Is Legal Justice at Risk in the Epoch of Artificial Intelligence? A Jurisprudential Assessment of Algorithmic Governance, Procedural Due Process, and the Safeguarding of Human Rights

Abstract

A methodical investigation into the transformation of judicial frameworks enhanced by artificial intelligence (AI) raises a crucial normative inquiry: is the integrity of justice in law perpetually threatened by the use of algorithms in the judiciary? Rooted in legal principles and human rights frameworks, it seeks to reconcile the interplay between algorithmic judicial efficiency and fundamental doctrines of good law—procedural fairness, judicial autonomy, non-discrimination, and accountability. Employing legal-dogmatic and socio-legal methodologies, the article illustrates how innovative forms of adjudication have been legally transformed via predictive analytics, extensive language models, and automated administrative frameworks. Critiques regarding the dynamics of algorithmic bias, lack of transparency in "black box" model-based machine learning, and the reduction of judicial discretion chances. It is argued that generative and automated systems provide mechanisms for enhancing administrative efficiency, although their unrestrained application poses a fundamental danger to the rule of law. In light of these underlying weaknesses, the author advocates for a comprehensive regulatory structure that mandates algorithmic effect evaluations, ensures inviolable rights to substantial human supervision, and establishes statutory disclosure protocols.