Algorithmic Decision-Making in Public Administration: The Role of Artificial Intelligence Applications in Shaping Modern Administrative Law

The integration of artificial intelligence (AI) into administrative systems has accelerated the transformation from e-administration to smart administration, producing a new generation of algorithmic administrative decisions.Unlike traditional decisions grounded in human interpretation of administrative law, these decisions are generated or supported by intelligent algorithmic models capable of predictive analysis, data classification, and automated enforcement.This study investigates the theoretical and practical implications of embedding AI enablers within the legal framework of administrative decision-making, with emphasis on the enforceability and legitimacy of algorithmic decisions.Drawing on comparative legal analysis, case studies, and doctrinal examination, the research demonstrates that algorithmic decision-making challenges the fundamental doctrines of legality, transparency, and judicial oversight.Findings suggest that while algorithmic decisions enhance efficiency, neutrality, and objectivity in public administration, they simultaneously introduce risks of opacity, bias, and accountability gaps.Therefore, urgent reforms are required to adapt legislation and judicial mechanisms, ensuring that algorithmic administrative decisions remain consistent with principles of the rule of law, due process, and fundamental rights.