Computer Law Commons^™

Ai Ethics, Law, And Policy, Pauline Kim, Ryan Durrie

Scholarship@WashULaw

AI technologies promise many benefits, but they can also have significant negative impacts on human health, safety, well-being, and fundamental rights. This chapter explores the different governance tools that have been considered for guiding developments in AI in socially beneficial ways, examining the relevance of ethics, law, and policy. Each of these approaches offer tools to address these concerns; however, each has limitations, and none provides a complete solution in itself. Statements of ethical principles can articulate high-level values and goals to guide behavior but are usually quite vague and difficult to operationalize. They also lack any enforcement mechanism. In …

Inventions Without Inventors: The Need To Recognize Ai Systems As Inventors, Niloufer Selvadurai

Journal of Law, Technology, & the Internet

As AI systems increasingly generate innovative products and processes, a critical issue to address is the nature and extent of the patent protection that is conferred upon such outputs. The overarching objective of patent law is the support of innovation and progress. In determining applications, the clear focus of patent judgments is whether the claimed invention satisfies the required standards of inventiveness, novelty, and non-obviousness. It is hence curious that incidental references to “individuals” and “persons,” variously scattered through patent statutes, operate to deny recognition of AI inventors. This is the result of the global test litigation instigated by Dr. …

Unveiling The Environmental Impact Of Large Language Models On Indigenous Communities: A Call For Action And Liability, Nina-Simone Edwards

Library Scholarship

Large Language Models (LLMs) have rapidly gained popularity for their language generation and comprehension capabilities, promising increased efficiency in various sectors. However, while celebrated for their transformative potential, LLMs exacerbate current climate issues. This Article highlights the detrimental environmental footprint of LLMs, with a focus on their role in escalating climate change and their disproportionate effects on Indigenous communities. These communities, closely tied to their land, bear the brunt of environmental degradation, further aggravated by LLM-induced emissions.

This Article first dissects the interplay between environmental justice and technological innovation, advocating for a reevaluation of the trust relationship between tribal nations …

Law-Following Ai: Designing Ai Agents To Obey Human Laws, Cullen O'Keefe, Ketan Ramakrishnan, Janna Tay, Christoph Winter

Fordham Law Review

Artificial intelligence (AI) companies are working to develop a new type of actor: “AI agents,” which we define as AI systems that can perform computer-based tasks as competently as human experts. Expert-level AI agents will likely create enormous economic value but also pose significant risks. Humans use computers to commit crimes, torts, and other violations of the law. As AI agents progress, therefore, they will be increasingly capable of performing actions that would be illegal if performed by humans. Such lawless AI agents could pose a severe risk to human life, liberty, and the rule of law.

Designing public policy …

Volume 48 Masthead, Seattle University Law Review

Seattle University Law Review

Volume 48 Masthead

Voting Matters: Materiality Considerations And The Shareholder Vote, Renee M. Jones

Seattle University Law Review

For the shareholder franchise to have meaning, shareholders must have access to relevant information to inform their voting decisions. The securities laws’ disclosure requirements play an essential role in informing the shareholder vote.

This Essay focuses on the question of the materiality of information in the context of shareholder voting. It addresses the question of whether ESG-related information is material, positioning the materiality inquiry within the context of shareholders’ voting decisions. It explores the definition of materiality with a focus on the “reasonable investor” concept embedded within the definition. The Essay argues that the implicit expectations of many commentators that …

Volume 48 Masthead, Seattle University Law Review

Seattle University Law Review

Volume 48 Masthead

Understanding The Big Three’S Wavering Support Of Environmental And Social Shareholder Proposals, Jeff Schwartz, Jefferson Jensen

Seattle University Law Review

Because of their substantial equity portfolios, BlackRock, Vanguard, and State Street (the Big 3) are central players in corporate governance. It is, therefore, critical to understand how they vote. One puzzle is that their support for shareholder proposals on environmental and social matters appears to waiver. In 2020, for instance, BlackRock supported 11.1% of environmental proposals at S&P 500 firms. In 2021, it seemingly reversed course, supporting 55.2%. It then flipped again, supporting 32.1% in 2022. Such statistics suggest that the Big 3 are constantly changing their views on these topics. This Article seeks to better understand whether this is …

Volume 48 Masthead, Seattle University Law Review

Seattle University Law Review

Volume 48 Masthead

Copyright Doctrine Before The Tribunal Of Science: A Response To Professor Silbey, Mateusz Blaszczyk

Scholarly Works

In an important new Article, titled A Matter of Facts: The Evolution of the Copyright Fact-Exclusion and Its Implications for Disinformation and Democracy, Professor Jessica Silbey argues provocatively that we “‘only” know that facts are excluded from copyright protection because Feist Publications v. Rural Telephone Service “says so.” She argues that both the nature and importance of facts has been underdefined and is in flux, nonetheless tracing it to the foundational cases of United States (U.S.) copyright law, and argues for a stronger exclusion of facts, which are publici juris, and belong in the public domain. This central …

The Sky’S Not The Limit: Navigating Starlink’S Impact On Global Connectivity And Regulation, Michael N. Hillebrand

SMU Science and Technology Law Review

This case note examines the governance implications arising from the onset of accelerated satellite internet expansion and explores potential regulatory solutions for effective governmental oversight. Due to the interconnected nature of the internet and its global network, international organizations and treaties play a crucial role in content and data regulation, and rapid technological evolution presents increasing difficulties for these regulatory frameworks to keep pace. These challenges are particularly evident in satellite-based broadband internet services, with SpaceX’s Starlink emerging as the most prominent and currently relevant service in this domain. Proponents of this technology emphasize its ability to provide internet access …

The Software Inducement Paradox, Dylan Niederland

American University Law Review

Induced patent infringement allows a third party to be held liable for another’s direct infringement of a patent. For many years, inducement liability has been a hotly contested doctrine of patent law, specifically its applications in the pharmaceutical industry. Not unsurprisingly, vast literature exists covering the intersection of inducement liability and pharmaceuticals.

This Note takes a new approach, analyzing inducement liability as it relates to the software industry. Specifically, this Note criticizes the Federal Circuit’s holding in GlaxoSmithKline LLC v. Teva Pharmaceuticals USA, Inc. that a simple statement of equivalence is sufficient to induce users to infringe method-of-use patents that …

Confronting The Challenges Of Regulating Artificial Intelligence, Amy B. Cyphert

FIU Law Review

Public opinion polls conclude that the American public is in favor of regulating artificial intelligence (“AI”), and many technology companies publicly claim that they would welcome regulation. And yet the United States has struggled to enact federal comprehensive AI regulations beyond a short-lived Executive Order. Why? Part I of this Article explains why regulating AI is so difficult, focusing on six key reasons: AI is a global issue; AI is not one discrete issue; AI is developing at a speed that is unprecedented; lawmakers largely lack the technical expertise effective AI regulation requires; the stakes of getting the regulation wrong …

Agents In A Tangled Bank: An Ecosystem Approach To Ai Regulation, Andrew W. Torrance, Bill Tomlinson

FIU Law Review

As autonomous artificial intelligence agents ("Agents") become increasingly prevalent in society, legal frameworks must evolve to govern their behavior effectively. This article argues that autonomous AI agents must be understood as operating within complex ecosystems of other agents, humans, institutions, and actual biological ecosystems-similar to how biological organisms exist within broader ecosystems. Drawing on established research in multi-agent systems and environmental law, we propose that effective governance of AI agents requires moving beyond just regulation on individual agents to include system-level approaches. We examine how existing legal frameworks handle heterogeneous autonomous entities (humans, corporations, and animals) and explore how these …

Gig Work At What Cost? Exploring Privacy Risks Of Gig Work Platform Participation In The U.S., Amogh Pradeep, Johanna Gunawan, Álvaro Feal, Woodrow Hartzog, David Choffnes

Faculty Scholarship

In recent years, "gig work" platforms have gained popularity as a way for individuals to earn money; as of 2021, 16% of Americans have at some point earned money from such platforms. Despite their popularity and their history of unfair data collection practices and worker safety, little is known about the data collected from workers (and users) by gig platforms and about the privacy dark pattern designs present in their apps.

This paper presents an empirical measurement of 16 gig work platforms' data practices in the U.S. We analyze what data is collected by these platforms, and how it is …

Foundations For Platform Liability, Kathryn E. Spier, Rory Van Loo

Faculty Scholarship

From spreading misinformation to selling deadly products, bad actors use technology platforms to their advantage while causing devastating harms to privacy, health, and even democracy. Despite their central role in enabling these bad actors, the platforms almost entirely escape liability. This legal immunity is purportedly grounded in economics. From the beginning, courts and legislatures feared that liability would chill innovation, growth, and user access. They also speculated that platforms have sufficient market incentives to voluntarily police bad actors, making liability unnecessary.

Whereas many scholars have argued that platform immunity is blind to justice, this Article shows that it is also …

Normalizing Facial Recognition Technology And The End Of Obscurity, Woodrow Hartzog, Evan Selinger, Judy Hyojoo Rhee

Faculty Scholarship

This article argues that facial recognition technology is the most dangerous surveillance tool ever invented. Given the unique threats this morally suspect tool poses to privacy, civil liberties, human flourishing, and democracy, the only appropriate response is a ban. To justify our position, we explain why facial recognition is distinctive among biometrics, clarify how even seemingly benign and positive uses of the technology can trigger dangerous normalization dynamics, and pinpoint why current United States laws (with reverberations in the EU’s AI Act) are designed to accelerate a slippery slope that makes mass surveillance nearly inevitable. Our most fundamental contribution lies …

Facial Recognition Technology And The First Amendment, Joseph A. Tomain

Articles by Maurer Faculty

The growing ubiquity of facial recognition technology (FRT) is a problem. While much has been written on harmful government use of FRT, little has been written regarding harmful private actor use. This Article helps fill a gap in the literature by providing a detailed analysis of the First Amendment interests at stake when private actors use FRT. Specifically, this Article analyzes whether laws that limit the use of publicly available photographs to create faceprints for inclusion in FRT databases violate the First Amendment rights of private actors.

In May 2025, a multidistrict litigation against Clearview AI, an FRT company, offered …

Is An Autonomous Vehicle A Roller Coaster Or A Hollywood Film? Trust, Safety, And Industry Self-Regulation, Tracy Hresko Pearl

BYU Law Review

Regulation of autonomous vehicles continues to be a daunting task in the United States, and the federal government has not yet succeeded in creating a regulatory scheme that intelligently addresses the risks and benefits of these vehicles. There are multiple reasons for this regulatory lag. Autonomous vehicles are developing at such a rapid pace that lawmakers, who often struggle with technological literacy, struggle to keep up. Additionally, government agencies lack the level of expertise, experience, and data that the industry possesses.

Industry self-regulation offers a meaningful alternative for increasing the safety of autonomous vehicles and building consumer trust. The success …

“Whoever Invents Or Discovers”: Artificial Intelligence And The Case For Joint Inventorship, Seth F. Littleford

BYU Law Review

Artificial intelligence (AI) is increasingly important in the modern world. Given its fidelity to—and, in some cases, its surpassing of—human performance, people rely upon AI in myriad settings. The AI era is already here, and the technological advancements to come are even more mind-boggling. The United States Patent and Trademark Office (USPTO) has seen a significant increase in patent applications claiming inventions pertaining to AI, but how does the patent system handle when AI invents?

The U.S. Court of Appeals for the Federal Circuit recently held in Thaler v. Vidal that the Patent Act requires inventors listed on patent applications …