Computer Law Commons^™

Regenerating Justice: Chatgpt And The Legal Minefield Of Generative Ai, Katie Szilagyi

Canadian Journal of Law and Technology

This paper adopts an automation bias lens to cast doubt on the growing claims that GenAI is a transformational tool for legal industry. In this context, automation bias refers to the well-known psychological phenomenon in which human decision-makers unwittingly defer to automated processes, flowing from overreliance on the accuracy of the automation. Even well-meaning individuals aiming to keep a “human-in-the-loop” of any automated decision can fall prey to this well-documented phenomenon, trusting the technology more than it deserves to be trusted. Champions for current GenAI technologies often do acknowledge limitations within the existing landscape of tools, like GenAI’s tendency to …

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 …

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 …

Funkcjonowanie Doręczeń Elektronicznych W Ujęciu Technicznym, Michał Tabor

internetowy Kwartalnik Antymonopolowy i Regulacyjny (internet Quarterly on Antitrust and Regulation)

The article provides a legal-technical and market analysis of electronic delivery in Poland, concluding that while the system complies with the basic requirements of the eIDAS Regulation, it needs significant organizational and technical improvements. The author reviews the National Electronic Delivery System, the role of the designated operator and qualified trust service providers, and highlights issues with interoperability, address registration and portability, delivery mailboxes, and the hybrid delivery service. Recommended legal reforms include granting the public delivery service qualified status, enabling multiple delivery addresses for public and complex organizations, partly opening the market to commercial qualified providers, and moving supervision …

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 …

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 …

Volume 7 (2024) Artificial Intelligence And Responsibility, Arwa Alnajashi, Danielle Derise, Philip L. Frana, David Mcgraw, Amanda Sawyer, Tatjana Titareva, Raafat Zaini, Allie Zombron

International Journal on Responsibility

The seventh volume of the International Journal on Responsibility (IJR) arrives at a crucial moment in the evolution of artificial intelligence and its integration into our academic and social fabric. As we witness the rapid advancement and deployment of AI systems across various domains, this special issue examines the multifaceted dimensions of responsibility surrounding AI technology, with a particular focus on its role in higher education and broader societal implications.

The articles in this volume contribute to our understanding of responsibility through diverse lenses, from classroom implementation to ethical design considerations. Together, they fulfill IJR’s central mission of exploring “Who …

Data Scraping For Generative Ai—To What Extent?, Jae Yeon Cecilia Kim

Brooklyn Journal of Corporate, Financial & Commercial Law

Generative AI platforms are developed by scraping data from other platforms. This raises complex copyright infringement issues that are yet to be resolved. Courts have attempted to address these problems using the fair use doctrine, which evaluates four factors to determine whether a use infringes on copyright: (1) the purpose and character of the use, (2) the nature of the use, (3) the amount and substantiality of the copyrighted work’s use, and (4) the impact of the use on the market for the original work. Despite efforts to apply this long-established doctrine, challenges persist, including difficulties in identifying the copyright …

I Ain't Afraid Of No Ghost…Kitchen! A New Realm Of Consumer Protection After The Inform Consumers Act, Johanna Silva

Brooklyn Journal of Corporate, Financial & Commercial Law

The effects of the COVID-19 pandemic were pervasive, sparing none from its impact. However, the restaurant industry bore an even greater change and a heavier burden than most. At the height of the pandemic, some 110,000 restaurants shut down. QR codes replaced paper menus, street parking transformed into outdoor dining sheds, and Friday night dinners at the “great spot on the corner” became takeout orders from the couch. Reopening was an unpredictable gamble for restaurant owners, fraught with tiered plans and inconsistent regulations on safe and unsafe dining practices. The desperate search for creative solutions to stay in business propelled …

Emerging Compliance In The Generative Decentralized Era, Nizan Geslevich Packin

Brooklyn Journal of Corporate, Financial & Commercial Law

Is it the end of compliance as we know it? Emerging technologies such as Artificial Intelligence (“AI”), including Generative AI (“GenAI”), and blockchain are reshaping regulatory compliance in the Web 3.0 era. As machine-generated data becomes the norm, traditional models reliant on human oversight are becoming obsolete, necessitating swift adaptation from regulators and industry stakeholders. Historically, compliance was designed to be managed by humans due to the need for critical thinking, ethical considerations, and nuanced decision-making. Yet, in today’s era, this approach is no longer viable. Addressing this need, Regulatory Technology (“RegTech”) has played a key role in modernizing compliance …

Regulating Chatbot Output Via Inter-Informational Competition, Jiawei Zhang

Northwestern Journal of Technology and Intellectual Property

The advent of ChatGPT has sparked over a year of regulatory frenzy. Policymakers across jurisdictions have embarked on an AI regulatory “arms race,” and worldwide researchers have begun devising a potpourri of regulatory schemes to handle the content risks posed by generative AI products as represented by ChatGPT. However, few existing studies have rigorously questioned the assumption that, if left unregulated, AI chatbot’s output would inflict tangible, severe real harm on human affairs. Most researchers have overlooked the critical possibility that the information market itself can effectively mitigate these risks and, as a result, they tend to use regulatory tools …

Fair Use, Licensing, And Authors' Rights In The Age Of Generative Ai, Celeste Shen

Northwestern Journal of Technology and Intellectual Property

The rise of generative AI technologies has introduced unprecedented challenges to copyright law, particularly around the fair use of copyrighted works in AI training processes. Generative AI tools, such as ChatGPT, are trained on vast datasets that often include copyrighted material, typically without the consent of authors or compensation for use. This widespread, unauthorized use has led to legal disputes, with plaintiffs asserting that using protected texts in training AI models constitutes copyright infringement. This Note examines the application of the fair use doctrine to generative AI, analyzing each of the four statutory factors to demonstrate that generative AI’s commercial …

Integrating Humanities Into Cybersecurity Education: Enhancing Ethical, Historical, And Sociopolitical Understanding In Technical Training, Joseph Frusci

Journal of Cybersecurity Education, Research and Practice

The increasing complexity of cybersecurity challenges necessitates a holistic educational approach that integrates both technical skills and humanistic perspectives. This article examines the importance of infusing humanities disciplines such as history, ethics, political science, sociology, law, and anthropology—into cybersecurity education. Through a pilot course developed for Staten Island Technical High School, aligned with the New York State K-12 Computer Science and Digital Fluency Standards, students were introduced to an interdisciplinary curriculum that combined technical cybersecurity training with historical analysis, ethical reasoning, and sociopolitical context. The results of pre- and post-course assessments demonstrated significant improvements in critical thinking, ethical decision-making, and …

Generative Artificial Intelligence And Copyright In The Film And Media Industry, Victor A. Oberting Iv

Washington and Lee Law Review Online

The development of generative artificial intelligence (“GAI” or “generative AI”) introduces compelling benefits and capabilities to filmmakers and artists, but also brings complications regarding copyright of creative works. The American film and media industry in particular illustrates the scope of GAI’s legal, economic, and ethical implications. Though GAI may exhibit characteristics of independent agency or intent, GAI models are best understood as a new set of tools that serve a diverse range of applications in the creative process. The potential benefits of this set of tools can only be realized, then, if the filmmakers who use them are not unreasonably …

Gray Advice, Keith Porcaro

Duke Law & Technology Review

Debates over economic protectionism or the technology flavor-of-the-month obscure a simple, urgent truth: people are going online to find help that they cannot get from legal and health professionals. They are being let down, by products with festering trust and quality issues, by regulators slow to apply consumer protection standards to harmful offerings, and by professionals loath to acknowledge changes to how help is delivered. The status quo cannot continue. Waves of capital and code are empowering ever more organizations to build digital products that blur the line between self-help and professional advice. For good or ill, “gray advice” is …

Is Sunlight The Best Disinfectant? The Role Of Regulation In Addressing Cybersecurity Concerns, Reagan Leverett

Vanderbilt Law Review

The technological landscape in the United States is changing rapidly, and this transformation carries with it unprecedented challenges for administrators, companies, and investors alike. In particular, cybersecurity concerns are growing in light of the new opportunities for cyber malfeasance in this landscape—opportunities to pillage corporate databases and exploit the sensitive consumer information housed therein. For administrators, these new threats challenge prevailing regulatory frameworks and demand novel solutions. For companies, this landscape brings financial and reputational threats. For stakeholders, the cyber era presents the risk of investment losses and, in some cases, loss of personal data.

The Securities and Exchange Commission …

Connected Vehicles And Data Privacy & Sovereignty In The Global South, Uduak Ekott, Zhe Che, Attamongkol Tantratian

Maurer Student Articles

This essay examines data privacy and data sovereignty concerns associated with connected vehicles, with particular attention to countries in the Global South. It considers the collection and cross-border transfer of personal and vehicle data, surveys data protection and localization frameworks in several jurisdictions, and discusses regulatory approaches that importing countries may adopt to protect privacy and digital sovereignty.