Science and Technology Law Commons^™

Law Librarianship And Legal Information Science In The Age Of Genai, Paul D. Callister

Faculty Works

This article examines the relationship between law librarianship and legal information science in the age of generative AI (GenAI), arguing that closer integration between the two is essential to navigating a rapidly evolving legal information landscape. It contends that law librarianship—long grounded in stable classification systems and cognitive authority—must adopt the analytical methods of legal information science to remain effective in the digital era. Together, these fields can reinforce the rule of law by improving the organization, retrieval, and stability of legal information. The article identifies emerging subfields of legal information science that support this integration and develops several concepts …

Reclaiming Constitutional Authority Of Algorithmic Power, Yiyang Mei, Michael J. Broyde

Faculty Articles

Whether and how to govern AI is no longer a question of technical regulation. It is a question of constitutional authority. Across jurisdictions, algorithmic systems now perform functions once reserved to public institutions: allocating welfare, determining legal status, mediating access to housing, employment, and healthcare. These are not merely administrative operations. They are acts of rule. Yet the dominant models of AI governance fail to confront this reality. The European approach centers on rights-based oversight, presenting its regulatory framework as a principled defense of human dignity. The American model relies on decentralized experimentation, treating fragmentation as a proxy for democratic …

Human Rights On Pause: Assessing The Cbp Digital Metering Process And Obligations Of Non-Refoulement Beyond Borders, Brandon Delia

Journal of Law, Technology, & the Internet

Migrants are once again being told to wait in line before seeking their right to the asylum process. In 2023, the Biden administration introduced the CBP One app as a new requirement for asylum seekers approaching the US-Mexico border. Not long after, it evolved into a strict legal prerequisite where without a CBP One appointment, migrants faced either immediate turnbacks or, if they nonetheless attempted to seek asylum defensively after entry, expedited removal and a potential five-year bar on reentry. Those who managed to register often waited months in cartel-controlled border towns, risking extortion, kidnapping, or worse. Paired with CBP’s …

Artificial Intelligence And Automated Decision-Making In Employment: The Future Of The Embattled Disparate Impact Theory Of Discrimination Under Title Vii, Daniel S. Alcorn

Journal of Law, Technology, & the Internet

Artificial intelligence now makes core employment decisions—from resume screening and video interviews to promotion and termination—yet Title VII’s disparate impact doctrine was built for paper tests, not black-box models. This Article argues that, while under attack by the Trump Administration and a minority of the U.S. Supreme Court, disparate impact remains indispensable but increasingly inadequate without adaptation. We show how algorithmic opacity frustrates causation, vendor delegation diffuses liability, predictive-accuracy claims distort “business necessity,” and trade-secret barriers impede proof of less-discriminatory alternatives. Drawing on emerging U.S. and comparative regimes, we propose a practical toolkit: (1) treat the algorithmic system as the …

A Law Enforcement Paradigm For The New Form Of Money, Jim Harper

Journal of Law, Technology, & the Internet

Over the last two centuries, transfers of money have evolved from movements of tangible things to digital communications events. Over the last half-century, financial surveillance law has taken root. The product of the two trends is a comprehensive, global financial surveillance regime that has substantial costs in both dollar terms and in values such as privacy, free speech, and autonomy. Those costs appear to vastly outstrip the benefits of such surveillance. Along with its infirmity as policy, general financial surveillance stands on shaky constitutional ground in the United States. It impedes the full development of digital forms of money and …

Artificial Elections: How Artificial Intelligence Can Affect Elections And Decide Our Future, Ryan D. Granger

Honors Undergraduate Theses

This thesis examines the growing role of artificial intelligence (AI) in democratic elections, highlighting both its transformative potential and its associated risks. Drawing on a qualitative analysis of existing literature, the study explores how AI is increasingly integrated into political campaigns, election administration, and voter engagement. Key benefits include enhanced data analysis, personalized political messaging, and improved efficiency in campaign operations. AI also supports real-time fact-checking and more accurate vote tabulation, which can strengthen transparency and trust in electoral processes. However, the thesis emphasizes that these advantages are accompanied by significant challenges. AI technologies enable the rapid creation and dissemination …

The Apathy Economy: Patents, Advertising, And Consumer Indifference, Gavin J. Milczarek-Desai, Derek E. Bambauer

Cardozo Arts & Entertainment Law Journal

Patents function as signals as well as rights to exclude. They inform competitors, investors, employees, and consumers about the invention and its owner. How this information affects consumers is not well understood. Existing studies disagree about how advertising a product or service as patented, or patent pending, affects the price consumers will pay. This Article offers the first major empirical study of that question andfinds that consumers behave with surprising rationality: they will not pay any price premium for a patented product. A product's patent status conveys little information about whether it is superior to competing offerings. The results hold …

Monitoring, Oversight, And Learning In Medical Ai, W. Nicholson Price Ii

Articles

When medical AI errs, it often goes unnoticed. If there’s a specific patient injury, and the link to AI is obvious, that problem might be reported to the Food and Drug Administration (FDA), but not always. And many other types of problems, like worse performance on specific groups or ineffective integration into health system workflows, simply don’t fall within the contours of regularized reporting. Even if they are noticed by the health system—far from a given—there’s no obvious way to share that information more broadly. Against this backdrop, there are justified calls for better oversight and reporting. But there’s the …

The Shifting Economics Of Influencer Sponsorship Disclosures, Uri Y. Hacohen

Cardozo Arts & Entertainment Law Journal

Conventional wisdom holds that disclosing influencer sponsorship diminishes advertising's effectiveness by triggering consumer skepticism. Responding to this perceived transparency gap, regulators have adopted mandatory disclosure regimes to address a perceived market failure: the divergence between private commercial incentives and the public interest in transparency. This Article challenges that assumption. Drawing on a large-scale social media experiment (N=600), it demonstrates that disclosures not only increase consumers' recognition of advertising but also improve their attitudes toward both influencers and brands, while significantly boosting their willingness to share promotional content. These empirical results are further supported by a comprehensive synthesis of the emerging …

Seeing Is Believing? Deepfakes In Financial Markets, Hadar Y. Jabotinsky, Michal Lavi

Cardozo Arts & Entertainment Law Journal

An AI-powered tool recently mimicked Warren Buffett's image and voice so convincingly that even his own family could have been deceived. This striking example highlights the transformative potential of voice cloning and deepfakes. This innovative technology leverages artificial intelligence (AI) to create hyper-realistic audio and video content. By blurring the boundaries between authenticity and synthetic creation, deepfakes make it possible to fabricate moments that never occurred. Recent advancements in AI and user-friendly software have made deepfakes more accessible andfurther contributed to the proliferation of deepfakes, enabling even individuals with minimal technical skills to produce compelling deepfakes at little to no …

Developer Perspectives On Licensing And Copyright Issues Arising From Generative Ai For Software Development, Trevor Stalnaker, Nathan Wintersgill, Oscar Chaparro, Laura A. Heymann, Massimiliano Di Penta, Daniel M. German, Denys Poshyvanyk

Faculty Publications

Despite the utility that Generative AI (GenAI) tools provide for tasks such as writing code, the use of these tools raises important legal questions and potential risks, particularly those associated with copyright law. As lawmakers and regulators respond to these questions, the views of users can offer relevant perspectives. In this article, we provide: (1) a survey of 574 developers on the licensing and copyright aspects of GenAI for coding, as well as follow-up interviews; (2) a snapshot of developers’ views at a time when GenAI and perceptions of it were rapidly evolving; and (3) an analysis of developers’ perspectives, …

Open Source Ai, Open Liability Ai, Bryan H. Choi

Publications

The release of open-source AI foundation models has been advertised as “good for the world.” But free public access comes with significant risks of harm. The tacit assumption has been that the “open source” label carries with it automatic immunity from legal liability. Accordingly, critics and skeptics of open-source AI have focused their attacks primarily on whether open-source AI properly qualifies as “open source.”

But the rule of liability for open-source AI should not depend on openness. This Essay explains that the notion of open-source exceptionalism draws upon a discredited theory of charitable immunity. Conventional tort law principles do not …

Never Cool Enough: Legal And Policy Challenges To Keeping Data Centers And Communities Empowered In A Warming World, Cristina M. Banahan, Diana B. Wilkinson

Lewis & Clark Law Review

In a rapidly evolving world, artificial intelligence (AI) and cryptocurrency are two technologies at the forefront of the future. Although these developments promise many potential societal benefits and revenue, they come with a price. The data processing required to operate these new technologies demands a large amount of energy, using water to cool the systems and enable them to run without overheating. With such high water and energy demands, the benefits from these technological advancements come at a steep environmental cost. Despite the negative environmental impacts of these data centers, the Trump Administration continues to roll back environmental protections. The …

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

Faculty Journal Articles and Book Chapters

Is crypto property? The proliferation of digital assets such as cryptocurrencies, stablecoins, meme coins, and non-fungible tokens (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 …

Rebooting Administrative Enforcement For The Information Economy, Nina-Simone Edwards

Library Scholarship

This concept paper considers how to strengthen the enforcement of public mandates to deter harmful practices and business models. The paper offers principles for reinvigorated enforcement such as enhanced visibility, the increased use of design as a remedial lever, and personal responsibility for responsible individuals, not only the corporations that employ them.

To advance these principles, we call for new or amended laws that require companies to document how policy becomes code, grant agencies authority to order design changes to products and services, create pathways for charging responsible individuals, and cabin some forms of prosecutorial discretion. We would support these …

Legitimacy And Accountability In The Information-Era Administrative State, Nina-Simone Edwards

Library Scholarship

The current assault on administrative institutions and the rapid influx of automated “solutions” have exacerbated the problems of a system that was already buckling under the strains of functional opacity, technical opacity, unequal access and influence, process proliferation and paralysis, and inaction. An overarching reason for the legitimacy and accountability challenges confronting the administrative state is a paradigm for administrative legitimacy and accountability that is court-centered and no longer fit for purpose.

In this concept paper, we describe two core requirements of legitimacy and accountability–which, as we will explain, are interdependent concepts–and then articulate three component requirements–transparency and demystification, care …

From Privacy To The Data Economy: The Ftc’S Reframing Of Its Regulatory Priorities, Maria P. Angel

Scholarly Works

This Article argues that the Federal Trade Commission’s turn to “commercial surveillance” reflects a strategic shift away from traditional privacy frameworks toward addressing structural power dynamics in the data economy. Drawing on an analysis of 112 FTC documents, it identifies three core commitments: tackling systemic harms, adopting a political economy lens, and constraining corporate power. The Article contends that this reframing is both necessary in the AI age and should influence the future of privacy regulation in the United States, even amid efforts to limit the FTC’s authority.

Corporate Cybersecurity Governance: Director Liability Under Europe’S Nis2 Directive And The Emerging Fiduciary Duty Of Proactive Cybersecurity Oversight, Stacey B. Barrack

American University Business Law Review

This Comment examines the implications of the European Union’s Network and Information Security 2 Directive (“NIS2”) on corporate cybersecurity governance, with a particular focus on the fiduciary duties of directors in multinational corporations operating in the United States. The NIS2 Directive, adopted in 2023 and currently being transposed into national law by EU member states, mandates that boards of directors must directly approve and oversee—and can be liable for—the cybersecurity risk management measures taken by their companies. 

This Comment delves into the intersection of NIS2 with Delaware corporate law and examines how NIS2 influences the fiduciary duty of oversight for …

Blame It On The Algorithm (But Sue Them Both): Joint Enterprise And Agency In Ai-Driven Hiring Discrimination, Khushi Palan

American University Business Law Review

The proliferation of artificial intelligence (AI) in hiring processes has created a significant accountability gap in employment discrimination law. While federal statutes like Title VII of the Civil Rights Act, the Americans with Disabilities Act, and the Age Discrimination in Employment Act focus on finding liability for traditional employers, they fail to adequately address the unique role of third-party AI vendors whose algorithms often drive discriminatory outcomes. This Comment examines the emerging legal landscape through the lens of Mobley v. Workday, where the District Court for the Northern District of California recognized that AI vendors can function as “agents” of …

Richmond Electronic Monitoring: The City Sees You While You're Sleeping, Fakira D. Johnson

Law Student Publications

The United States has increasingly recognized its reputation as a prison state, with widespread acknowledgment of its high incarceration rates. As of 2021, the United States imprisoned one out of every five prisoners in the world. Additionally, of its own population, the United States imprisoned one out of every one hundred people.

In response to this notoriety, worsening prison overcrowding, and the heightened risks posed by the COVID-19 pandemic, all fifty states, the District of Columbia, and the federal government increased their utilization of alternative measures to traditional incarceration. As both an addition and an alternative to traditional incarceration, criminal …

Forget Me Not? Machine Unlearning’S Implications For Privacy Law, Jevan Hutson, Cedric Whitney, Jay T. Conrad

Articles

Generative AI systems are increasingly relied on and are already actively reshaping how we think about privacy and data protection law. Models ingest and process vast amounts of personal and sensitive data, challenging assurances of compliance with legal frameworks like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) with increasing intensity. Machine unlearning is an emerging tool in practitioners’ attempts to address these challenges: the act of selectively removing or suppressing specific data, such as personal data that a data subject requests be deleted, from AI models as means of complying with legal obligations or …

In Its Right Mind - Governance Of Social Superintelligence, David Filippi, Bill Tomlinson, Andrew W. Torrance

FIU Law Review

This Comment argues that a broad presumption of public access to court  documents is essential to preserving the legitimacy and constitutional values  of the American legal system. Although the principle of public access is  rooted in common law and constitutional tradition, individual states differ in  how they approach transparency in the context of court documents. These  jurisdictional inconsistencies continue to gain significance, as the digital age  has completely transformed the way people consume information. The  increasing digitization of court records has heightened the need for consistent  and constitutionally grounded standards that preserve transparency while  adequately protecting legitimate privacy interests. Florida’s …

The Lawyer Of The Future: Ethics And Identity In The Age Of Ai, David Yosifon, Michael Santoro, Isaac Nikssarian

American University Law Review

The dawn of artificial intelligence (AI) poses a fundamental challenge to the legal profession’s practical function and social identity. We argue that this challenge should be met as an opportunity to reclaim the profession’s core ethical intentions. We approach the emergence of AI as an occasion to define and safeguard what is irreducibly human in legal work. We ground our approach in the ethical imperatives set out in the American Bar Association’s Model Rules of Professional Conduct, while extending them into an invigorated framework for the AI era.

We survey the uses and ethical challenges associated with cutting-edge deployment of …

By Design, Roger Allan Ford

American University Law Review

In recent years, scholars and policymakers have increasingly embraced regulation “by design” to address new problems, especially those caused by new technologies. These approaches go by various names, like privacy by design, security by design, even the rule of law by design. Despite the popularity of these approaches, though, describing what goes into regulation “by design” is surprisingly challenging. Different speakers use the term in strikingly different ways, with little consensus about why design is important, how design and new technologies interact, or how design can be harnessed to deliver policy results.

Design exists along multiple dimensions: process versus result, …

Quantum Ai And The Future Of Corporate Law, Michael R. Siebecker

Cardozo Law Review

As quantum computing and AI surge toward mainstream adoption, how corporate directors satisfy their duties of care and oversight requires some fiduciary recalibration. The current fiduciary framework that allows directors to escape liability absent “gross negligence” or “utter failure” in oversight may no longer be defensible in a world where advanced analytics offer unprecedented capacity to model, monitor, and foresee significant corporate risks. Behavioral economics makes clear that humans (including corporate managers) remain vulnerable to a variety of biases and heuristics shortcuts in decision making. Technological evolution provides the means to correct such cognitive distortions if boards take an active …

Data Rights For Workers, Pauline Kim, Rachel Leavitt

Scholarship@WashULaw

Workers are subject to immense amounts of data collection on the job, and the algorithmic management tools built with that data can produce negative effects, including deskilling jobs, unstable work hours, reduced wages, and dangerous and degrading working conditions. Workers thus have significant interests how their data are collected and used, and yet they have been excluded from nearly all the recently enacted or proposed data protection laws. Their exclusion stems from data protection’s roots in privacy law and theory, which primarily focused on consumers as data subjects. Current data protection laws, even if expanded to cover workers, would provide …

Space Enterprises As International Lawmakers: Nudges, Pledges, And Other Bottom-Up Modalities, Melissa (M.J.) Durkee

Scholarship@WashULaw

Private entities are influencing the development of international space law. Space enterprises need regulatory certainty and consistent standards to attract capital and develop their plans for space. Yet, states have lagged in their capacity to make multilateral international space law in traditional public fora. Private entities have responded to this legal lag by attempting to create, develop, and nudge international space law in commerce-friendly ways. This chapter surveys a variety of modalities by which commercial actors can affect the development of international law, offers several examples of how commercial lawmaking efforts

The Law And Ai As An “Apex Collaborator”: Legal Frameworks For Optimized Cooperation, David S. Filippi, Bill Tomlinson, Andrew W. Torrance

FIU Law Review

Law fundamentally exists to enable human cooperation, providing frameworks for everything from basic contracts to complex international agreements. As artificial intelligence systems grow more sophisticated, they may enable new ways that collaborative activity can occur. We posit the possibility of a new kind of AI entity: the “Apex Collaborator,” a computational system with capabilities for cooperation and partnership that are superior, in at least some ways, to those of humans. Just as apex predators shape the ecosystems in which they live through predation, Apex Collaborators would shape human-AI networks through their ability to enhance peaceful coexistence, collective problem-solving, and shared …

Large Language Scholarship, Alan Rozenshtein, Kevin Frazier

FIU Law Review

Generative AI isn’t just coming for the legal academy—the era of what we call “Large Language Scholarship” is already here. Law professors are using AI to write articles in weeks rather than months. Law reviews face an unprecedented deluge of AI-polished submissions. And the judges who increasingly lean on AI to help draft their own opinions will soon struggle to distinguish genuine insight from sophisticated imitation. Yet, existing scholarship offers only fragmented responses, trapped in misguided debates about plagiarism and disclosure while missing the full scope of the unfolding transformation.

This Article provides the first comprehensive analysis of how generative …

Digital Dialectic: Why Every “Ai-Generated” Work Has A Human Author, Lea Bishop

FIU Law Review

Are ChatGPT and Midjourney tools or creators? Ownership of billions of AI-assisted creative outputs hangs in the balance. Copyright scholars have long debated whether an autonomous artificial intelligence could qualify as an author, but this remains a hypothetical question. Despite widespread application of the term “AI” to software products of the 2020s, autonomously creative artificial intelligence still does not exist. Today’s commercial AI products—such as ChatGPT, Midjourney, Dall-E, Copilot, Gemini, Claude, Suno, Perplexity, and Lumo—are simply the newest generation of computer software. They do not qualify as “artificial intelligence” in either the scientific or science fiction senses. They are mere …