Machine Learning and Ethics
Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-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 language | English |
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Title of host publication | Machine Learning and Ethics |
Editors | Victor E. Staartjes , Luca Regli , Carlo Serra |
Number of pages | 6 |
Publisher | Springer |
Publication date | 2022 |
Edition | 1 |
Pages | 251-256 |
ISBN (Print) | 978-3-030-85291-7 |
ISBN (Electronic) | 978-3-030-85292-4 |
DOIs | |
Publication status | Published - 2022 |
Series | Acta Neurochirurgica, Supplementum |
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Volume | 134 |
ISSN | 0065-1419 |
Bibliographical note
Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
- Artificial intelligence, Ethics, Healthcare, Machine learning, Moral agency
Research areas
ID: 290113463