Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/194388
Title: The forgotten human autonomy in Machine Learning
Author: Subías-Beltrán, Paula
Pujol, Oriol
Lecuona Ramírez, Itziar de
Keywords: Intel·ligència artificial
Aprenentatge automàtic
Drets humans
Autonomia (Psicologia)
Ètica
Bioètica
Artificial intelligence
Machine learning
Human rights
Autonomy (Psychology)
Ethics
Bioethics
Issue Date: 13-Jun-2022
Abstract: There are many rights, freedoms, and principles that build our society and nourish it day after day. No right, freedom, or principle is absolute; they must always be balanced. Our starting point is the respect for internationally recognized human rights and we focus on the principle of autonomy, which is not being adequately treated and protected in the ever-changing algorithmic world. In this article we review some of the most influential bodies of knowledge and ethical recommendations in artificial intelligence, and analyze the extent to which they address the principle of autonomy. We ground the concept of autonomy in operational terms such as being well-informed and being able to make free decisions. Under these two different aspects, we analyze the technical and social risks and propose different ways in which artificial intelligence requires further exploration with the aim of preserving human autonomy.
Note: https://ceur-ws.org/Vol-3221/IAIL_paper3.pdf
It is part of: CEUR Workshop Proceedings, 2022, vol. 3221, p. 45-64
URI: http://hdl.handle.net/2445/194388
ISSN: 1613-0073
Appears in Collections:Articles publicats en revistes (Medicina)

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