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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?
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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Taylor & Francis
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8604483/ https://www.ncbi.nlm.nih.gov/pubmed/34804636 http://dx.doi.org/10.1080/21614083.2021.1989243 |
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author | Helbing, Dirk Beschorner, Thomas Frey, Bruno Diekmann, Andreas Hagendorff, Thilo Seele, Peter Spiekermann-Hoff, Sarah van den Hoven, Jeroen Zwitter, Andrej |
author_facet | Helbing, Dirk Beschorner, Thomas Frey, Bruno Diekmann, Andreas Hagendorff, Thilo Seele, Peter Spiekermann-Hoff, Sarah van den Hoven, Jeroen Zwitter, Andrej |
author_sort | Helbing, Dirk |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8604483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-86044832021-11-20 Triage 4.0: On Death Algorithms and Technological Selection. Is Today’s Data- Driven Medical System Still Compatible with the Constitution? Helbing, Dirk Beschorner, Thomas Frey, Bruno Diekmann, Andreas Hagendorff, Thilo Seele, Peter Spiekermann-Hoff, Sarah van den Hoven, Jeroen Zwitter, Andrej J Eur CME Position Paper 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. Taylor & Francis 2021-11-17 /pmc/articles/PMC8604483/ /pubmed/34804636 http://dx.doi.org/10.1080/21614083.2021.1989243 Text en © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Position Paper Helbing, Dirk Beschorner, Thomas Frey, Bruno Diekmann, Andreas Hagendorff, Thilo Seele, Peter Spiekermann-Hoff, Sarah van den Hoven, Jeroen Zwitter, Andrej Triage 4.0: On Death Algorithms and Technological Selection. Is Today’s Data- Driven Medical System Still Compatible with the Constitution? |
title | Triage 4.0: On Death Algorithms and Technological Selection. Is Today’s Data- Driven Medical System Still Compatible with the Constitution? |
title_full | Triage 4.0: On Death Algorithms and Technological Selection. Is Today’s Data- Driven Medical System Still Compatible with the Constitution? |
title_fullStr | Triage 4.0: On Death Algorithms and Technological Selection. Is Today’s Data- Driven Medical System Still Compatible with the Constitution? |
title_full_unstemmed | Triage 4.0: On Death Algorithms and Technological Selection. Is Today’s Data- Driven Medical System Still Compatible with the Constitution? |
title_short | Triage 4.0: On Death Algorithms and Technological Selection. Is Today’s Data- Driven Medical System Still Compatible with the Constitution? |
title_sort | triage 4.0: on death algorithms and technological selection. is today’s data- driven medical system still compatible with the constitution? |
topic | Position Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8604483/ https://www.ncbi.nlm.nih.gov/pubmed/34804636 http://dx.doi.org/10.1080/21614083.2021.1989243 |
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