Science and Technology Law Commons^™

Police Surveillance And The Perils Of Techno-Solutionism, Prithika Balakrishnan

Faculty Scholarship

This Article charts domestic law enforcement’s use of video surveillance, beginning in the backlash to the Civil Rights movement in the late 1960s, continuing through the War on Terror and, more recently, in the context of the post-George Floyd public critiques of policing. The undergirding philosophy of policing’s embrace of surveillance technology is techno-solutionism, the view that all complex social situations can be simplified to measurable data primed for quick-fix, unbiased, algorithmic answers. While technology may have initially been adopted by police to respond to specific problems, it has changed the problems themselves, altered the array of potential solutions, and …

Think Twice Before You Sign! An Experiment On A Cautionary Function Of Contractual Formalities, Monika Leszczynska

Faculty Scholarship

Contractual formalities, such as handwritten signatures, have long been viewed as serving a cautionary function that protects individuals from entering ill-considered agreements. With the rise of digital contracting, it is uncertain whether online forms of assent can play the same role. In an incentivized laboratory experiment, four modes of contract confirmation were compared: clicking “OK,” typing one’s name, entering a PIN code (analogous to a qualified e-signature), and handwritten signing. The study examined how these methods affect choices between smaller–sooner and larger–later rewards. Results show that participants were more impulsive when confirming by clicking “OK” or typing their name than …

Ai Slop, Jessica Silbey, Woodrow Hartzog

Faculty Scholarship

The term “AI slop” has become popular to describe the output of generative AI systems seen as voluminous, low quality, or the result of little effort. When AI-generated music and videos flood platforms, they are called slop. Peer-reviewed journals and legal tribunals are drowning in low-quality and low-reliability AI slop submissions.  Employees are seen to be producing mountains of slop in their reports and communications with each other. The term has inertia and heft, and the phenomenon has significant consequences. Most of them are not good.

But the boundaries of “AI slop” and its usefulness in policy discussions are not …

Ai Privilege And The Legal Services Crisis, Andrea Roth, Rebecca Wexler

Faculty Scholarship

Recently, San Francisco public defenders were so overburdened that they risked jail for contempt rather than take on more cases. Wyoming and New Mexico public defenders have done the same, while other states have been sued for underfunded, ineffective public defender systems. Meanwhile, some people accused of low-level crimes have no lawyer whatsoever, making critical decisions about pleading guilty or trial strategies on their own, and being subject to pretrial detention, significant fines, and collateral consequences like deportation and sex offender registration. Even outside the criminal system, low-income people face evictions, family separations, deportations, and more with inadequate legal assistance. …

Lessons Learned For The Independent Panel For Evidence For Action Against Amr From Previous International Science Panels: Stakeholder Views From The 2025 Lagos Workshop, Iruka N. Okeke, Anthony Mcdonnell, Ayodele A. Akinyele, Javier Guzman, Kevin Outterson

Faculty Scholarship

In September, 2024, the UN General Assembly assigned the Quadripartite Joint Secretariat on Antimicrobial Resistance (AMR) the task of establishing an Independent Panel for Evidence for Action against AMR (IPEA). To promote stakeholder views and input around the constitution and functioning of this Panel, which could feed into the Quadripartite Joint Secretariat’s consultation process, we independently commissioned seven papers to examine the lessons that could be learned from other high-level scientific panels. We then convened 85 stakeholders, primed with the background papers. The Workshop, held in Lagos, Nigeria in April, 2025, drew representation from around the world, particularly low-income or …

Who’S The Lawyer Now? Professional Identity In A Genai World, Aric K. Short

Faculty Scholarship

This article examines how generative artificial intelligence (GenAI) is reshaping the legal profession and, more fundamentally, lawyers’ professional identities. As AI systems increasingly perform tasks traditionally associated with legal practice, the article argues that technological competence and adaptability have become essential components of professional identity formation. It contends that lawyers must move beyond viewing AI as merely a tool for efficiency and instead confront the ways in which it is transforming expectations of competence, professional responsibility, and legal expertise.

The article further explores what may remain uniquely human in legal practice as AI capabilities expand. It argues that practical wisdom, …

There Is No Free Benchmark: An Institutional View Of Legal Ai Benchmarking, Neel Guha, Andy K. Zhang, Christine Tsang, Christopher D. Manning, Julian Nyarko, Daniel E. Ho

Faculty Scholarship

Despite substantial excitement around the use of AI in law, little information exists on the performance and associated risks of the domain’s widely marketed tools. Recent work, for instance, has demonstrated the significant potential for “hallucinations” — wherein models make up facts, law, and precedent — leading Chief Justice Roberts to spotlight this risk in his annual report on the judiciary. We argue that there is a need for public AI benchmarking in law. First, relative to other AI application domains, the legal AI ecosystem lacks legibility — there is little information about the design and performance of many commercial …

Ai Suppression: E-Discovery Software And Brady, Jason Hartline, Liren Shan, Alec Sun, Rebecca Wexler

Faculty Scholarship

Prosecutors regularly rely on AI e-discovery software, known as technology assisted review (TAR) tools, to sort and prioritize digital evidence. These tools implicate constitutional concerns: they can either risk suppressing or help to surface exculpatory and impeachment evidence that prosecutors must disclose under the Brady due process rule. Yet doctrine, agency guidance, and scholarship offer virtually no direction on their use.

This Article examines how TAR affects Brady compliance. Using computer science simulations on synthetic data sets, we show that TAR can either hide or help to expose Brady evidence, depending on how it is configured and the configurations of …

The Impact Of Ai Companions On Family Law, Clare Huntington

Faculty Scholarship

People of all ages and backgrounds regularly use AI companions — virtual friends, lovers, and confidantes powered by artificial intelligence. As a new form of relationship, this development poses novel doctrinal and policy questions for family law. As a doctrinal matter, what does child neglect look like when a parent delegates caretaking to an AI companion? How should standards for elder neglect adapt to the widespread use of robotic caregivers? Should lawmakers impose mandatory reporting requirements on therapy bots if children share experiences of abuse or neglect? And can people designate an AI companion as a health care proxy? As …

How Ai Destroys Institutions, Woodrow Hartzog, Jessica Silbey

Faculty Scholarship

Civic institutions—the rule of law, universities, and a free press—are the backbone of democratic life. They are the mechanisms through which complex societies encourage cooperation and stability, while also adapting to changing circumstances. The real superpower of institutions is their ability to evolve and adapt within a hierarchy of authority and a framework for roles and rules, while maintaining legitimacy for the knowledge produced and the actions taken. Purpose-driven institutions built around transparency, cooperation, and accountability empower individuals to take intellectual risks and challenge the status quo. This happens through the machinations of interpersonal relationships within those institutions, which broaden …

Metrics Not Thresholds: How To Regulate Ai And Other Expert Methods For Use In Criminal Investigations And Proceedings, Rebecca Wexler

Faculty Scholarship

Should regulators set performance thresholds for AI tools used in the criminal legal system? This Article draws on U.S. evidence law for guidance. Its answer is ... don’t. Instead of gatekeeping with ex ante performance thresholds, regulators should require or incentivize metrics of reliability that can be clearly communicated to end-user decisionmakers.

Tear Down The Wall: Why Requiring The Fda And The Pto To Share Information Will Improve The Decision-Making Of Both Agencies, Robin C. Feldman, Gideon Schor

Faculty Scholarship

An invisible wall separates the U.S. Food and Drug Administration (FDA) from the U.S. Patent and Trademark Office (PTO). This wall blocks inter-agency communication, depriving the PTO of information relevant to patent applications and depriving the FDA of information relevant to drug-approval applications. Consequently, it is too easy for a drug company to tell the PTO ‘our drug is new’ (in hopes of speeding a patent grant) while telling the FDA ‘our drug is not new’ (in hopes of speeding drug approval). Better communication between the FDA and PTO would increase agency accuracy by preventing inconsistent representations, and would increase …

Tokenized Real Estate: The Law And Tech Of Digital Deeds, Christopher K. Odinet, Andrea Tosato

Faculty Scholarship

The advent of blockchain technology has generated bold claims that non-fungible tokens (NFTs) can fundamentally transform real estate. Proponents assert that digital assets can tokenize real property interests: the concept of using digital tokens to represent ownership rights in physical property. Their goal is to allow buyers and sellers to transfer real estate through simple blockchain transactions, thereby eliminating traditional intermediaries, reducing costs, and accelerating deal velocity. This Essay provides the first comprehensive legal analysis examining whether American law actually supports such a direct tokenization of real estate rights.

Our investigation reveals a stark disconnect between technological capability and legal …

Grading Machines: Can Ai Exam-Grading Replace Law Professors?, Kevin L. Cope, Jen Frankenreiter, Scott Hirst, Eric A. Posner, Daniel Schwarcz, Dane Thorley

Faculty Scholarship

In the past few years, large language models (LLMs) have achieved significant technical advances, such that legal-advocacy organizations are increasingly adopting them as complements to—or substitutes for—lawyers and other human experts. Several studies have examined LLMs' performance in taking law school exams, finding mixed results. Yet there have been no published studies systematically analyzing LLMs' competence at one of law professors' chief responsibilities: grading law school exams. This paper presents results of an analysis of how LLMs perform in evaluating student responses to legal analysis questions of the kind typically administered in law school exams. The underlying data come from …

On Predicting And Stopping Dystopia, Evan Selinger, Woodrow Hartzog

Faculty Scholarship

Is it reasonable to be dystopian about how the future will likely unfold? We think so. For some time, we have been arguing that facial recognition technology is a perfect tool of oppression, and that its pernicious affordances are leading society down a slippery slope toward the evisceration of privacy by obscurity. This is a soft form of “determinism”—the notion that while technology is not an unstoppable force and the future is not preordained, there nevertheless are identifiable factors, such as the invitingness of affordances, human nature, and incentives that drive technology in certain directions and make some social outcomes …

The Business Of Ai-Producing Startups: Evidence From A Worldwide Survey, James Bessen, Stephen Michael Impink, Robert Seamans

Faculty Scholarship

We report results from a multi-year, worldwide survey of artificial intelligence (AI)-producing startups to describe the types of technologies, frameworks, data protection, and partnerships nascent firms use to develop their AI products. Analyses of our survey findings also inform how startups gather the resources to commercialize their AI applications in alignment with their entrepreneurial strategies, address competitive barriers, and respond to regulations. These data provide initial evidence of the perceived impact of these products on their customers’ tasks and industries, suggesting that these firms’ AI products not only reduce labor costs but augment human capabilities.

Bankrupt Crypto Organizations, Kara Bruce, Christopher K. Odinet, Andrea Tosato

Faculty Scholarship

This Article provides the first comprehensive analysis of the intersection between decentralized autonomous organizations (DAOs) and American bankruptcy law. DAOs are blockchain-based entities that enable individuals to pursue common goals using decentralized decision-making and automated governance. Since their recent emergence, DAOs have proliferated dramatically—with over 20,000 organizations managing over $20 billion in assets and engaging in activities ranging from investment management to real estate and even attempting to purchase historic copies of the U.S. Constitution. Yet like any other organization, DAOs can fail, creating an urgent need to understand what happens when unstoppable code meets immovable bankruptcy law.

Our investigation …

Transforming Blood Management Systems In Developing Countries Through Technological And Artificial Intelligence-Driven Innovations, Sandeep Bhargava, Shaun Aaron Abram, Srividhya Ragavan

Faculty Scholarship

It is critical to ensure the safe and quality supply of blood among various stakeholders; however, this remains a significant challenge in today’s world, especially in developing countries. These countries face severe problems, including blood shortages, fragmented regulatory frameworks, and inconsistent quality control measures. To tackle these challenges, countries like India are trying to implement the use of artificial intelligence (AI) and its derivative platforms to transform blood collection, testing, storage, and distribution by enabling interoperability, real-time compliance monitoring, automated donor screening, optimized inventory management, and advanced component separation. The article argues that developing countries must adopt both regulatory reform …

Unlocking The Benefits Of Transparent And Reusable Science For Climate Risk Management, Adam B. Pollack, Lisa Auermuller, Casey D. Burleyson, Jentry Campbell, Madison Condon, Courtney Cooper, Matteo Coronese, Sönke Dangendorf, James Doss-Gollin, Prabhat Hegde, Casey Helgeson, Robert E. Kopp, Jan Kwakkel, Corey Lesk, Justin Mankin, Robert E. Nicholas, Jennie Rice, Samantha Roth, Vivek Srikrishnan, Moira Scheeler, Nancy Tuana, Chris Vernon, Mengqi Zhao, Klaus Keller

Faculty Scholarship

People around the world seek climate risk information to guide their decisions. For instance, projections about future flood risk inform where households choose to live, how lenders manage credit risks, and which communities receive federal funding. Yet data limitations and fundamental validation challenges raise important concerns about the reliability of such projections. The principles of transparency and reusability help address these concerns by enabling scrutiny of assumptions and methods, development of foundational data and tools, and consistent application of evaluation standards. While there is ongoing debate about how much transparency commercial climate risk services should provide, many expect noncommercial actors …

Open Secrets, Robin C. Feldman, Vaughn Goehrig

Faculty Scholarship

Patents and trade secrets were never intended to meet, but in the world of biologic drugs, they've become as thick as thieves. Patent law's disclosure requirement has demanded far too little of biologics manufacturers-allowing them to keep vital manufacturing details under trade secret lock and key. This intellectual property patchwork has been devastating for drug affordability: Because the most critical manufacturing information remains hidden, makers of follow-on biologics (called biosimilars) are often stuck reinventing the wheel, even after the original patents have expired.

This Article makes two principal contributions to illuminating this problem. First, it presents, for the first time …

Privacy’S Autonomy Thicket: Disentangling Choice, Consent And Control, Jordan Francis, Woodrow Hartzog, Neil Richards

Faculty Scholarship

When it comes to talking about autonomy, privacy law could use a little clarity. Its discourse uses terms like “choice,” “consent,” and “control” to evoke autonomy, but these terms are too rarely defined and too often used interchangeably, even though they can mean very different things. The three terms have become entangled in a way that has become confusing and counterproductive. We call this problem “privacy’s autonomy thicket,” and it matters because it encourages talking past each other in policy debates, enabling the redefinition of these terms in misleading ways that produce weak and disempowering “notice and choice” regimes.

In …

Digital Assets And The Property Question, Andrea Tosato, Christopher K. Odinet

Faculty Scholarship

Is crypto property? The proliferation of digital assets such as cryptocurrencies, stablecoins, memecoins, and NFTs has confronted legal systems worldwide with three interdependent challenges: determining whether they are property, identifying their appropriate classification within property taxonomies, and establishing rules for their circulation in commerce. Our Article addresses this tripartite question—the Property Question—within American law.

The stakes here are significant. Billions of dollars in digital assets are traded daily, used as collateral, and held by custodial platforms. Yet all these transactions rest on an unresolved premise: that digital assets can be owned and are governed by established property rules. This fundamental …

Uncorrected, Janet Freilich, W. Nicholson Price Ii

Faculty Scholarship

In addition to making rules and deciding outcomes, the legal system generates, curates and shares information. When the system gets rules and outcomes wrong, it is obviously a problem, and much effort (and scholarly attention) goes into identifying those mistakes and fixing them. But the system also gets information wrong; a problem mostly overlooked by policymakers and scholars. Those information mistakes matter too: they are prevalent and harmful. We show here that even when the mistakes are widely known and the errors broadly acknowledged, the information very often goes uncorrected. As a result, people make decisions based on bad information …

Beyond Digital Pessimism: How A Focus On Trust Can Enhance Eu Digital Law, Neil Richards, Woodrow Hartzog, Claire Boine, Lea Despotis

Faculty Scholarship

Lawmakers looking to foster technological innovation on the European market are adopting laws they hope will promote consumer trust in digital products. Their strategy can be broken down into three components. First, they aim to empower consumers to choose how much data they want to share with companies through an express consent framework. Second, they seek to avoid harms from digital products through product safety law such as adapting the Product Safety Regulation to digital products or adopting the AI Act. Third, they endeavor to prevent manipulation of consumers through digital means.

In this essay, we argue that while laudable, …

Taking Scale Seriously In Technology Law, Mark P. Mckenna, Woodrow Hartzog

Faculty Scholarship

Issues of scale—the relationship between the amount of an activity and its associated costs and benefits—permeate discussions around law and technologies. Indeed, it’s not much of an exaggeration to say that scale is the reason for most technology regulation.

But it’s not always clear how lawmakers and judges conceptualize “scale” when approaching questions around automated technologies. Scale is often used intuitively, just to mean “more.” But scale is not always just about more—scale can introduce new harms and benefits along different dimensions, not simply costs or efficiencies of greater magnitude.

In this Article, we argue for a more sustained interrogation …

Against Ai Half Measures, Woodrow Hartzog, Neil Richards, Ryan Durrie, Jordan Francis

Faculty Scholarship

So far, U.S. consumer protection policy for artificial intelligence (AI) accountability has largely consisted of industry-led approaches such as encouraging transparency, mitigating bias, promoting principles of ethics, and empowering people. These approaches are vital, but they are only half measures. To bring AI within the rule of law, lawmakers must start drawing substantive lines.

In this Article, we identify four AI regulatory approaches to consumer, data, and democratic harms as half measures. First, transparency does not produce accountability on its own. Second, while mitigating bias in AI systems is critical, even unbiased systems are a threat to the vulnerable. Third, …

Obscurity And The Fallacy Of No Privacy In Public Information, Woodrow Hartzog

Faculty Scholarship

The main thesis of this chapter is that because there are so many different possible interpretations of ‘public information’, the concept cannot be used to justify data practices and surveillance without first articulating a more precise meaning that recognises what is at stake. By disposing of the myth that there is an objective and dispassionate concept of public information, judges and lawmakers can clear the way for information rules based on overt value choices. In short, if the concept of ‘public’ is going to shape people’s social and legal obligations, its meaning and neutrality should not be assumed.

My argument …

Exploit Machina, Andrea Matwyshyn

Faculty Scholarship

Over half a century ago, Hannah Arendt cautioned us to “think what we are doing” when we build new technologies. Engaging with her counsel and a set of historical case studies, this Article frames what it calls exploit machina problems. Exploit machina refers to situations where broken technologies and broken governance combine to irreparably harm the public. In other words, exploit machina involves organizational choices to knowingly leverage technology as part of legally problematic conduct, including various forms of fraud. In the language of data science, exploit machina situations implicate strategic decisions in building and managing artificial intelligence (AI); they …

Ai And Courts: An International Human Rights Perspective, Veronika Fikfak, Laurence R. Helfer

Faculty Scholarship

International human rights courts and treaty bodies are increasingly turning to automated decision-making (ADM) technologies to expedite and improve their review of individual complaints. These tribunals have yet to consider many of the legal, normative, and practical issues raised by the use of different types of automation technologies for these purposes. This chapter offers an initial assessment of the benefits and challenges of introducing ADM into international human rights adjudication. We weigh up the benefits of introducing these tools to improve international human rights adjudication – which include greater speed and efficiency in processing and sorting cases, identifying patterns in …

Equal Justice & Generative Ai, Milan R. Markovic

Faculty Scholarship

The United States has long suffered from unequal access to justice, with countless low-and middle-income Americans forced to navigate the legal system alone. Recently, prominent judges, lawyers, and scholars have seized on generative AI as a potential corrective. These techno-optimists maintain that ChatGPT and other large language models can demystify the law and address unmet legal needs. Chief Justice John Roberts has proclaimed that AI-based tools "have the welcome potential to smooth out any mismatch between available resources and urgent needs in our court system."

Although AI will be an increasingly important source of legal assistance for underserved populations, the …