Computer Law Commons^™

Inevitable Errors: Defamation By Hallucination In Ai Reasoning Models, Lyrissa Barnett Lidsky, Andrew Daves

UF Law Faculty Publications

Over the last millennium, defamation law has adapted to many new information technologies, including the printing press, the telegraph, and the internet. Now, defamation law must adapt to the challenges presented by generative artificial intelligence, and specifically the propensity of Large Language Models to produce defamatory hallucinations. In this article, we unite the lessons of legal history with cutting-edge computer science research in developing a legal framework for addressing defamatory hallucinations produced by AI reasoning models. This article breaks new ground by recognizing both the inevitability and even desirability (in some instances) of AI hallucinations. We argue that defamation law …

Artificial Intelligence And Intellectual Property, Part Iii: Ip Protection For Ai-Assisted Inventions And Creative Works, Joshua Landau

American University Business Law Review

Chairman Darrell Issa, Ranking Member Hank Johnson, distinguished members of the Subcommittee on Courts, Intellectual Property, and the Internet ("Subcommittee") of the Committee on the Judiciary ("Judiciary Committee"), on behalf of the Computer and Communications Industry Association (CCIA) and its members, thank you for this opportunity to share our views on intellectual property (IP) protection for artificial intelligence (AI)-assisted works and inventions.

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, …

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.

Transportation Security Administration Use Of Facial Recognition Technology: Turbulence Surrounding Traveler Rights, Mckenly Redmon

SMU Science and Technology Law Review

Facial recognition technology has been employed by law enforcement agencies and private companies for decades. This technology promises safer and more efficient processes to identify individuals in the name of safety. However, not everyone approves of their biometric data being collected. This Article provides an overview of the current use of facial recognition technology by the Transportation Security Administration (TSA) in airport security checkpoints. It begins by explaining the underlying technology behind facial recognition and explores the safety and security concerns behind it. Building on this foundation, this Article then evaluates how the TSA’s use of facial recognition influences science …

Front Matter

SMU Science and Technology Law Review

No abstract provided.

Debugging The Trademark Laws Part Ii: Criminal Penalties For Trafficking In Counterfeit Microelectronics, Patricia E. Campbell

SMU Science and Technology Law Review

Counterfeit microelectronics have been a persistent problem in government and industry supply chains for many years. Counterfeit electronic parts (e.g., integrated circuits, transistors, capacitors) pose serious risks to human health and safety, harm the economy, and jeopardize national security. Trafficking in counterfeit goods and services was first criminalized in 1984, and Congress has acted on several occasions to increase the corresponding penalties. Nevertheless, the trade in counterfeit microelectronics continues to evolve to meet market demands, and relatively few criminal cases have been brought for trafficking in counterfeit microelectronics. While several factors may contribute to this apparent lack of enforcement, the …

The Artificial Intelligence Trolley Problem: Governance In The Post-Chevron World, James M. Cooper, Kashyap Kompella

SMU Science and Technology Law Review

This Essay addresses a growing Constitutional challenge in public governance: the increasing delegation of consequential decisions to algorithmic systems that encode value trade-offs between liberty and security, equity and efficiency, and expression and control, without visibility, legal justification, or institutional oversight. We view this hidden normative choice an example of the “Artificial Intelligence (AI) Trolley Problem.” Like the classic moral dilemma, it involves unavoidable sacrifices among competing goods. Unlike its philosophical counterpart, however, algorithmic trade-offs occur silently. They are embedded in data proxies, optimization logic, and model design, and insulated from scrutiny by claims of technical neutrality. This Essay argues …

Systemic Risk And The Social Contract, Kevin Frazier

SMU Science and Technology Law Review

The stability of the constitutional order turns, in part, on a stable economy and reliable advances in technology. Political order cannot withstand economic collapse or a massive technological failure. Such crises chip away at the collective will to adhere to the social contract because they indicate the government may not have the capacity to uphold its end of the bargain—protecting individual liberty from broad threats. “Unprecedented” economic downturns, however, have a precedent of emerging from the very deliberate decision of some actors to pursue extremely risky behavior in their self-interest at the expense of the public. Societal disruption from over-dependence …

Retail Innovation Through Ai: Benefits And Liabilities, W. Michael Schuster, Simon E. Corrigan

SMU Science and Technology Law Review

This article investigates the transformative capabilities of artificial intelligence (AI) within the retail industry. We highlight significant opportunities for product customization, innovation, and enhanced supply chain efficiency, while also examining complex legal challenges associated with AI-generated content. In particular, concerns in the copyright realm are highlighted— including documented biases against AI-produced works. Recognizing these issues, retailers should adopt proactive legal strategies, ensure transparency, and consider hybrid human-AI collaborative approaches. Strategically addressing these issues will help maximize consumer and business benefits while mitigating legal exposure.

Robot Regulators, Brian L. Frye

SMU Science and Technology Law Review

No abstract provided.

Visual Legal Rhetoric In The Age Of Generative Ai And Deepfakes: Renaissance Or Dark Ages?, Michael D. Murray

SMU Science and Technology Law Review

The paradoxical development of visual generative AI tools, such as OpenAI’s DALL-E 3, Midjourney, and Stable Diffusion, simultaneously signals a renaissance and a potential dark age in visual rhetoric and communication. On the one hand, these tools democratize the creation of visual content, empowering attorneys and others to become artists and illustrators of their legal communications without needing to learn how to draw. These AI systems can simplify complex legal concepts, bridge language barriers, and enhance advocacy. But on the other hand, the proliferation of deepfakes presents significant challenges for visual rhetoric. Deepfakes can quickly and easily create realistic but …

Willful Ignorance Or Embracing Ai To Find Prior Art? Uspto Misses The Mark, Henry H. Perritt Jr.

SMU Science and Technology Law Review

Artificial intelligence (AI) is frequently in the news. Policymakers and business executives must decide whether it is a revolutionary phenomenon, likely to overturn established enterprises and practices, or if it is a mere modest advancement in decades-old natural language capability over-advertised by Silicon Valley seeking the “next big thing” and hyped by reporters eager for the next byline. The patent office and the patent bar are not immune from the turmoil. The USPTO has issued several policies and inquiries related to the impact of AI on various aspects of patent prosecution. Most recent is a Request for Comments on the …

Data Privacy In K-12 Education: Protecting Students In The 21st Century, Kate Hughes

SMU Science and Technology Law Review

Connectivity has come to define a new generation, with kids today comprising a large sector of the online community. With most of their days spent at school, it is no surprise that the 21st-century classroom has become a playground in the digital sense, with districts growing increasingly reliant on “EdTech” platforms that promise high-impact solutions to an industry entrusted with laying the foundations of the next generation. As the “big data” movement continues to progress, the education sector will continue to reinvent itself alongside the chance to discover new efficiencies and create new opportunities for timely feedback, individualized instruction, and …

Patching The Cfaa So Researchers No Longer Pay, Joshua Baker

Cybaris®

No abstract provided.

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 …