Description
Automated Agencies examines the profound transformation occurring within government institutions as automation, algorithms, and artificial intelligence increasingly replace traditional human decision-making in regulatory guidance and enforcement. Joshua D. Blank and Leigh Osofsky provide a comprehensive analysis of how algorithmic systems are reshaping the relationship between government agencies and citizens.
The authors explore critical questions about transparency, fairness, and accountability when machines guide government action. They investigate how automation affects regulatory compliance, administrative law, and democratic governance, while considering both the efficiency gains and potential risks of automated systems. The book draws on real-world examples from tax administration, environmental regulation, and other domains to illustrate broader implications for the future of government.
Essential reading for policymakers, legal scholars, and anyone concerned with the intersection of technology and governance, this work provides crucial insights into how we can ensure automated agencies remain accountable and serve the public interest.
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