Artificial Intelligence and Self-determination in Medical Field

The use of artificial intelligence in medicine raises many legal issues. This essay examines how medical AI intersects with the right to informed consent and the principle of self-determination. The author highlights that the complexity and opacity of machine learning could dissuade the patient from...

Full description

Bibliographic Details
Main Author: Carlotta De Menech
Format: Article
Language:English
Published: Suor Orsola Benincasa Università Editrice 2022-01-01
Series:European Journal of Privacy Law & Technologies
Subjects:
Online Access:https://universitypress.unisob.na.it/ojs/index.php/ejplt/article/view/1560
_version_ 1811170650736295936
author Carlotta De Menech
author_facet Carlotta De Menech
author_sort Carlotta De Menech
collection DOAJ
description The use of artificial intelligence in medicine raises many legal issues. This essay examines how medical AI intersects with the right to informed consent and the principle of self-determination. The author highlights that the complexity and opacity of machine learning could dissuade the patient from consenting AI treatment and, therefore, induce him to give up the benefits that this technology usually brings to his health. Consequently, the author suggests adjusting the content of the information due to the patient, taking into account the limited knowledge that ordinary people have about artificial intelligence, and, more generally, redefining the boundaries of the principle of informed consent.
first_indexed 2024-04-10T17:00:13Z
format Article
id doaj.art-f1ea6e2468fb410b8d343866de683ee0
institution Directory Open Access Journal
issn 2704-8012
language English
last_indexed 2024-04-10T17:00:13Z
publishDate 2022-01-01
publisher Suor Orsola Benincasa Università Editrice
record_format Article
series European Journal of Privacy Law & Technologies
spelling doaj.art-f1ea6e2468fb410b8d343866de683ee02023-02-06T16:34:19ZengSuor Orsola Benincasa Università EditriceEuropean Journal of Privacy Law & Technologies2704-80122022-01-01116418010.57230/EJPLT221CDMArtificial Intelligence and Self-determination in Medical FieldCarlotta De Menech0https://orcid.org/0000-0002-3685-0547Senior Researcher in Private Law, Pavia UniversityThe use of artificial intelligence in medicine raises many legal issues. This essay examines how medical AI intersects with the right to informed consent and the principle of self-determination. The author highlights that the complexity and opacity of machine learning could dissuade the patient from consenting AI treatment and, therefore, induce him to give up the benefits that this technology usually brings to his health. Consequently, the author suggests adjusting the content of the information due to the patient, taking into account the limited knowledge that ordinary people have about artificial intelligence, and, more generally, redefining the boundaries of the principle of informed consent.https://universitypress.unisob.na.it/ojs/index.php/ejplt/article/view/1560artificial intelligencemachine learningself-determinationinformed consentdata protection
spellingShingle Carlotta De Menech
Artificial Intelligence and Self-determination in Medical Field
European Journal of Privacy Law & Technologies
artificial intelligence
machine learning
self-determination
informed consent
data protection
title Artificial Intelligence and Self-determination in Medical Field
title_full Artificial Intelligence and Self-determination in Medical Field
title_fullStr Artificial Intelligence and Self-determination in Medical Field
title_full_unstemmed Artificial Intelligence and Self-determination in Medical Field
title_short Artificial Intelligence and Self-determination in Medical Field
title_sort artificial intelligence and self determination in medical field
topic artificial intelligence
machine learning
self-determination
informed consent
data protection
url https://universitypress.unisob.na.it/ojs/index.php/ejplt/article/view/1560
work_keys_str_mv AT carlottademenech artificialintelligenceandselfdeterminationinmedicalfield