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Crisis and Reconstruction of the "Abstract Person" Presupposition in the Digital Age

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DOI: 10.23977/law.2025.040510 | Downloads: 0 | Views: 32

Author(s)

Nanhui Pan 1

Affiliation(s)

1 Faculty of Law, Guilin University of Electronic Technology, No.1 Jinji Road, Guilin, China

Corresponding Author

Nanhui Pan

ABSTRACT

Traditional legal systems have established formal equality and universal regulation by constructing collective abstract concepts such as the "abstract legal person" and the "average consumer," forming the cornerstone of modern rule of law. However, personalized algorithms in the platform economy, powered by big data and artificial intelligence, can precisely deconstruct these abstract notions, enabling micro-targeting and differential treatment of each specific, real individual. This "algorithmic deconstruction" leads to the systemic failure of legal rules predicated on uniformity when confronting the differentiated practices of algorithms. Using "big data-enabled price discrimination" (or "big data killing") as a starting point, and drawing on the classic jurisprudential debate between fairness and efficiency, this article analyzes three major dilemmas facing traditional legal presuppositions: the collapse of formal equality, the breakdown of attribution logic, and the failure of regulatory tools. Ultimately, this article argues for a paradigm shift from "formal equality" to "algorithmic justice," proposing the reconstruction of legal authority in the digital age through the introduction of algorithm transparency, reconfigured liability, and the principle of substantive fairness.

KEYWORDS

Abstract Person, Average Consumer, Big Data Price Discrimination, Formal Equality, Algorithmic Justice

CITE THIS PAPER

Nanhui Pan. Crisis and Reconstruction of the "Abstract Person" Presupposition in the Digital Age. Science of Law Journal (2025) Vol. 4: 66-70. DOI: http://dx.doi.org/DOI: 10.23977/law.2025.040510.

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