Public Administration Commons^™

Regulating Machine Learning: The Challenge Of Heterogeneity, Cary Coglianese

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Machine learning, or artificial intelligence, refers to a vast array of different algorithms that are being put to highly varied uses, including in transportation, medicine, social media, marketing, and many other settings. Not only do machine-learning algorithms vary widely across their types and uses, but they are evolving constantly. Even the same algorithm can perform quite differently over time as it is fed new data. Due to the staggering heterogeneity of these algorithms, multiple regulatory agencies will be needed to regulate the use of machine learning, each within their own discrete area of specialization. Even these specialized expert agencies, though, …

Solving The Congressional Review Act’S Conundrum, Cary Coglianese

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Congress routinely enacts statutes that require federal agencies to adopt specific regulations. When Congress passed the Dodd-Frank Wall Street Reform and Consumer Protection Act in 2010, for example, it mandated that the Securities and Exchange Commission (SEC) adopt an anti-corruption regulation requiring energy companies to disclose payments they make to foreign governments. Although the Dodd-Frank Act specifically required the SEC to adopt this disclosure requirement, the agency’s eventual regulation was also, like other administrative rules, subject to disapproval by Congress under a process outlined in a separate statute known as the Congressional Review Act (CRA).

After the SEC issued its …

Assessing Automated Administration, Cary Coglianese, Alicia Lai

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To fulfill their responsibilities, governments rely on administrators and employees who, simply because they are human, are prone to individual and group decision-making errors. These errors have at times produced both major tragedies and minor inefficiencies. One potential strategy for overcoming cognitive limitations and group fallibilities is to invest in artificial intelligence (AI) tools that allow for the automation of governmental tasks, thereby reducing reliance on human decision-making. Yet as much as AI tools show promise for improving public administration, automation itself can fail or can generate controversy. Public administrators face the question of when exactly they should use automation. …

Moving Toward Personalized Law, Cary Coglianese

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Rules operate as a tool of governance by making generalizations, thereby cutting down on government officials’ need to make individual determinations. But because they are generalizations, rules can result in inefficient or perverse outcomes due to their over- and under-inclusiveness. With the aid of advances in machine-learning algorithms, however, it is becoming increasingly possible to imagine governments shifting away from a predominant reliance on general rules and instead moving toward increased reliance on precise individual determinations—or on “personalized law,” to use the term Omri Ben-Shahar and Ariel Porat use in the title of their 2021 book. Among the various technological, …

Algorithm Vs. Algorithm, Cary Coglianese, Alicia Lai

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Critics raise alarm bells about governmental use of digital algorithms, charging that they are too complex, inscrutable, and prone to bias. A realistic assessment of digital algorithms, though, must acknowledge that government is already driven by algorithms of arguably greater complexity and potential for abuse: the algorithms implicit in human decision-making. The human brain operates algorithmically through complex neural networks. And when humans make collective decisions, they operate via algorithms too—those reflected in legislative, judicial, and administrative processes. Yet these human algorithms undeniably fail and are far from transparent. On an individual level, human decision-making suffers from memory limitations, fatigue, …

From Negative To Positive Algorithm Rights, Cary Coglianese, Kat Hefter

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Artificial intelligence, or “AI,” is raising alarm bells. Advocates and scholars propose policies to constrain or even prohibit certain AI uses by governmental entities. These efforts to establish a negative right to be free from AI stem from an understandable motivation to protect the public from arbitrary, biased, or unjust applications of algorithms. This movement to enshrine protective rights follows a familiar pattern of suspicion that has accompanied the introduction of other technologies into governmental processes. Sometimes this initial suspicion of a new technology later transforms into widespread acceptance and even a demand for its use. In this paper, we …

Antitrust By Algorithm, Cary Coglianese, Alicia Lai

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Technological innovation is changing private markets around the world. New advances in digital technology have created new opportunities for subtle and evasive forms of anticompetitive behavior by private firms. But some of these same technological advances could also help antitrust regulators improve their performance in detecting and responding to unlawful private conduct. We foresee that the growing digital complexity of the marketplace will necessitate that antitrust authorities increasingly rely on machine-learning algorithms to oversee market behavior. In making this transition, authorities will need to meet several key institutional challenges—building organizational capacity, avoiding legal pitfalls, and establishing public trust—to ensure successful …

The Deregulation Deception, Cary Coglianese, Natasha Sarin, Stuart Shapiro

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President Donald Trump and members of his Administration repeatedly asserted that they had delivered substantial deregulation that fueled positive trends in the U.S. economy prior to the COVID pandemic. Drawing on an original analysis of data on federal regulation from across the Trump Administration’s four years, we show that the Trump Administration actually accomplished much less by way of deregulation than it repeatedly claimed—and much less than many commentators and scholars have believed. In addition, and also contrary to the Administration’s claims, overall economic trends in the pre-pandemic Trump years tended simply to follow economic trends that began years earlier. …

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

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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 …

Privacy Vs. Transparency: Handling Protected Materials In Agency Rulemaking, Christopher S. Yoo, Kellen Mccoy

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Agencies conducting informal rulemaking proceedings increasingly confront conflicting duties with respect to protected materials included in information submitted in public rulemaking dockets. They must reconcile the broad commitment to openness and transparency reflected in federal law with the duty to protect confidential business information (CBI) and personally identifiable information (PII) against improper disclosure.

This Article presents an analysis of how agencies can best balance these often-countervailing considerations. Part I explores the statutory duties to disclose and withhold information submitted in public rulemaking dockets placed on agencies. It also examines judicial decisions and other legal interpretations regarding the proper way to …

Compliance Management Systems: Do They Make A Difference?, Cary Coglianese, Jennifer Nash

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Regulatory compliance is vital for promoting the public values served by regulation. Yet many businesses remain out of compliance with some of the regulations that apply to them—presenting not only possible dangers to the public but also exposing themselves to potentially significant liability risk. Compliance management systems (CMSs) may help reduce the likelihood of noncompliance. In recent years, managers have begun using CMSs in an effort to address compliance issues in a variety of domains: environment, workplace health and safety, finance, health care, and aviation, among others. CMSs establish systematic, checklist-like processes by which managers seek to improve their organizations’ …

Ai In Adjudication And Administration, Cary Coglianese, Lavi M. Ben Dor

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The use of artificial intelligence has expanded rapidly in recent years across many aspects of the economy. For federal, state, and local governments in the United States, interest in artificial intelligence has manifested in the use of a series of digital tools, including the occasional deployment of machine learning, to aid in the performance of a variety of governmental functions. In this paper, we canvas the current uses of such digital tools and machine-learning technologies by the judiciary and administrative agencies in the United States. Although we have yet to see fully automated decision-making find its way into either adjudication …

What Regulators Can Learn From Global Health Governance, Cary Coglianese

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The Great Pandemic of 2020 shows how much public health around the world depends on effective global and domestic governance. Yet for too long, global health governance and domestic regulatory governance have remained largely separate fields of scholarship and practice. In her book, Global Health Justice and Governance, Jennifer Prah Ruger offers scholars and practitioners of regulatory governance an excellent opportunity to see how domestic regulation shares many of the same problems, strategies, and challenges as global health governance. These commonalities reinforce how much national and subnational regulators can learn from global health governance. Drawing on insights from Prah …

Administrative Law In The Automated State, Cary Coglianese

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In the future, administrative agencies will rely increasingly on digital automation powered by machine learning algorithms. Can U.S. administrative law accommodate such a future? Not only might a highly automated state readily meet longstanding administrative law principles, but the responsible use of machine learning algorithms might perform even better than the status quo in terms of fulfilling administrative law’s core values of expert decision-making and democratic accountability. Algorithmic governance clearly promises more accurate, data-driven decisions. Moreover, due to their mathematical properties, algorithms might well prove to be more faithful agents of democratic institutions. Yet even if an automated state were …

Administrative Law In A Time Of Crisis: Comparing National Responses To Covid-19, Cary Coglianese, Neysun A. Mahboubi

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Beginning in early 2020, countries around the world successively and then together faced the same rapidly emerging threats from the COVID-19 virus. The shared experience of this global pandemic affords scholars and policymakers a comparative lens through which to view how differences in countries’ governance structures and administrative responses affected their ability to manage the various crisis posed by the pandemic. This article introduces a special series of essays in the Administrative Law Review written by leading administrative law experts across the globe. Case studies focus on China, Chile, Germany, Italy, New Zealand, South Africa, and the United States, as …

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 …

Understanding The Revenue Potential Of Tax Compliance Investment, Natasha Sarin, Lawrence H. Summers

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In a July 2020 report, the Congressional Budget Office estimated that modest investments in the IRS would generate somewhere between $60 and $100 billion in additional revenue over a decade. This is qualitatively correct. But quantitatively, the revenue potential is much more significant than the CBO report suggests. We highlight five reasons for the CBO’s underestimation: 1) the scale of the investment in the IRS contemplated is modest and far short of sufficient even to return the IRS budget to 2011 levels; 2) the CBO contemplates a limited range of interventions, excluding entirely progress on information reporting and technological advancements; …

Deploying Machine Learning For A Sustainable Future, Cary Coglianese

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To meet the environmental challenges of a warming planet and an increasingly complex, high tech economy, government must become smarter about how it makes policies and deploys its limited resources. It specifically needs to build a robust capacity to analyze large volumes of environmental and economic data by using machine-learning algorithms to improve regulatory oversight, monitoring, and decision-making. Three challenges can be expected to drive the need for algorithmic environmental governance: more problems, less funding, and growing public demands. This paper explains why algorithmic governance will prove pivotal in meeting these challenges, but it also presents four likely obstacles that …

Regulatory Abdication In Practice, Cary Coglianese

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“Meta-regulation” refers to deliberate efforts to induce private firms to create their own internal regulations—a regulatory strategy sometimes referred to as “management-based regulation” or even “regulation of self-regulation.” Meta-regulation is often presented as a flexible alternative to traditional “command-and-control” regulation. But does meta-regulation actually work? In her recent book, Meta-Regulation in Practice: Beyond Normative Views of Morality and Rationality, Fiona Simon purports to offer a critique of meta-regulation based on an extended case study of the often-feckless process of electricity regulatory reform undertaken in Australia in the early part of this century. Yet neither Simon’s case study nor her book …

Litigating Epa Rules: A Fifty-Year Retrospective Of Environmental Rulemaking In The Courts, Cary Coglianese, Daniel E. Walters

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Over the last fifty years, the U.S. Environmental Protection Agency (EPA) has found itself repeatedly defending its regulations before federal judges. The agency’s engagement with the federal judiciary has resulted in prominent Supreme Court decisions, such as Chevron v. NRDC and Massachusetts v. EPA, which have left a lasting imprint on federal administrative law. Such prominent litigation has also fostered, for many observers, a longstanding impression of an agency besieged by litigation. In particular, many lawyers and scholars have long believed that unhappy businesses or environmental groups challenge nearly every EPA rule in court. Although some empirical studies have …

Management-Based Regulation, Cary Coglianese, Shana M. Starobin

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Environmental regulators have embraced management-based regulation as a flexible instrument for addressing a range of important problems often poorly addressed by other types of regulations. Under management-based regulation, regulated firms must engage in management-related activities oriented toward addressing targeted problems—such as planning and analysis to mitigate risk and the implementation of internal management systems geared towards continuous improvement. In contrast with more restrictive forms of regulation which can impose one-size-fits-all solutions, management-based regulation offers firms greater operational choice about how to solve regulatory problems, leveraging firms’ internal informational advantage to innovate and search for alternative measures to achieve the intended …

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 …

Conclusion: Law As Scapegoat, Cary Coglianese

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Populist nationalist movements have been on the rise around the world in recent years. These movements have tapped into, and fueled, a deep anger among many members of the public. Especially in the face of stagnant or declining economic prospects—as well as expanding inequality—much anger has been directed at minorities and migrants. Politicians with authoritarian tendencies have sought to leverage such public anger by reinforcing tendencies to scapegoat others for their society’s problems. In this paper, I show that laws and regulations—like migrants—can be framed as “the other” too and made into scapegoats. With reference to developments in Brazil, the …

Rulers Or Rules? International Law, Elite Cues And Public Opinion, Anton Strezhnev, Beth A. Simmons, Matthew D. Kim

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One of the mechanisms by which international law can shape domestic politics is through its effects on public opinion. However, a growing number of national leaders have begun to advocate policies that ignore or even deny international law constraints. This article investigates whether international law messages can still shift public opinion even in the face of countervailing elite cues. It reports results from survey experiments conducted in three countries, the United States, Australia and India, which examined attitudes on a highly salient domestic political issue: restrictions on refugee admissions. In each experimental vignette, respondents were asked about their opinion on …

Teaching Voluntary Codes And Standards To Law Students, Cary Coglianese, Caroline Raschbaum

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Voluntary codes and standards issued by nongovernmental institutions affect many aspects of legal work and daily life. Although these codes and standards are voluntary—that is, they are not directly enforceable through civil or criminal penalties—they can and do often shape behavior. Codes and standards inform business practices and product designs. They affect the provisions of contracts and the licensing of patents. And, among still other uses, they affect the handling of evidence in criminal law matters.

More broadly, voluntary codes and standards can play a role similar to, or even take the place of, government regulations. Regulators regularly defer to …

Getting The Blend Right: Public-Private Partnerships In Risk Management, Cary Coglianese

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The question of whether there is too much or too little regulation in the United States has driven much political debate for decades. The more important question, though, is not about getting the right amount of regulation but it is about finding the best ways for the public and private sectors to interact. When it comes to managing risk in society, this latter question is necessarily one of choosing between different kinds of structures—or partnerships—between public and private institutions. Sometimes these partnerships are adversarial, as they can be with government regulation. Other times they are seemingly invisible, such as when …

The Effects Of Holistic Defense On Criminal Justice Outcomes, James Anderson, Maya Buenaventura, Paul Heaton

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No abstract provided.

Applying Sentinel Event Reviews To Policing, John Hollway, Ben Grunwald

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A sentinel event review (SER) is a system-based, multistakeholder review of an organizational error. The goal of an SER is to prevent similar errors from recurring in the future rather than identifying and punishing the responsible parties. In this article, we provide a detailed description of one of the first SERs conducted in an American police department—the review of the Lex Street Massacre investigation and prosecution, which resulted in the wrongful incarceration of four innocent men for 18 months. The results of the review suggest that SERs may help identify new systemic reforms for participating police departments and other criminal …

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 …