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Social and Legal Considerations for Artificial Intelligence in Medicine

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Artificial Intelligence in Medicine

Abstract

Artificial intelligence is becoming seamlessly integrated into our everyday lives, augmenting our knowledge and capabilities in driving, avoiding traffic, finding friends, choosing the right movie, or finding the perfect song, and, perhaps most importantly, it is entering into healthcare and medical diagnostics with large brave strides. As this twenty-first century “man meets machine” reality is unfolding, several social and juristic challenges emerge for which we are in general poorly prepared. We here review social dilemmas where individual interests are at odds with the interests of others, and where artificial intelligence might have a particularly hard time making the right decision. Examples thereof are the well-known social dilemmas of autonomous vehicles and vaccination. We also review juristic challenges, with a focus on torts and product liability that are due to artificial intelligence, resulting in the claimant suffering a loss or harm. Here the challenge is to determine who is legally liable, and to what extent. We conclude with an outlook and with a short set of guidelines for constructively mitigating described challenges, with a focus on artificial intelligence in medicine.

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Author information

Authors and Affiliations

  1. Faculty of Natural Sciences and Mathematics, University of Maribor, Maribor, Slovenia

    Matjaž Perc

  2. China Medical University Hospital, China Medical University, Taichung, Taiwan

    Matjaž Perc

  3. Complexity Science Hub Vienna, Vienna, Austria

    Matjaž Perc

  4. Faculty of Law, University of Maribor, Maribor, Slovenia

    Janja Hojnik

Authors
  1. Matjaž Perc
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  2. Janja Hojnik
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Corresponding author

Correspondence to Janja Hojnik .

Editor information

Editors and Affiliations

  1. Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm, Sweden

    Niklas Lidströmer

  2. Imperial College London, London, UK

    Hutan Ashrafian

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Perc, M., Hojnik, J. (2022). Social and Legal Considerations for Artificial Intelligence in Medicine. In: Lidströmer, N., Ashrafian, H. (eds) Artificial Intelligence in Medicine. Springer, Cham. https://doi.org/10.1007/978-3-030-64573-1_266

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  • DOI: https://doi.org/10.1007/978-3-030-64573-1_266

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64572-4

  • Online ISBN: 978-3-030-64573-1

  • eBook Packages: MedicineReference Module Medicine

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