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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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Autor principal: Mocanu, Diana Mădălina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
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
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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.
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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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