Science and Technology Law Commons^™

The Automated Fourth Amendment, Maneka Sinha

Faculty Scholarship

Courts routinely defer to police officer judgments in reasonable suspicion and probable cause determinations. Increasingly, though, police officers outsource these threshold judgments to new forms of technology that purport to predict and detect crime and identify those responsible. These policing technologies automate core police determinations about whether crime is occurring and who is responsible. Criminal procedure doctrine has failed to insist on some level of scrutiny of—or skepticism about—the reliability of this technology. Through an original study analyzing numerous state and federal court opinions, this Article exposes the implications of law enforcement’s reliance on these practices given the weighty interests …

A Public Technology Option, Hannah Bloch-Wehba

Faculty Scholarship

Private technology increasingly underpins public governance. But the state’s growing reliance on private firms to provide a variety of complex technological products and services for public purposes brings significant costs for transparency: new forms of governance are becoming less visible and less amenable to democratic control. Transparency obligations initially designed for public agencies are a poor fit for private vendors that adhere to a very different set of expectations.

Aligning the use of technology in public governance with democratic values calls for rethinking, and in some cases abandoning, the legal structures and doctrinal commitments that insulate private vendors from meaningful …

The Failure Of Market Efficiency, William Magnuson

Faculty Scholarship

Recent years have witnessed the near total triumph of market efficiency as a regulatory goal. Policymakers regularly proclaim their devotion to ensuring efficient capital markets. Courts use market efficiency as a guiding light for crafting legal doctrine. And scholars have explored in great depth the mechanisms of market efficiency and the role of law in promoting it. There is strong evidence that, at least on some metrics, our capital markets are indeed more efficient than they have ever been. But the pursuit of efficiency has come at a cost. By focusing our attention narrowly on economic efficiency concerns—such as competition, …

Algorithmic Governance From The Bottom Up, Hannah Bloch-Wehba

Faculty Scholarship

Artificial intelligence and machine learning are both a blessing and a curse for governance. In theory, algorithmic governance makes government more efficient, more accurate, and more fair. But the emergence of automation in governance also rests on public-private collaborations that expand both public and private power, aggravate transparency and accountability gaps, and create significant obstacles for those seeking algorithmic justice. In response, a nascent body of law proposes technocratic policy changes to foster algorithmic accountability, ethics, and transparency.

This Article examines an alternative vision of algorithmic governance, one advanced primarily by social and labor movements instead of technocrats and firms. …

Transparency's Ai Problem, Hannah Bloch-Wehba

Faculty Scholarship

A consensus seems to be emerging that algorithmic governance is too opaque and ought to be made more accountable and transparent. But algorithmic governance underscores the limited capacity of transparency law—the Freedom of Information Act and its state equivalents—to promote accountability. Drawing on the critical literature on “open government,” this Essay shows that algorithmic governance reflects and amplifies systemic weaknesses in the transparency regime, including privatization, secrecy, private sector cooptation, and reactive disclosure. These deficiencies highlight the urgent need to reorient transparency and accountability law toward meaningful public engagement in ongoing oversight. This shift requires rethinking FOIA’s core commitment to …

Data Autonomy, Cesare Fracassi, William Magnuson

Faculty Scholarship

In recent years, “data privacy” has vaulted to the forefront of public attention. Scholars, policymakers, and the media have, nearly in unison, decried the lack of data privacy in the modern world. In response, they have put forth various proposals to remedy the situation, from the imposition of fiduciary obligations on technology platforms to the creation of rights to be forgotten for individuals. All these proposals, however, share one essential assumption: we must raise greater protective barriers around data. As a scholar of corporate finance and a scholar of corporate law, respectively, we find this assumption problematic. Data, after all, …

A Unified Theory Of Data, William Magnuson

Faculty Scholarship

How does the proliferation of data in our modern economy affect our legal system? Scholars that have addressed the question have nearly universally agreed that the dramatic increases in the amount of data available to companies, as well as the new uses to which that data is being put, raise fundamental problems for our regulatory structures. But just what those problems might be remains an area of deep disagreement. Some argue that the problem with data is that current uses lead to discriminatory results that harm minority groups. Some argue that the problem with data is that it impinges on …

Beyond Transparency And Accountability: Three Additional Features Algorithm Designers Should Build Into Intelligent Platforms, Peter K. Yu

Faculty Scholarship

In the age of artificial intelligence, innovative businesses are eager to deploy intelligent platforms to detect and recognize patterns, predict customer choices and shape user preferences. Yet such deployment has brought along the widely documented problems of automated systems, including coding errors, corrupt data, algorithmic biases, accountability deficits and dehumanizing tendencies. In response to these problems, policymakers, commentators and consumer advocates have increasingly called on businesses seeking to ride the artificial intelligence wave to build transparency and accountability into algorithmic designs.

While acknowledging these calls for action and appreciating the benefits and urgency of building transparency and accountability into algorithmic …

Constructing Countervailing Power: Law And Organizing In An Era Of Political Inequality, Kate Andrias

Faculty Scholarship

This Article proposes an innovative approach to remedying the crisis of political inequality: using law to facilitate organizing by the poor and working class, not only as workers, but also as tenants, debtors, welfare beneficiaries, and others. The piece draws on the social-movements literature, and the successes and failures of labor law, to show how law can supplement the deficient regimes of campaign finance and lobbying reform and enable lower-income groups to build organizations capable of countervailing the political power of the wealthy. As such, the Article offers a new direction forward for the public-law literature on political power and …

Disability And Design, Christopher Buccafusco

Faculty Scholarship

When scholars contemplate the legal tools available to policymakers for encouraging innovation, they primarily think about patents. If they are keeping up with the most recent literature, they may also consider grants, prizes, and taxes as means to increase the supply of innovation. But the innovation policy toolkit is substantially deeper than that. To demonstrate its depth, this Article explores the evolution of designs that help people with disabilities access the world around them. From artificial limbs to the modern wheelchair and the reshaping of the built environment, a variety of legal doctrines have influenced, for better and for worse, …

Law's Halo And The Moral Machine, Bert I. Huang

Faculty Scholarship

How will we assess the morality of decisions made by artificial intelli­gence – and will our judgments be swayed by what the law says? Focusing on a moral dilemma in which a driverless car chooses to sacrifice its passenger to save more people, this study offers evidence that our moral intuitions can be influenced by the presence of the law.

Prediction, Persuasion, And The Jurisprudence Of Behaviorism, Frank A. Pasquale, Glyn Cashwell

Faculty Scholarship

No abstract provided.

A Rule Of Persons, Not Machines: The Limits Of Legal Automation, Frank A. Pasquale

Faculty Scholarship

No abstract provided.

Is The Future Of Law A Driverless Car? Assessing How The Data Analytics Revolution Will Transform Legal Practice, Eric L. Talley

Faculty Scholarship

Machine learning and artificial intelligence technologies (“data analytics”) are quickly transforming research and practice in law, raising questions of whether the law can survive as a vibrant profession for natural persons to enter. In this article, I argue that data analytics approaches are overwhelmingly likely to continue to penetrate law, even in domains that have heretofore been dominated by human decision makers. As a vehicle for demonstrating this claim, I describe an extended example of using machine learning to identify and categorize fiduciary duty waiver provisions in publicly disclosed corporate documents. Notwithstanding the power of machine learning techniques, however, I …

Young Adulthood As A Transitional Legal Category: Science, Social Change, And Justice Policy, Elizabeth S. Scott, Richard J. Bonnie, Laurence Steinberg

Faculty Scholarship

In the past decade, much attention has focused on developmental brain research and its implications for the regulation of crime. Public and policy interest has been directed primarily toward juveniles. In light of recent research, courts and legislatures increasingly have rejected the punitive response of the 1990s and embraced a developmental approach to young offenders. Of particular importance in propelling this trend has been the framework offered by the U.S. Supreme Court in a series of Eighth Amendment opinions that have rejected harsh adult sentences for juveniles. These decisions, supported by adolescent brain research, rested on two empirically based principles: …

G2i Knowledge Brief: A Knowledge Brief Of The Macarthur Foundation Research Network On Law And Neuroscience, David L. Faigman, Anthony Wagner, Richard J. Bonnie, Bj Casey, Andre Davis, Morris B. Hoffman, Owen D. Jones, Read Montague, Stephen J. Morse, Marcus E. Raichle, Jennifer A. Richeson, Elizabeth S. Scott, Laurence Steinberg, Kim Taylor-Thompson, Gideon Yaffe

Faculty Scholarship

Courts are daily confronted with admissibility issues – such as in cases involving neuroscientific testimony – that sometimes involve both the existence of a general phenomenon (i.e., “G”) and the question of whether a particular case represents a specific instance of that general phenomenon (i.e., “i”).

Unfortunately, courts have yet to carefully consider the implications of “G2i” for their admissibility decisions. In some areas, courts limit an expert’s testimony to the general phenomenon. They insist that whether the case at hand is an instance of that phenomenon is exclusively a jury question, and thus not an appropriate subject of expert …

The Spectrum Of Control: A Social Theory Of The Smart City, Jathan Sadowski, Frank A. Pasquale

Faculty Scholarship

There is a certain allure to the idea that cities allow a person to both feel at home and like a stranger in the same place. That one can know the streets and shops, avenues and alleys, while also going days without being recognized. But as elites fill cities with “smart” technologies—turning them into platforms for the “Internet of Things” (IoT): sensors and computation embedded within physical objects that then connect, communicate, and/or transmit information with or between each other through the Internet—there is little escape from a seamless web of surveillance and power. This paper will outline a social …

Four Futures Of Legal Automation, Frank A. Pasquale, Glyn Cashwell

Faculty Scholarship

Simple legal jobs (such as document coding) are prime candidates for legal automation. More complex tasks cannot be routinized. So far, the debate on the likely scope and intensity of legal automation has focused on the degree to which legal tasks are simple or complex. Just as important to the legal profession, however, is the degree of regulation or deregulation likely in the future.

Situations involving conflicting rights, unique fact patterns, and open-ended laws will remain excessively difficult to automate for an extended period of time. Deregulation, however, may effectively strip many persons of their rights, rendering once-hard cases simple. …

A Shattered Looking Glass: The Pitfalls And Potential Of The Mosaic Theory Of Fourth Amendment Privacy, David C. Gray, Danielle Keats Citron

Faculty Scholarship

On January 23, 2012, the Supreme Court issued a landmark non-decision in United States v. Jones. In that case, officers used a GPS-enabled device to track a suspect’s public movements for four weeks, amassing a considerable amount of data in the process. Although ultimately resolved on narrow grounds, five Justices joined concurring opinions in Jones expressing sympathy for some version of the “mosaic theory” of Fourth Amendment privacy. This theory holds that we maintain reasonable expectations of privacy in certain quantities of information even if we do not have such expectations in the constituent parts. This Article examines and …

The Social Control Of Science And Technology, Michael S. Baram

Faculty Scholarship

Science and technology increasingly work changes in the complex matrix of society. These changes pervade our ecological systems and our physical and psychic health. Less perceptibly, they pervade our culture, our values, and our value based institutions such as the law. In turn, our values and institutions shape the progress and utilization of science and technology.

As we know, science and technology have provided society with enormous material benefits and a higher standard of living and health. But we now realize that this process has been accompanied by alarming rates of resource consumption and many new hazards to ecological systems …