Description
Combatting the Code explores the critical intersection of artificial intelligence, government administration, and legal regulation. As automated decision-making systems increasingly influence public sector operations—from benefit eligibility determinations to criminal justice assessments—the need for robust regulatory frameworks has become urgent.
Yee-Fui Ng provides a comprehensive comparative analysis of how different countries and regions approach the regulation of algorithmic governance. The book examines existing legal frameworks, identifies gaps in accountability mechanisms, and evaluates the effectiveness of various regulatory strategies. Through case studies and jurisdictional comparisons, it addresses key concerns including algorithmic transparency, bias mitigation, due process rights, and administrative accountability.
Essential for policymakers, legal scholars, technology regulators, and civil society advocates, this work offers practical insights into crafting effective governance structures for automated decision-making in government while protecting citizens’ rights and ensuring democratic legitimacy.
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