Machine Learning and Ethics

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

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.

Original languageEnglish
Title of host publicationMachine Learning and Ethics
EditorsVictor E. Staartjes , Luca Regli , Carlo Serra
Number of pages6
PublisherSpringer
Publication date2022
Edition1
Pages251-256
ISBN (Print)978-3-030-85291-7
ISBN (Electronic)978-3-030-85292-4
DOIs
Publication statusPublished - 2022
SeriesActa Neurochirurgica, Supplementum
Volume134
ISSN0065-1419

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

    Research areas

  • Artificial intelligence, Ethics, Healthcare, Machine learning, Moral agency

ID: 290113463