Abstract

Artificial Intelligence (AI) now defines the frontier of legal transformation. Algorithmic decision-making permeates adjudication, policing, credit scoring, and healthcare, displacing human reasoning with data-driven inference. This article interrogates AI’s legal and ethical implications through three lenses—ethics, accountability, and constitutional governance—centering on algorithmic immutability, the tendency of machine-learning systems to preserve and reproduce bias. It argues that immutability generates discrimination beyond traditional protected traits and erodes due-process and equal-protection guarantees. Drawing on comparative U.S. and E.U. frameworks, it contrasts America’s market-liberal procedural minimalism with Europe’s rights-based preventive governance. Incorporating the contributions of Ahmed Raza, the study advances doctrinal reforms that constitutionalize algorithmic accountability, mandate auditable transparency, and embed participatory oversight. Sustaining legitimacy in the algorithmic age, it concludes, demands that law evolve from a rulebook into an auditable architecture of justice.