Algorithmic Governance and Judicial Oversight: A Comparative Analysis of AI Integration in Administrative Decision-Making and Its Implications for Judicial Review
Main Article Content
Abstract
This comparative study investigates the incorporation of Artificial Intelligence (AI) into administrative decision-making, with a specific focus on the judicial review frameworks in Saudi Arabia and the European Union. It assesses two distinct legal systems: the European Union, which emphasizes data protection, and Saudi Arabia, which is guided by Islamic laws and emerging AI governance frameworks. By juxtaposing these diverse legal systems, the research provides a comprehensive perspective on algorithmic governance as a crucial instrument for judicial oversight in administrative choices. Employing a comparative legal research methodology, it analyzes case law, primary legal texts, and secondary sources to explore procedural disparities, particularly concerning the judicial oversight mechanisms governing AI-driven decisions. The findings reveal significant differences: Saudi Arabia adopts a centralized, efficiency-oriented model, while judicial oversight within the European Union is regulated by the General Data Protection Regulation (GDPR) (Article 22), ensuring the right to human intervention in AI decision-making. The study advocates for the implementation of cross-jurisdictional best practices and the establishment of standardized protocols to assess the rationality of AI decisions. A hybrid algorithmic governance framework that amalgamates Saudi Arabia's emphasis on efficiency with the rights-centric oversight of the European Union could represent a pragmatic approach to AI governance within the realm of administrative law.
Article Details
Issue
Section

This work is licensed under a Creative Commons Attribution 4.0 International License.
© Journal of Humanities, University of Ha’il. Articles are published under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, permitting use, distribution, and reproduction in any medium, provided the original work is properly cited with a link to the license and indication of changes.