Machine Learning and Ethics

Tiit Mathiesen, Marike Broekman

6 Citationer (Scopus)

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.

OriginalsprogEngelsk
BogserieActa Neurochirurgica, Supplement
Vol/bind134
Sider (fra-til)251-256
Antal sider6
ISSN0065-1419
DOI
StatusUdgivet - 2022

Fingeraftryk

Dyk ned i forskningsemnerne om 'Machine Learning and Ethics'. Sammen danner de et unikt fingeraftryk.

Citationsformater