Science and Technology Law Commons^™

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, …

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 …

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 …

Copyright Eligibility For Ai Works Under United States Law, Roger V. Skalbeck

Law Faculty Publications

This article examines copyright eligibility for works that incorporate generative AI elements under United States law, explaining that such works may be protected only to the extent they contain human-authored expression.  This expression can appear as creative selection, arrangement, editing, or other expressive contributions, while unedited or autonomously generated AI output is not copyrightable. The article highlights how the U.S. Copyright Office’s registration and review system, through disclosure requirements, refusals, and public registration records, creates meaningful evidence about boundaries of copyright protection for AI-assisted works. The article contrasts this U.S. registration framework with other legal systems, including European jurisdictions such …

Regulating Robotaxis, Bryant Walker Smith, Matthew T. Wansley

Articles

In several sunbelt cities, commercial robotaxi service has arrived. The leading robotaxi company is providing over 400,000 trips per week. The industry claims that robotaxis will save lives and provide convenient and affordable mobility. Critics counter that they will increase congestion, undermine transit, and subject the public to ubiquitous surveillance. We argue that the social impact of robotaxis depends on how they are regulated. We emphasize two points missing from the debate. First, some of the benefits of robotaxis may be political rather than technological—some longstanding public policy goals may become viable in a robotaxi world. Second, letting one private …

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 …

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 …

Information Law Pluralism, Hannah Bloch-Wehba

Faculty Scholarship

Information-intensive activities are reshaping political, social, and economic institutions. As they respond to these shifts, legislators and regulators are embracing information as a regulatory device for tech. Far from limiting themselves to public disclosure, consumer notice, and other traditional mechanisms of fostering transparency and information flows, however, legislators are using other, more nuanced tools to incentivize regulated entities to obtain, generate, and share information.

This Article maps the landscape of the emerging information-based regimes for regulating tech and assesses their conceptual and practical implications. It canvasses an extensive set of recently enacted laws regulating the information economy and shows that, …

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 …

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 …

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 …

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

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, …

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 …

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 …

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 …

Seven County Infrastructure Coalition V. Eagle County, Craig A. Rigdon

Public Land & Resources Law Review

The National Environmental Policy Act of 1969 is a landmark in United States environmental law. For more than half a century, under its authority, all federal agencies contemplating proposed actions that pose significant environmental impacts have incorporated an analysis of those impacts into their decisions. These analyses provided an avenue for opponents to challenge an agency’s final decision in federal court. Earlier this year, the Supreme Court issued a “course correction” to rein in the disparate approaches that the lower courts had applied to cases challenging federal agency decisions on NEPA grounds. The unambiguous guidance the Court lays out for …