Legal Foundations of Artificial Intelligence and Digital Technologies in Public Administration

Artificial intelligence increasingly shapes decision-making within public administration systems worldwide. This research examines legal foundations necessary for accountability, transparency, and procedural fairness in algorithmic governance. Using qualitative doctrinal analysis, this study reviews existing laws, regulations, and scholarly literature addressing artificial intelligence in government functions. Findings reveal fragmented legal frameworks, weak transparency requirements, and limited accountability mechanisms across examined jurisdictions. Procedural fairness protections remain inadequate while judicial review standards stay inconsistent. Human oversight often proves nominal rather than substantively meaningful within automated administrative processes. These findings demonstrate that existing administrative law doctrine was not designed for algorithmic complexity. This research proposes integrated legal foundations connecting transparency, accountability, and fairness within unified governance frameworks. Such integration addresses interconnected challenges that fragmented, sector-specific regulation cannot resolve effectively. This study contributes theoretical insight for policymakers, courts, and legal practitioners navigating artificial intelligence governance. Strengthening these legal foundations protects citizens as public administration continues adopting automated decision-making technologies globally.