Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 30 of 30

Full-Text Articles in Public Affairs, Public Policy and Public Administration

Regulating Machine Learning: The Challenge Of Heterogeneity, Cary Coglianese Feb 2023

Regulating Machine Learning: The Challenge Of Heterogeneity, Cary Coglianese

All Faculty Scholarship

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, …


Assessing Automated Administration, Cary Coglianese, Alicia Lai Apr 2022

Assessing Automated Administration, Cary Coglianese, Alicia Lai

All Faculty Scholarship

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 Mar 2022

Moving Toward Personalized Law, Cary Coglianese

All Faculty Scholarship

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 Jan 2022

Algorithm Vs. Algorithm, Cary Coglianese, Alicia Lai

All Faculty Scholarship

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 Jan 2022

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

All Faculty Scholarship

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 Jan 2022

Antitrust By Algorithm, Cary Coglianese, Alicia Lai

All Faculty Scholarship

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 …


Regulating New Tech: Problems, Pathways, And People, Cary Coglianese Dec 2021

Regulating New Tech: Problems, Pathways, And People, Cary Coglianese

All Faculty Scholarship

New technologies bring with them many promises, but also a series of new problems. Even though these problems are new, they are not unlike the types of problems that regulators have long addressed in other contexts. The lessons from regulation in the past can thus guide regulatory efforts today. Regulators must focus on understanding the problems they seek to address and the causal pathways that lead to these problems. Then they must undertake efforts to shape the behavior of those in industry so that private sector managers focus on their technologies’ problems and take actions to interrupt the causal pathways. …


Administrative Law In The Automated State, Cary Coglianese Jan 2021

Administrative Law In The Automated State, Cary Coglianese

All Faculty Scholarship

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 …


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

Contracting For Algorithmic Accountability, Cary Coglianese, Erik Lampmann

All Faculty Scholarship

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 …


On Environmental, Climate Change & National Security Law, Mark P. Nevitt Oct 2020

On Environmental, Climate Change & National Security Law, Mark P. Nevitt

All Faculty Scholarship

This Article offers a new way to think about climate change. Two new climate change assessments — the 2018 Fourth National Climate Assessment (NCA) and the United Nations Intergovernmental Panel’s Special Report on Climate Change — prominently highlight climate change’s multifaceted national security risks. Indeed, not only is climate change a “super wicked” environmental problem, it also accelerates existing national security threats, acting as both a “threat accelerant” and “catalyst for conflict.” Further, climate change increases the intensity and frequency of extreme weather events while threatening nations’ territorial integrity and sovereignty through rising sea levels. It causes both internal displacement …


Environmental Soft Law As A Governance Strategy, Cary Coglianese Oct 2020

Environmental Soft Law As A Governance Strategy, Cary Coglianese

All Faculty Scholarship

Soft law governance relies on nongovernmental institutions that establish and implement voluntary standards. Compared with traditional hard law solutions to societal and economic problems, soft law alternatives promise to be more politically feasible to establish and then easier to adapt in the face of changing circumstances. They may also seem more likely to be flexible in what they demand of targeted businesses and other entities. But can soft law actually work to solve major problems? This Article considers the value of soft law governance through the lens of three major voluntary, nongovernmental initiatives that address environmental concerns: (1) ISO 14001 …


Deploying Machine Learning For A Sustainable Future, Cary Coglianese May 2020

Deploying Machine Learning For A Sustainable Future, Cary Coglianese

All Faculty Scholarship

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 …


Regulation Of Algorithmic Tools In The United States, Christopher S. Yoo, Alicia Lai Jan 2020

Regulation Of Algorithmic Tools In The United States, Christopher S. Yoo, Alicia Lai

All Faculty Scholarship

Policymakers in the United States have just begun to address regulation of artificial intelligence technologies in recent years, gaining momentum through calls for additional research funding, piece-meal guidance, proposals, and legislation at all levels of government. This Article provides an overview of high-level federal initiatives for general artificial intelligence (AI) applications set forth by the U.S. president and responding agencies, early indications from the incoming Biden Administration, targeted federal initiatives for sector-specific AI applications, pending federal legislative proposals, and state and local initiatives. The regulation of the algorithmic ecosystem will continue to evolve as the United States continues to search …


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

Transparency And Algorithmic Governance, Cary Coglianese, David Lehr

All Faculty Scholarship

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 …


Wireless Network Neutrality: Technological Challenges And Policy Implications, Christopher S. Yoo Jan 2016

Wireless Network Neutrality: Technological Challenges And Policy Implications, Christopher S. Yoo

All Faculty Scholarship

One key aspect of the debate over network neutrality has been whether and how network neutrality should apply to wireless networks. The existing commentary has focused on the economics of wireless network neutrality, but to date a detailed analysis of how the technical aspects of wireless networks affect the implementation of network neutrality has yet to appear in the literature. As an initial matter, bad handoffs, local congestion, and the physics of wave propagation make wireless broadband networks significantly less reliable than fixed broadband networks. These technical differences require the network to manage dropped packets and congestion in a way …


Can We Learn Anything About Pleading Changes From Existing Data?, Jonah B. Gelbach Jan 2015

Can We Learn Anything About Pleading Changes From Existing Data?, Jonah B. Gelbach

All Faculty Scholarship

In light of the gateway role that the pleading standard can play in our civil litigation system, measuring the empirical effects of pleading policy changes embodied in the Supreme Court's controversial Twombly and Iqbal cases is important. In my earlier paper, Locking the Doors to Discovery, I argued that in doing so, special care is required in formulating the object of empirical study. Taking party behavior seriously, as Locking the Doors does, leads to empirical results suggesting that Twombly and Iqbal have had substantial effects among cases that face Rule 12(b)(6) motions post-Iqbal. This paper responds to …


Moore’S Law, Metcalfe’S Law, And The Theory Of Optimal Interoperability, Christopher S. Yoo Jan 2015

Moore’S Law, Metcalfe’S Law, And The Theory Of Optimal Interoperability, Christopher S. Yoo

All Faculty Scholarship

Many observers attribute the Internet’s success to two principles: Moore’s Law and Metcalfe’s Law. These precepts are often cited to support claims that larger networks are inevitably more valuable and that costs in a digital environment always decrease. This Article offers both a systematic description of both laws and then challenges the conventional wisdom by exploring their conceptual limitations. It also explores how alternative mechanisms, such as gateways and competition, can permit the realization benefits typically attributed to Moore’s Law and Metcalfe’s Law without requiring increases in network size.


Expert Mining And Required Disclosure, Jonah B. Gelbach Jan 2014

Expert Mining And Required Disclosure, Jonah B. Gelbach

All Faculty Scholarship

No abstract provided.


Enhancing Public Access To Online Rulemaking Information, Cary Coglianese Oct 2012

Enhancing Public Access To Online Rulemaking Information, Cary Coglianese

All Faculty Scholarship

One of the most significant powers exercised by federal agencies is their power to make rules. Given the importance of agency rulemaking, the process by which agencies develop rules has long been subject to procedural requirements aiming to advance democratic values of openness and public participation. With the advent of the digital age, government agencies have engaged in increasing efforts to make rulemaking information available online as well as to elicit public participation via electronic means of communication. How successful are these efforts? How might they be improved? In this article, I investigate agencies’ efforts to make rulemaking information available …


The Ecological Advantages Of Nuclear Power, Fred P. Bosselman Dec 2009

The Ecological Advantages Of Nuclear Power, Fred P. Bosselman

All Faculty Scholarship

Major electric utilities are deciding whether to build nuclear power plants. How will their decision affect ecological processes and systems, both in the United States and globally? The article makes three arguments: (1) if nuclear power plants are not built, the gap will be filled by more coal-fired power plants; (2) the impact of coal-fired power plants on ecological processes and systems is likely to be increasingly disastrous; and (3) nuclear power’s ecological impacts are likely to be neutral or even positive.


Planning For A Bull Market For Wetlands, Fred P. Bosselman Feb 2009

Planning For A Bull Market For Wetlands, Fred P. Bosselman

All Faculty Scholarship

Until recently, wetlands had value in the marketplace only as targets for destruction. Today, wetlands often have market value for uses that do not require that they be dredged and filled. Such opportunities include: 1. Carbon storage offsets for greenhouse gas emissions; 2. Mitigation banks for destruction of other wetlands; 3. Conservation banks for wildlife protection; 4. Tradable water quality protection rights; 5. Sites for growing algae or other biofuel crops. These new uses have valid public benefits, but most laws and ordinances were not written with these possibilities in mind. Planners and lawyers need to think about ways to …


The Environment And Climate Change: Is International Migration Part Of The Problem Or Part Of The Solution?, Howard F. Chang Jan 2009

The Environment And Climate Change: Is International Migration Part Of The Problem Or Part Of The Solution?, Howard F. Chang

All Faculty Scholarship

No abstract provided.


Problems Of Equity And Efficiency In The Design Of International Greenhouse Gas Cap-And-Trade Schemes, Jason S. Johnston Jan 2009

Problems Of Equity And Efficiency In The Design Of International Greenhouse Gas Cap-And-Trade Schemes, Jason S. Johnston

All Faculty Scholarship

This article argues that international greenhouse gas (GHG) cap-and-trade schemes suffer from inherent problems of enforceability and verifiability that both cause significant inefficiencies and create inevitable tradeoffs between equity and efficiency. A standard result in the economic analysis of international GHG cap and trade schemes is that an allocation of initial permits that favors poor, developing countries (making such countries net sellers in equilibrium) may be necessary not only to further redistributive goals but also the efficiency of the GHG cap and trade scheme. This coincidence of equity and efficiency is, however, unlikely to be realized under more realistic assumptions …


From The States Up: Building A National Renewable Energy Policy, Shelley Welton Jan 2008

From The States Up: Building A National Renewable Energy Policy, Shelley Welton

All Faculty Scholarship

In 2006, a U.S. Government Accountability Office (GAO) report concluded that “[r]educing the nation’s dependence on oil and carbon dioxide emissions in the next 25 years is not unlike the 1960s challenge to put a man on the moon.” In fact, this analogy may be understated. While the scope of the two challenges is similarly daunting, the consequences of failure are potentially much more serious in the case of the energy challenge. One key component of addressing this challenge will be changing the ways in which the U.S. meets its seemingly insatiable electricity demand. The environmental, foreign policy, health, and …


Reasonable Emissions Of Greenhouse Gases: Efficient Abatement For A Stock Pollutant, Howard F. Chang Jan 2007

Reasonable Emissions Of Greenhouse Gases: Efficient Abatement For A Stock Pollutant, Howard F. Chang

All Faculty Scholarship

No abstract provided.


Against 'Individual Risk': A Sympathetic Critique Of Risk Assessment, Matthew D. Adler Mar 2005

Against 'Individual Risk': A Sympathetic Critique Of Risk Assessment, Matthew D. Adler

All Faculty Scholarship

"Individual risk" currently plays a major role in risk assessment and in the regulatory practices of the health and safety agencies that employ risk assessment, such as EPA, FDA, OSHA, NRC, CPSC, and others. Risk assessors use the term "population risk" to mean the number of deaths caused by some hazard. By contrast, "individual risk" is the incremental probability of death that the hazard imposes on some particular person. Regulatory decision procedures keyed to individual risk are widespread. This is true both for the regulation of toxic chemicals (the heartland of risk assessment), and for other health hazards, such as …


Shifting Sands: The Limits Of Science In Setting Risk Standards, Cary Coglianese, Gary E. Marchant Apr 2004

Shifting Sands: The Limits Of Science In Setting Risk Standards, Cary Coglianese, Gary E. Marchant

All Faculty Scholarship

Regulators need to rely on science to understand problems and predict the consequences of regulatory actions, but over reliance on science can actually contribute to, or at least deflect attention from, incoherent policymaking. In this article, we explore the problems with using science to justify policy decisions by analyzing the Environmental Protection Agency's recently revised air quality standards for ground-level ozone and particulate matter, some of the most significant regulations ever issued. In revising these standards, EPA mistakenly invoked science as the exclusive basis for its decisions and deflected attention from a remarkable series of inconsistencies. For example, even though …


E-Rulemaking: Information Technology And The Regulatory Process: New Directions In Digital Government Research, Cary Coglianese Jan 2004

E-Rulemaking: Information Technology And The Regulatory Process: New Directions In Digital Government Research, Cary Coglianese

All Faculty Scholarship

Electronic rulemaking, or e-rulemaking, offers the potential to overcome some of the informational challenges associated with developing regulations. E-rulemaking refers to the use of digital technologies in the development and implementation of regulations. The use of these technologies may help streamline and improve regulatory management, such as by helping agency staff retrieve and analyze vast quantities of information from diverse sources. By taking better advantage of advances in digital technologies, agencies might also be able to increase the public's access to and involvement in rulemaking. Part I of this article details the rulemaking process, outlining the procedures agencies must currently …


Incentives To Settle Under Joint And Several Liability: An Empirical Analysis Of Superfund Litigation, Howard F. Chang, Hilary Sigman Jan 2000

Incentives To Settle Under Joint And Several Liability: An Empirical Analysis Of Superfund Litigation, Howard F. Chang, Hilary Sigman

All Faculty Scholarship

Congress may soon restrict joint and several liability for cleanup of contaminated sites under Superfund. We explore whether this change would discourage settlements and is therefore likely to increase the program 's already high litigation costs per site. Recent theoretical research by Kornhauser and Revesz finds that joint and several liability may either encourage or discourage settlement, depending on the correlation of outcomes at trial across defendants. We extend their two-defendant model to a richer framework with N defendants. This extension allows us to test the theoretical model empirically using data on Superfund litigation. We find that joint and several …


Protecting The Environment: Finding The Balance Between Delaney And Free Play, Geoffrey C. Hazard Jr., Howard C. Kunreuther Jan 1997

Protecting The Environment: Finding The Balance Between Delaney And Free Play, Geoffrey C. Hazard Jr., Howard C. Kunreuther

All Faculty Scholarship

No abstract provided.