Computer Law Commons^™

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 …

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 …

Unto The (Data) Breach, Charlotte A. Tschider

Faculty Publications & Other Works

Since the early 2000s, U.S. courts have begun hearing “data breach” liability cases, the inevitable result of a growing internet-connected technology infrastructure. The relatively recent development of case law signals a body of law in development, stunted by significant limiting factors that prevent the coalescence of legal principles. To date, no holistic empirical exploration of data breach cases has offered sufficient detail to explore these factors. This descriptive empirical study analyzes, in detail, 225 data breach cases from 2005–2022, reviewing these cases over an extended period to descriptively identify key trends and changes within a bona fide data breach case’s …

Internet Search Engines’ Privacy Violations And The Lack Of Federal Regulation To Protect Consumers Rights, Elsa M. G. Rodriguez Ogando

Dickinson Law Review (2017-Present)

The United States’ current legal framework regarding internet search engines is disadvantageous to consumers. Federal privacy laws (although not encompassing search engines) grant businesses a strong legal basis in privacy claims and alibies for arbitrary behavior; these laws favor businesses over consumers. Moreover, state privacy laws empower nonspecific agencies to oversee privacy matters and enforce consumers’ rights. Thus, the U.S. privacy legal framework is in need of a new federal law that establishes consumers’ rights, as well as a federal agency dedicated solely to privacy matters. This Article proposes a federal law recommendation based on the standards of the California …

Chronically Online: Apportioning Liability In Social Media Litigation Based On User Engagement, Rebecca Vangelos

Fordham Law Review

The average American teenager spends nearly five hours on social media every day. This result is by design: social media platforms like Instagram, Snapchat, and TikTok deploy persuasive technologies—including infinite scroll, personalized content recommendation feeds, and dark patterns—to capture and retain teen attention. These intentional design features exploit adolescent vulnerabilities to foster social media dependency. Accordingly, a growing body of scientific evidence links the extensive use of social media to the teen mental health crisis in the United States.

Despite these negative effects, social media companies have largely evaded accountability for the harm they have caused to teens. Recent lawsuits …

Fighting The Hypothetical: Why Law Firms Should Rethink The Billable Hour In The Generative Ai Era, Nancy B. Rapoport, Joseph R. Tiano Jr.

Scholarly Works

“Fighting the Hypothetical: Why Law Firms Should Rethink the Billable Hour in the Generative AI Era” analyzes how the emergence and adoption of generative artificial intelligence (GenAI) will fundamentally disrupt the traditional billable hour model that has dominated the industry since the 1960s. Professor Rapoport and Mr. Tiano contend that GenAI’s ability to perform routine legal tasks quickly and accurately will force law firms to shift away from billing structures based primarily on time spent (or inputs) and toward models that better reflect client value (or outputs).

The authors interviewed law firm leaders to gain an “in the trenches” view …

Front Matter

SMU Science and Technology Law Review

No abstract provided.

Patching The Cfaa So Researchers No Longer Pay, Joshua Baker

Cybaris®

No abstract provided.

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 …

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 …

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 …

Shoot The Messenger: Why Section 230 Does Not Shield Suggestive Content Delivery, Alexander Heinkele

Cardozo Law Review de•novo

Internet companies have frequently relied on Section 230 of the Communications Decency Act of 1996 to avoid liability for third-party content hosted on their platforms. However, over time, companies began to take advantage of the broad cover of Section 230 in circumstances outside the statute’s original scope. This Note advocates for a more nuanced interpretation of the statute as it applies to suggestive algorithms and offers a proposal for amending Section 230 to better reflect the modern digital landscape.

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 …

What Is Copywritable In Software?, Charles Duan

Scholarly Articles in Law Reviews & Journals

No abstract provided.

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 …

The Globalization Of Copyright Exceptions For Ai Training, Matthew Sag, Peter K. Yu

Faculty Scholarship

Generative AI, machine learning and other computational uses of copyrighted works pose profound questions for copyright law. This article conducts of global survey of how different countries have attempted to answer these questions in relation to the unauthorized use of copyrighted works for training. Although the world has yet to achieve international consensus on this issue, an international equilibrium is emerging. Jurisdictions with common law and civil law traditions, and with varying economic conditions, technological capabilities, political systems, and cultural backgrounds, have found ways to reconcile copyright law and AI training. In this equilibrium, countries recognize that text data mining, …

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 …

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 …