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Gradient Legal Personhood for AI Systems—Painting Continental Legal Shapes Made to Fit Analytical Molds
What I propose in the present article are some theoretical adjustments for a more coherent answer to the legal “status question” of artificial intelligence (AI) systems. I arrive at those by using the new “bundle theory” of legal personhood, together with its accompanying conceptual and methodologic...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8808296/ https://www.ncbi.nlm.nih.gov/pubmed/35127836 http://dx.doi.org/10.3389/frobt.2021.788179 |
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author | Mocanu, Diana Mădălina |
author_facet | Mocanu, Diana Mădălina |
author_sort | Mocanu, Diana Mădălina |
collection | PubMed |
description | What I propose in the present article are some theoretical adjustments for a more coherent answer to the legal “status question” of artificial intelligence (AI) systems. I arrive at those by using the new “bundle theory” of legal personhood, together with its accompanying conceptual and methodological apparatus as a lens through which to look at a recent such answer inspired from German civil law and named Teilrechtsfähigkeit or partial legal capacity. I argue that partial legal capacity is a possible solution to the status question only if we understand legal personhood according to this new theory. Conversely, I argue that if indeed Teilrechtsfähigkeit lends itself to being applied to AI systems, then such flexibility further confirms the bundle theory paradigm shift. I then go on to further analyze and exploit the particularities of Teilrechtsfähigkeit to inform a reflection on the appropriate conceptual shape of legal personhood and suggest a slightly different answer from the bundle theory framework in what I term a “gradient theory” of legal personhood. |
format | Online Article Text |
id | pubmed-8808296 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88082962022-02-03 Gradient Legal Personhood for AI Systems—Painting Continental Legal Shapes Made to Fit Analytical Molds Mocanu, Diana Mădălina Front Robot AI Robotics and AI What I propose in the present article are some theoretical adjustments for a more coherent answer to the legal “status question” of artificial intelligence (AI) systems. I arrive at those by using the new “bundle theory” of legal personhood, together with its accompanying conceptual and methodological apparatus as a lens through which to look at a recent such answer inspired from German civil law and named Teilrechtsfähigkeit or partial legal capacity. I argue that partial legal capacity is a possible solution to the status question only if we understand legal personhood according to this new theory. Conversely, I argue that if indeed Teilrechtsfähigkeit lends itself to being applied to AI systems, then such flexibility further confirms the bundle theory paradigm shift. I then go on to further analyze and exploit the particularities of Teilrechtsfähigkeit to inform a reflection on the appropriate conceptual shape of legal personhood and suggest a slightly different answer from the bundle theory framework in what I term a “gradient theory” of legal personhood. Frontiers Media S.A. 2022-01-11 /pmc/articles/PMC8808296/ /pubmed/35127836 http://dx.doi.org/10.3389/frobt.2021.788179 Text en Copyright © 2022 Mocanu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Robotics and AI Mocanu, Diana Mădălina Gradient Legal Personhood for AI Systems—Painting Continental Legal Shapes Made to Fit Analytical Molds |
title | Gradient Legal Personhood for AI Systems—Painting Continental Legal Shapes Made to Fit Analytical Molds |
title_full | Gradient Legal Personhood for AI Systems—Painting Continental Legal Shapes Made to Fit Analytical Molds |
title_fullStr | Gradient Legal Personhood for AI Systems—Painting Continental Legal Shapes Made to Fit Analytical Molds |
title_full_unstemmed | Gradient Legal Personhood for AI Systems—Painting Continental Legal Shapes Made to Fit Analytical Molds |
title_short | Gradient Legal Personhood for AI Systems—Painting Continental Legal Shapes Made to Fit Analytical Molds |
title_sort | gradient legal personhood for ai systems—painting continental legal shapes made to fit analytical molds |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8808296/ https://www.ncbi.nlm.nih.gov/pubmed/35127836 http://dx.doi.org/10.3389/frobt.2021.788179 |
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