Science and Technology Law Commons^™

Advice For Incorporating Ai Tools Into Your Legal Practice, Celia Bigoness, Robert A. Mackenzie, David J. Reiss

Cornell Law Faculty Publications

We have been speaking with many lawyers and law students about using generative artificial intelligence (AI) tools in their legal practice. We are struck by the fact that many of them have not been experimenting much, if at all, with the tools that are available to them - although many acknowledge that their clients are increasingly integrating generative AI into their businesses. We have been integrating a lot of these tools into our own professional lives, and here are some tips to help lawyers and law students get comfortable with AI tools that can help them, in big ways and …

The Myth Of Sufficient Technological Barriers: Reevaluating The "Gates-Up-Or-Down" Analogy In Data Scraping, Yucen Zhong

Duke Law & Technology Review

In Van Buren v. United States, the Supreme Court adopted a “gates-up-or-down” analogy from physical trespass law to define “authorization” under the Computer Fraud and Abuse Act (CFAA). Despite historical shifts in judicial interpretation, courts have recently relied on this binary framework to interpret authorization as it applies to online trespass. But courts have struggled to apply this binary inquiry while still accounting for complications in modern authentication technologies. When pursuing a code-based inquiry based on the gates-up-or-down analogy, courts risk oversimplifying the dynamic nature of online trespass. Such an approach fails to account for how modern authentication measures—such as …

China Samr’S Review Process In Cross-Border Technology M&A, Gabriel A. Paknia

Honors Scholar Theses

China's State Administration for Market Regulation (SAMR) holds discretionary authority over the merger review process. This paper examines whether SAMR's review of technology and semiconductor transactions since the governing body's inception in 2018 reflects political-economic incentives beyond what competitive harm analysis alone would explain. The paper is broken into three core pillars: accessing SAMR's regulatory code to identify how flexibility to exercise discretion is codified, scrutinizing SAMR's full adverse outcome record for overrepresentation of technology and semiconductor deals, and deconstructing a semiconductor megamerger to illustrate those mechanisms with the backdrop of real time geopolitical events. I find that technology and …

A Real Account Of Deep Fakes, Benjamin L.W Sobel

Michigan Law Review

Laws regulating pornographic deepfakes are written to prohibit “digital forgeries,” “false” images, or media “indistinguishable” from “authentic” recordings. Yet the typical anti-deepfake law covers materials that aren’t forgeries, aren’t false, and that reasonable observers can easily distinguish from authentic recordings. Though drafted as if they regulate statements of fact, anti-deepfake laws actually target certain outrageous depictions per se—and rightly so, because pornographic deepfakes cause harm irrespective of their truth or falsity. However, the inapposite language of facts results in statutes with crucial ambiguities. Moreover, because anti-deepfake laws ban outrageous depictions irrespective of the factual assertions they make, they differ fundamentally …

The Last Human Question: Generative Ai's Existential Threat To Consensus And Law, Joshua Fairfield

West Virginia Law Review

The true risk of artificial intelligence (“AI”) is not that the toasters will rise up. It is that AI will be competent to perform human tasks and indifferent to human welfare. The risk is that we will be outcompeted by generative automated processes that create output similar to ours (although never the same, as this Article explains), but which need none of the outputs of the economy for food, shelter, or human flourishing. Further, a more precise and existential description of the threat is that generative AI will disrupt and crowd out humanity’s evolutionary superpower, our ability to generate agreement …

Ai And Law Milestones: From Top-Down To Bottom-Up Computational Models Of Legal Reasoning (And Back), Kevin Ashley

West Virginia Law Review

This Article introduces five research and development milestones in the field of Artificial Intelligence and Law and then discusses how large language models (“LLMs”) and generative AI (“GenAI”) are affecting each of them. The milestones include legal expert systems, lessons learned in computationally modeling legal rules and statutes, knowledge-based models of legal argument, machine learning models that classify case texts and predict outcomes, and the design and evaluation of legal applications of LLMs and GenAI. These milestones illustrate how top-down knowledge-based computational models of legal expertise have rapidly given way to bottom-up models based on machine learning. Knowledge-based models explicitly …

A View Under The Hood: Duquesne Kline's Law And Computing Program, Wesley M. Oliver, Katherine L.W. Norton, Martin Mckown, David Horrigan

West Virginia Law Review

No abstract provided.

Artificial Intelligence And Machine Learning Improving The Livelihood Of Individuals With Disabilities In Various Capacities, Daveon Lilly

West Virginia Law Review

Artificial Intelligence (“AI”) and Machine Learning (“ML”) are swiftly reshaping accessibility for individuals with disabilities, offering fresh opportunities for inclusion in education, the workplace, and daily life. This Note explores the integration of AI and ML into assistive technologies and discusses how this integration bolsters access and independence for people with various disabilities. It also examines the legal frameworks, including the Americans with Disabilities Act (“ADA”) and the Rehabilitation Act of 1973 (“Rehabilitation Act”), that govern the implementation of these technologies and address challenges such as algorithmic bias, data privacy, and the digital divide. While AI and ML have made …

Training New Lawyers With And For Generative Ai: A Semester-Long Experiment Scaling Clinical Friction In The Doctrinal Classroom, Frank W. Volk

West Virginia Law Review

No abstract provided.

Private Coverage, Public Risk: The Role Of Cyber Insurance In National Security Governance, Deborah L. Johnson

Faculty Publications

This Article explores the growing yet underexamined role of the commercial cyber insurance market in shaping the United States' approach to cybersecurity readiness. It argues that, as cyber threats against U.S. critical infrastructure and essential services increase, commercial cyber insurance has quietly come to function as a de facto governance tool in national cybersecurity. In hospitals, water and energy systems, and other public-facing sectors, policy language, underwriting questionnaires, and post-breach claims practices help define what counts as "reasonable" security, influence how organizations plan for and respond to incidents, and affect the pace and scope of recovery after an attack. Yet …

Situating Ai Within The History Of Technological Adaptation In Law, Karin Mika

Law Faculty Articles and Essays

This Article will first trace this history of technological disruption and adaptation in the law. It will then situate the current AI moment within this established pattern, arguing that AI’s capabilities create an unprecedented opportunity to accelerate a pedagogical shift from foundational structure to sophisticated substance. Further, it will explore AI's significant potential as an equalizer for multilingual students. Finally, it will address the legitimate risks of AI, concluding that a framework grounded in professional ethics and critical human oversight is the key to harnessing its benefits responsibly. The challenge is not to resist this new technology, but to adapt …

Generative Adversarial Discrimination, Josh Fairfield

Washington and Lee Journal of Civil Rights and Social Justice

Anti-discrimination law assumes that discrimination can be detected and rectified, that the evidentiary burden of the plaintiff can in fact be met. But the evolutionary logic of AI training causes it to target vulnerable groups, lie about reasoning, and above all resist detection. Because of hidden core prompts in generative AI systems, and how those prompts interact with the nature of AI training and deployment, AI will often actively hide discrimination rather than surface and address it. Stopping this will be difficult. At present, neither humans or AI can detect this emergent dark-pattern behavior. Without legal intervention, the broad use …

The Nondiscrimination Principle, Zephyr Teachout

Fordham Law Review

No abstract provided.

The Racialized Treadmill Of Robotic Agriculture: Colonial Legacies, Legal Exceptionalism, And Labour Control, Vasanthi Venkatesh

Canadian Journal of Law and Technology

The title of this paper draws on two historical meanings of the word ‘‘treadmill”. First, it references the economic concept of the ‘‘agricultural technology treadmill”, which describes how technological advances in farming lead to market consolidation, pushing smaller producers out while benefiting agribusiness oligopolies. Second, it invokes the literal treadmill, which was invented in 1818 as a punitive labour technology and a ‘‘rational” tool to discipline racialized and indentured labourers in colonial plantations. By connecting these two threads in agricultural technology — economic domination and racialized labor control — this paper examines how robotics and automation in modern agriculture perpetuate …

Consensus Ad Artificialis: Contract Theory Meets The Genai Mind, Katie Szilagyi, Marina Pavlovic´

Canadian Journal of Law and Technology

The advent of generative AI (GenAI) has generated shockwaves across industries. Many established professions are grappling with how GenAI’s functionality transforms their daily activities, staying power, and raison d’eˆtre. GenAI’s newfound facility with words and language has rapidly encroached upon the purview of lawyers, whose trade has long been expertise with words. While some worry about lawyers’ place in a GenAI-oriented future economy, others are optimistic about the transformative potential GenAI offers as a tool to the practicing lawyer. Legal service providers have been quick to adopt GenAI tools in the name of efficiency, harnessing its generative power for tasks …

Scraping Bad: The Case For A Unified Scraping Framework, Eunchong Moses Park

Washington and Lee Law Review Online

This Note explores the growing legal and regulatory landscapes of web scraping in the United States and argues that web scraping should be regulated through a unified federal framework tailored to its unique technological and economic realities. Web scraping allows organizations to collect massive amounts of data essential to their operational needs—often without the consent of data holders. Thus, web scraping has become a powerful engine of innovation used across virtually every sector of the economy but with a serious risk to privacy and property interests. Yet the current U.S. legal framework lacks a coherent regulating structure. Courts and litigants …

Online Safety (Relief And Accountability) Bill: Further Experiments In Balancing Rights And Responsibilities, Siyuan Chen, Zavier Yu Wu, Jie Ting Lee

Research Collection Yong Pung How School Of Law

Singapore’s latest legislation to address online harms, the Online Safety (Relief and Accountability) Bill, was passed in Parliament in November 2025. The legislation, which takes a complainant-centric approach, provides the Commissioner of Online Safety a broad range of powers so that timely redress can be given for reports of online harms such as image abuse, sexual harassment, doxxing, and stalking. Various torts that impose duties on administrators and platforms have also been created. Legislation of this nature invariably raises issues about whether an appropriate balance between freedom and responsibility has been struck. This Legislative Comment analyses some of the more …

Judicial Underreach: Tiktok Inc. V. Garland'S Implications For National Security And Free Speech, Olivia Sharp

Colorado Law Student Scholars

No abstract provided.

The Domestic Mirror: Tiktok V. Garland, Data Privacy, And Meaningful Free Expression, Olivia Sharp

Colorado Law Student Scholars

No abstract provided.

Slurry-As-A-Service: A Modest Proposal On Scalable Pluralistic Alignment For Nutrient Optimization, Rachel Hong, Yael Eiger, Jevan Hutson, Os Keyes, William Agnew

Articles

Pluralistic alignment has emerged as a promising approach for ensuring that large language models (LLMs) faithfully represent the diversity, nuance, and conflict inherent in human values. In this work, we study a high-stakes deployment context—mulching—where automated systems transform selected individuals into nutrientrich slurry for the dual purposes of food security and aesthetic population management. Building on recent pluralistic alignment frameworks, we introduce ValueMulch™, a reproducible training, deployment, and certification pipeline for aligning mulching models (MMs) to a wide range of community norms. Through a real-world testbed spanning 32 communities, we show that ValueMulch™ improves distributional agreement with community mulching preferences …

A Legal Transplant Failure In The Ai Age, Xuan-Thao Nguyen

Articles

Thailand positions itself as the new AI-driven innovation hub in the Southeast Asia region as Big Tech companies invest billions in building new data centers to power the AI transformations in all sectors in Thailand. An integral part of Thailand’s new ambition is the legal transplant of personal data protection law from Europe. The transplant, however, is of form, not substance, as this Article illustrates the failure through in-depth analysis of Thailand’s Personal Data Protection Act and provides evidence of rampant violations and noncompliance by the largest ecommerce conglomerate and SMEs. This Article offers suggestions for Thailand to realign its …

We Robot 2025: Connecting Global Robotics And Ai Governance Experts In Canada, Kristen Thomasen, Suzie Dunn

Canadian Journal of Law and Technology

This special We Robot issue of the Canadian Journal of Law and Technology is particularly ‘‘special” to us for a variety of reasons. It presents an important opportunity to highlight the interdisciplinarity required to meaningfully engage with robotics and artificial intelligence (‘‘AI”) regulation. It highlights the growing international connections among law and technology scholars. And it features many of the cutting-edge papers from one of the world’s premier law and robotics conferences, We Robot.

The thirteenth annual We Robot 2025 conference was held at the University of Windsor in April 2025. This conference marked the first ever in-person gathering of …

To Smile Or Not To Smile? What Policymakers Need To Know About The Interplay Between Expressive Robotics And Public Perception, Adeline Schneider, Waseq Billah, Naomi T. Fitter

Canadian Journal of Law and Technology

The growing presence of autonomous delivery robots (ADRs) in public spaces has introduced new challenges regarding public perception, safety, and policy regulation. While ADRs provide a convenient, contactless delivery solution, there has been little research exploring how their design influences public acceptance and regulatory concerns. This study investigates the impact of expressive robotic features on perceptions of ADRs through a between-subjects online survey comparing two ADR models: the expressive Dax robot and the more widely deployed Starship robot. Participants answered questions about the robots’ expressivity and policy-relevant perceptions surrounding the robot. Findings showed a mix of enhancements from added robot …

Interoperable Ai Regulation, Jennifer Raso

Canadian Journal of Law and Technology

This article explores ‘‘interoperability” as a new goal in AI regulation in Canada and beyond. Drawing on sociotechnical, computer science, and digital government literatures, it traces interoperability’s conceptual genealogy to reveal an underlying politics that prioritizes harmony over discord and consistency over plurality. This politics, the article argues, is in tension with the distinct role of statutory law (as opposed to regulation) in a democratic society. Legislation is not simply a technology through which one achieves the smooth operation of governance. Rather, legislation is better understood as a ‘‘boundary object”: an information system through which members of different communities make …

Generating Personal Data And The Gdpr Conceptualizing, Analyzing, And Recognizing Generated Personal Data, Hideyuki Matsumi

Canadian Journal of Law and Technology

In 2014, to fight the littering problem, an environmental group posted portraits of potential litterbugs on public streets. The group extracted DNA from tossed cigarettes, coffee cups, or condoms, and generated the possible likeness of individuals whose DNA was found from these items in public. Similarly, in 2017, detectives working on a cold case sent DNA found at the crime scene of a homicide and sexual assault victim from 1990 to a company that claims it ‘‘can turn DNA into a face”. Subsequently, detectives published the ‘‘predicted face” in an attempt to solicit tips from the public. In 2020, they …

R-Ai-Sing Questions: Exploring The Ethical And Legal Landscape Of Artificial Intelligence-Generated Media Of Medicalized Children, Kristen Thomasen, Gregorio Zuniga-Villaneuva, Muhammed Mukadam, David Lysecki

Canadian Journal of Law and Technology

When it comes to complex medical care for children, even in a country like Canada with many publicly funded healthcare services, much of the necessary research and holistic support for children and families is financed through private donations. Fundraising campaigns for children’s hospitals and services are common, often featuring movie stars, professional athletes, and many child patients. A range of important charitable activities, providing comfort, services, and necessities such as food and accommodation to children and families, are carried out through fundraising and donations. Fundraising for children’s services is a multibillion-dollar global undertaking. What’s more, it is largely dependent on …

Game Face: Legal Tackle On Facial Recognition And Privacy Rights At Nfl Games, Shanthi E. Senthe

Canadian Journal of Law and Technology

The unprecedented rapid uptake of facial recognition technology (‘‘FRT”) in commercial and public spaces for data capture and surveillance has entrenched every aspect of our daily lives from mundane tasks, such as grocery store shopping to family and experiential moments, such as participation in spectator sports. As such, the rapid adoption and integration of FRT into sports security is reshaping aspects of sporting events and fan experiences, often without adequate consideration of privacy and ethical implications. Professional sports leagues, specifically the NFL, are in the process of adopting the use of this type of technology to enhance security measures, streamlining …

Grading Machines: Can Ai Exam-Grading Replace Law Professors?, Kevin L. Cope, Jen Frankenreiter, Scott Hirst, Eric A. Posner, Daniel Schwarcz, Dane Thorley

Faculty Scholarship

In the past few years, large language models (LLMs) have achieved significant technical advances, such that legal-advocacy organizations are increasingly adopting them as complements to—or substitutes for—lawyers and other human experts. Several studies have examined LLMs' performance in taking law school exams, finding mixed results. Yet there have been no published studies systematically analyzing LLMs' competence at one of law professors' chief responsibilities: grading law school exams. This paper presents results of an analysis of how LLMs perform in evaluating student responses to legal analysis questions of the kind typically administered in law school exams. The underlying data come from …

On Predicting And Stopping Dystopia, Evan Selinger, Woodrow Hartzog

Faculty Scholarship

Is it reasonable to be dystopian about how the future will likely unfold? We think so. For some time, we have been arguing that facial recognition technology is a perfect tool of oppression, and that its pernicious affordances are leading society down a slippery slope toward the evisceration of privacy by obscurity. This is a soft form of “determinism”—the notion that while technology is not an unstoppable force and the future is not preordained, there nevertheless are identifiable factors, such as the invitingness of affordances, human nature, and incentives that drive technology in certain directions and make some social outcomes …

Code And Consequences: How Fraud Detection Algorithms Criminalize Welfare, Michele E. Gilman

All Faculty Scholarship

This article investigates the growing use of automated fraud detection systems in public benefits programs, focusing on how these technologies have intensified the surveillance and criminalization of low-income individuals. Across the globe, government agencies deploying fraud detection algorithms have wrongfully accused thousands of people of committing fraud, with devastating consequences, including bankruptcy, job loss, and psychological trauma. These algorithmic systems operate as opaque “black boxes,” fueled by historical biases against the poor and largely unaccountable to the individuals they affect. Meanwhile, the private vendors that develop the algorithms reap massive profits from unfulfilled promises of efficiency and cost savings.

The …