The Normative Structure of Adjudication Rules for Generative Artificial Intelligence

Li Lujun, JunPan

Keywords: Generative Artificial Intelligence, Subordinate Rules, Integrated Jurisprudence, Institutional Rationality, Rule Reconstruction

Paper Type: Full papers

TL;DR: Establishing a generative AI adjudication framework that integrates legitimacy, practicality, and value justification.

Abstract: From the perspective of Hart's theory of the rule of law, the rise of generative artificial intelligence has exposed deficiencies in the secondary rules of the existing legal system. This paper examines the judicial challenges arising from the rule dilemma, explores how multidimensional jurisprudence supports rule reconstruction, and demonstrates the integrated logic of authority, institutional rationality, and moral values in designing AI adjudication rules. It proposes pathways for achieving rule standardization and institutionalization within the context of cyber information law, aiming to establish a generative AI adjudication framework that embodies legitimacy, practicality, and value legitimacy.

Submission Number: 14