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Full-Text Articles in Public Administration

Unrules, Cary Coglianese, Gabriel Scheffler, Daniel Walters Apr 2021

Unrules, Cary Coglianese, Gabriel Scheffler, Daniel Walters

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At the center of contemporary debates over public law lies administrative agencies’ discretion to impose rules. Yet, for every one of these rules, there are also unrules nearby. Often overlooked and sometimes barely visible, unrules are the decisions that regulators make to lift or limit the scope of a regulatory obligation, for instance through waivers, exemptions, and exceptions. In some cases, unrules enable regulators to reduce burdens on regulated entities or to conserve valuable government resources in ways that make law more efficient. However, too much discretion to create unrules can facilitate undue business influence over the law, weaken regulatory …


Due Process In Antitrust Enforcement: Normative And Comparative Perspectives, Christopher S. Yoo, Yong Huang, Thomas Fetzer, Shan Jiang Jan 2021

Due Process In Antitrust Enforcement: Normative And Comparative Perspectives, Christopher S. Yoo, Yong Huang, Thomas Fetzer, Shan Jiang

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Due process in antitrust enforcement has significant implications for better professional and accurate enforcement decisions. Not only can due process spur economic growth, raise government credibility, and limit the abuse of powers according to law, it also promotes competitive reforms in monopolized sectors and curbs corruption. Jurisdictions learn from the best practices in the investigation process, decisionmaking process, and the announcement and judicial review of antitrust enforcement decisions. By comparing the enforcement policies of China, the European Union, and the United States, this article calls for better disclosure of evidence, participation of legal counsel, and protection of the procedural and …


Contracting For Algorithmic Accountability, Cary Coglianese, Erik Lampmann Jan 2021

Contracting For Algorithmic Accountability, Cary Coglianese, Erik Lampmann

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As local, state, and federal governments increase their reliance on artificial intelligence (AI) decision-making tools designed and operated by private contractors, so too do public concerns increase over the accountability and transparency of such AI tools. But current calls to respond to these concerns by banning governments from using AI will only deny society the benefits that prudent use of such technology can provide. In this Article, we argue that government agencies should pursue a more nuanced and effective approach to governing the governmental use of AI by structuring their procurement contracts for AI tools and services in ways that …


Illuminating Regulatory Guidance, Cary Coglianese Jan 2020

Illuminating Regulatory Guidance, Cary Coglianese

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Administrative agencies issue many guidance documents each year in an effort to provide clarity and direction to the public about important programs, policies, and rules. But these guidance documents are only helpful to the public if they can be readily found by those who they will benefit. Unfortunately, too many agency guidance documents are inaccessible, reaching the point where some observers even worry that guidance has become a form of regulatory “dark matter.” This article identifies a series of measures for agencies to take to bring their guidance documents better into the light. It begins by explaining why, unlike the …


Transparency And Algorithmic Governance, Cary Coglianese, David Lehr Jan 2019

Transparency And Algorithmic Governance, Cary Coglianese, David Lehr

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Machine-learning algorithms are improving and automating important functions in medicine, transportation, and business. Government officials have also started to take notice of the accuracy and speed that such algorithms provide, increasingly relying on them to aid with consequential public-sector functions, including tax administration, regulatory oversight, and benefits administration. Despite machine-learning algorithms’ superior predictive power over conventional analytic tools, algorithmic forecasts are difficult to understand and explain. Machine learning’s “black-box” nature has thus raised concern: Can algorithmic governance be squared with legal principles of governmental transparency? We analyze this question and conclude that machine-learning algorithms’ relative inscrutability does not pose a …


Governmental Intervention In An Economic Crisis, Robert K. Rasmussen, David A. Skeel Jr. Jan 2016

Governmental Intervention In An Economic Crisis, Robert K. Rasmussen, David A. Skeel Jr.

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This paper articulates a framework both for assessing the various government bailouts that took place at the onset of Great Recession and for guiding future rescue efforts when they become necessary. The goals for those engineering a bailout should be to be as transparent as possible, to articulate clearly the reason for the intervention, to respect existing priorities among investors, to exercise control only at the top level where such efforts can be seen by the public, and to exit as soon as possible. By these metrics, some of the recent bailouts should be applauded, while others fell short. We …