Science and Technology Law Commons^™

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 …

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.

Racing To Safety: Tax Policy For Ai Safety-By-Design, Mirit Eyal, Yonathan Arbel

Articles

The White House recently announced its vision of artificial intelligence (AI) policy: AI development is a race and America must win it. To that end, a new America's AI Action Plan directs federal agencies and states to remove regulatory barriers to AI development and accelerate innovation. This approach leaves limited room for regulatory measures that would address the safety risks of powerful AI systems: their behavior in novel domains remains unpredictable, their decision-making opaqueness, and their alignment with human values is uncertain. While experts warn of large-scale accidents, policymakers find themselves in a bind: Regulate AI and cede ground to …

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 …

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.

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 …