E., Regli, L., Serra, C. (eds) Machine Learning in Clinical Neuroscience. Acta Neurochirurgica Supplement, vol 134. Springer, Cham. https://doi.org/10.1007/978-3-030-85292-4_28

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  • DOI: https://doi.org/10.1007/978-3-030-85292-4_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85291-7

  • Online ISBN: 978-3-030-85292-4

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