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The Bureaucratic Challenge to AI Governance: An Empirical Assessment of Implementation at U.S. Federal Agencies

https://doi.org/10.1145/3600211.3604701
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Bureaucratic Capacity, Delegation, and Political Reform
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From the Positive to the Regulatory State: Causes and Consequences of Changes in the Mode of Governance
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Innovation without Reputation: How Bureaucrats Saved the Veterans’ Health Care System
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Resistance to Change and the Language of Public Organizations: A Look at “Clashing Grammars” in Large-Scale Information Technology Projects
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Management-Based Regulation: Prescribing Private Management to Achieve Public Goals
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Role of the state and responsibility in governing artificial intelligence: a comparative analysis of AI strategies
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Improving public services using artificial intelligence: possibilities, pitfalls, governance
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Forms and paradoxes of principles-based regulation
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Assessing the Effects of Organizational Resources on Public Agency Performance: Evidence from the US Federal Government
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A Layered Model for AI Governance
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Reflections on Street‐Level Bureaucracy: Past, Present, and Future
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The Management of Change in Public Organisations: A Literature Review
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Policy Durability, Agency Capacity, and Executive Unilateralism
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Looking through a policy window with tinted glasses: Setting the agenda for U.S. AI policy
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Administrative Law in the Automated State
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Street-Level Bureaucracy and the Analysis of Urban Reform
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Staff Resources Speed FDA Drug Review: A Critical Analysis of the Returns to Resources in Approval Regulation
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An Institutionalist Approach to AI Ethics: Justifying the Priority of Government Regulation over Self-Regulation
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Government by Algorithm: Artificial Intelligence in Federal Administrative Agencies
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Backward Mapping: Implementation Research and Policy Decisions
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Incentives and Organizations in the Public Sector: An Interpretative Review
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The Optimal Precision of Administrative Rules

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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AI, Law and beyond. A transdisciplinary ecosystem for the future of AI & Law
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The Bureaucratic Challenges of Unified Data: Examining Predictive Policing Technology Design Issues Posed by Federal and State U.S. Criminal Legal System Data Sets
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One Bad NOFO? AI Governance in Federal Grantmaking
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Compliant But Unsatisfactory: The Gap Between Auditing Standards and Practices for Probabilistic Genotyping Software
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The disruptive nature of AI-Powered technologies: balancing the dichotomy of dependence and autonomy for IT Professionals
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How to Promote AI in the US Federal Government: Insights from Policy Process Frameworks
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AI and Financial Fragility: A Framework for Measuring Systemic Risk in Deployment of Generative AI for Stock Price Predictions
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