Work

Gradient Legal Personhood for AI Systems—Painting Continental Legal Shapes Made to Fit Analytical Molds

Year: 2022
Type: review
Abstract: 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.
Institutions: UCLouvain, KU Leuven
Language: English
Subfield: Law
Open Access status: gold
Estimated APC paid: $1,900
OpenAlex ID: W4206179645
FWCI: 3.585
Cites: 33
Cited by: 36
Related to: 10