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  4. Triage 4.0: On Death Algorithms and Technological Selection. Is Today’s Data- Driven Medical System Still Compatible with the Constitution?
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Triage 4.0: On Death Algorithms and Technological Selection. Is Today’s Data- Driven Medical System Still Compatible with the Constitution?

Journal
Journal of European CME
Type
journal article
Date Issued
2021-11-17
Author(s)
Helbing, Dirk
;
Beschorner, Thomas et al.  
DOI
10.1080/21614083.2021.1989243
Abstract
Health data bear great promises for a healthier and happier life, but they also make us vulnerable. Making use of millions or billions of data points, Machine Learning (ML) and Artificial Intelligence (AI) are now creating new benefits. For sure, harvesting Big Data can have great potentials for the health system, too. It can support accurate diagnoses, better treatments and greater cost effectiveness. However, it can also have undesirable implications, often in the sense of undesired side effects, which may in fact be terrible. Examples for this, as discussed in this article, are discrimination, the mechanisation of death, and genetic, social, behavioural or technological selection, which may imply eugenic effects or social Darwinism. As many unintended effects become visible only after years, we still lack sufficient criteria, long-term experience and advanced methods to reliably exclude that things may go terribly wrong. Handing over decision-making, responsibility or control to machines, could be dangerous and irresponsible. It would also be in serious conflict with human rights and our constitution.
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
SHSS - Kulturen, Institutionen, Maerkte (KIM)
Refereed
Yes
Volume
10
Number
1
Official URL
https://www.tandfonline.com/doi/full/10.1080/21614083.2021.1989243
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/109716
Subject(s)

computer science

health sciences

social sciences

Division(s)

SHSS - School of Huma...

IWE - Institute for B...

Eprints ID
264834
File(s)
Thumbnail Image
Name

21614083.2021.1989243

Size

138.26 KB

Format

HTML

Checksum (MD5)

adf3e46d0e2b8a43e34f1e0cd501053c

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