We use a few cookies

Essential cookies keep the library working. With your permission, we'd also like to use analytics to see what's useful and improve the experience. Read our Privacy Policy or Cookie Policy.

Skip to main content
Home/e-Resources/Computer Science & Information Technology/Artificial intelligence in healthcare: a critical analysis of the legal and ethical implications
PeriodicalsComputer Science & Information Technology

Artificial intelligence in healthcare: a critical analysis of the legal and ethical implications

Checking your access to this record.

Abstract & Overview

Abstract Artificial intelligence (AI) is perceived as the most transformative technology of the 21st century. Healthcare has been identified as an early candidate to be revolutionized by AI technologies. Various clinical and patient-facing applications have already reached healthcare practice with the potential to ease the pressure on healthcare staff, bring down costs and ultimately improve the lives of patients. However, various concerns have been raised as regards the unique properties and risks inherent to AI technologies. This article aims at providing an early stage contribution with a holistic view on the ‘decision-making’ capacities of AI technologies. The possible ethical and legal ramifications will be discussed against the backdrop of the existing frameworks. I will conclude that the present structures are largely fit to deal with the challenges AI technologies are posing. In some areas, sector-specific revisions of the law may be advisable, particularly concerning non-discrimination and product liability.

Cite this record

Daniel Schönberger (2019). Artificial intelligence in healthcare: a critical analysis of the legal and ethical implications. International Journal of Law and Information Technology, 27(2), 171–203. https://doi.org/10.1093/ijlit/eaz004

Copy in another style

Schönberger, D. (2019). Artificial intelligence in healthcare: a critical analysis of the legal and ethical implications. International Journal of Law and Information Technology, 27(2), 171–203. https://doi.org/10.1093/ijlit/eaz004
Author names are used as deposited, so check their order before you submit.

Metadata is harvested from open-access indexes and can be incomplete. Check a citation against the published version before relying on it — see our open access & attribution policy.