Digital Commons Network^™

Computational Clinical Judgment: Predicting Risk With Large Language Models, Hannah Laqueur, Ryan W. Copus

Faculty Works

For seventy years, research has shown actuarial methods outperform clinical judgment. Yet actuarial approaches have limitations: they generally rely on structured data; cannot exploit rare case-specific details; have limited accuracy where outcome data are scarce or incomplete; and cannot offer case-level justifications. Large language models (LLMs) offer a different approach. Like actuarial methods, they aggregate information algorithmically, but like clinicians, they bring general knowledge and can provide case-level justifications. We prompted seven LLMs to assess rearrest risk from 113 parole hearing transcripts and compared their predictions to a machine learning model trained on 4,000 cases with 91 administrative variables. GPT-5 …

Ai Training Is Fair Use: The Beginning Of The End Of The Copyright Assault On Gen Ai, Michael D. Murray

Journal of Law, Technology, & the Internet

Two federal courts overseeing claims against the developers of generative artificial intelligence (GenAI) have pointed the way to resolving these infringement actions by finding that the training of GenAI models is a transformative fair use under copyright law. While the two opinions differed in tone and scope, this article takes these rulings as the starting point for a discussion on resolving the ongoing copyright claims against AI developers, signaling what may be the beginning of the end of the copyright assault on GenAI.

The goal of this article is to inject urgency into resolving these matters. It asserts that uncertainty …

Do-It-Yourself Reparations, Martha M. Ertman

Faculty Scholarship

The magnitude of harms like white supremacy makes it difficult to precisely identify losses, let alone remedy them. Piecemeal approaches are essential, and private efforts may be the only option when public law and cultural norms deny or perpetuate the harms. This Article addresses one racial harm, the 10:1 racial wealth gap between white and black Americans, in the context of residential segregation over the past century. It contends that the equitable doctrine of restitution enables us to recognize and remedy the unjust enrichment enjoyed by white Baby Boomers caused by private law mechanisms such as racially restrictive covenants, all …

Ai Co-Inventor: Robot Enabled Patent Prosecution, Henry H. Perritt Jr.

UIC Review of Intellectual Property Law

No abstract provided.

Operational Agency: A Permeable Legal Fiction For Tracing Culpability In Ai Systems, Anirban Mukherjee, Hannah H. Chang

SMU Science and Technology Law Review

Modern artificial intelligence (AI) systems act with a high degree of independence yet lack legal personhood—a paradox that fractures doctrines grounded in human-centric notions of mens rea and actus reus. This Article introduces Operational Agency (OA)—a permeable legal fiction structured as an ex post evidentiary framework—and Operational Agency Graph (OAG)—a tool for mapping causal interactions among human actors, organizations, and AI systems. OA evaluates an AI’s observable operational characteristics: its goal-directedness (as a proxy for intent), predictive processing (as a proxy for foresight), and safety architecture (as a proxy for standard of care). OAG operationalizes that analysis by embedding these …

Suing The Ghost In The Medical Machine, Jason R. Cheek

SMU Science and Technology Law Review

Devices that autonomously diagnose medical conditions, with no human interaction, have arrived. These self-operating systems incorporate artificial intelligence (AI), and include machines that diagnose preventable blindness, as well as some that write radiology reports. These devices feature AI-integrated software to make diagnosis decisions traditionally made by humans who have received extensive medical training. Soon, AI-driven devices will autonomously make treatment decisions.

What happens when these autonomous medical systems harm a patient? At the moment, most would expect product liability law to provide a path to recovery. But AI oftentimes uses multiple complex inputs and approaches, including statistical probabilities, to reach …

Fresh Start Or False Promise? Addressing Black Student Loan Debt Through Bankruptcy, Adji Ostin

Emory Bankruptcy Developments Journal

No abstract provided.

Revolutionizing The Cross-Border Payment System, Muhui Shi

Michigan Technology Law Review

When you bought your coffee this morning, you probably didn’t notice that many cross-border payments were hidden in the process of shipping beans in Ethiopia to the barista in your neighborhood. Comprising more than ten percent of what U.S. consumers spend, cross-border payments are an essential part of U.S. dollar dominance and commercial competitiveness. Yet, the outdated cross-border payment system—shrinking constantly in reach and struggling with structural changes—is demanding a complete upgrade.

What is the best path forward? Cryptocurrencies? E-money? Stablecoins? Central bank digital currencies (CBDCs)? In this article, I answer the question by uncovering the core needs of the …

Regulating Ai Beyond Product Liability, Shruti Trikanad

Michigan Technology Law Review

Artificial Intelligence (AI) is being used by governments across the world to enforce regulatory mandates, adjudicate benefits and privileges, predict and analyze risks, and much more. Although this has significant potential to increase efficiency and responsiveness, it also comes with several risks of transparency, government accountability, and the amplification of discrimination and bias. It is crucial we oversee and regulate these AI systems effectively. This essay argues against the models that current regulatory frameworks are adopting to govern AI use: those resembling product liability.

Through the lens of the European Union's AI Act and Liability Directive, it highlights the unsuitability …

Recovering From The Ego Death Of The Internet: How The Communications Decency Act Has Shattered Cyber-Libertarianism And The Non-Exceptionalist Move Toward A Brighter Digital World, Peyton Friedlander

Michigan Technology Law Review

For nearly thirty years, the legal framework for analyzing liability for claims of tortious wrongdoing on the Internet has been governed by Section 230 of the Communications Decency Act (“CDA”). However, much has changed since the Act’s inception. Since Congress enacted the CDA, courts have interpreted its provisions far beyond their original meaning, creating a regime that ultimately destroys a prospective plaintiff’s ability to recover the equitable remedies once available to those seeking redress for online invasions of privacy and reputational harms.

As the Internet continues to grow and changes in technology rapidly develop, it is time to re-center equitable …

Reconceiving Safety Regulation For Ai And Ml Medical Software, Barbara J. Evans, Eric S. Rosenthal, Azra Bihorac

UF Law Faculty Publications

This article explores the challenges of regulating AI and ML clinical decision support tools intended to assist trained health care professionals in delivering clinical care. Two old, twentieth-century regulatory models have dominated discussions of medical AI policy since 2013. Thinking inside these old regulatory boxes has not produced effective regulatory solutions to address the novel risks AI poses in clinical care. The first regulatory box treats software as a medical device, which tasks medical device regulators with making software safe but neglects the crucial roles physicians, nurses, administrators, medical practice regulators, and other health oversight bodies must also play to …

Crypto Money Laundering, Jiaying Jiang

UF Law Faculty Publications

The crypto ecosystem has become a new frontier for money laundering, with criminals exploiting its anonymous and pseudonymous features. This Article explores how money laundering operates in the crypto space and highlights emerging trends. It then examines the existing legal and regulatory framework and argues that its core weakness lies in its reliance on trusted intermediaries. This approach conflicts with the philosophy that shaped the emergence of the crypto industry-one grounded in disintermediation and decentralized trust. To address this tension, this Article demystifies decentralization, showing that it is not a binary condition but instead exists on a spectrum. Across the …

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

SMU Law Review

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 …

Global Supply Chain Resilience In Emerging Technologies: A Case Study Of Bitcoin Mining, Kishanthi Parella, Carla L. Reyes

Scholarly Articles

The United States has put into motion bold plans in critical and emerging technologies to bolster its national and economic security.  For example, the federal government created a national bitcoin strategic reserve and a stockpile of other cryptocurrency; while several states have committed to or are considering similar goals.  However, the security of these reserves is dependent on two types of supply chains within the Bitcoin mining industry: analogue supply chains, relating to the physical components needed for Bitcoin mining, and data supply chains, relating to the complex and layered logistical network of actors that create input into …

Serendipity And Self-Regulation: The Evolution Of Cryptocurrency-Based Exchange-Traded Products, Onnig H. Dombalagian

American University Business Law Review

Cryptocurrency enthusiasts rejoiced last year when the Securities and Exchange Commission (SEC) approved the listing of bitcoin-based and ether-based exchange-traded products (ETPs). For over a decade, cryptocurrency entrepreneurs have sought to trade cryptocurrency products on traditional securities exchanges.  Listing bitcoin and ether ETPs gave retail investors an easily accessible, transparent, and perhaps, more cost-efficient means of investing in cryptocurrencies while reducing the credit and custodial risks of dealing with unregistered digital asset exchanges or digital asset intermediaries. The listing of cryptocurrency ETPs may also represent a substantial step toward completing the marketplace for financial transactions in bitcoin and ether.

 There …

Ai-Powered Lawyering: Ai Reasoning Models, Retrieval Augmented Generation, And The Future Of Legal Practice, Daniel Benjamin Schwarcz, Sam Manning, J.J. Prescott, Patrick Barry, David R. Cleveland, Beverly Rich

Articles

Generative AI is set to transform the legal profession, though its most promising uses and ultimate effects are still unclear. While AI models like GPT-4 improve efficiency, they can also “hallucinate” and may undermine legal judgment, particularly in complex tasks typically handled by skilled lawyers. This article examines two emerging AI innovations that may mitigate these concerns: Retrieval Augmented Generation (RAG), which grounds AI-powered analysis in legal sources, and AI reasoning models, which structure complex reasoning before generating output. We conduct the first randomized controlled trial assessing these technologies, assigning upper-level law students to complete legal tasks using a RAG-powered …

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

Articles

In the past few years, large language models (LLMs) have achieved significant technical advances, enabling legal-advocacy organizations to adopt them as complements to—or substitutes for—lawyers and other human experts. The role of LLMs in legal education, however, is underexplored. While several studies have examined LLMs’ performance in taking law school exams, finding mixed results, 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 contained in …

Rooted In Family Unity: Advocating For U.S. Citizen Children As Qualifying Relatives, Kevin J. Henriquez

University of the District of Columbia Law Review

This paper advocates for expanding the scope of unlawful presence waivers under § 212(a)(9)(B)(v) of the Immigration and Nationality Act (“INA”) to include U.S. citizen offspring as “qualifying relatives.” Under current law, the waiver only recognizes hardship to U.S. citizens or lawful permanent resident spouses or parents, excluding offsprings entirely despite their central role in family life. This exclusion undermines decades of immigration policy prioritizing family unity and creates devastating consequences for mixed-status families, particularly where U.S. citizens, minors, or adults depend on undocumented parents for financial, emotional, or medical support. This paper traces the statutory and legislative history of …

Patenting Ai Discoveries In Life Sciences: Overcoming Eligibility, Disclosure, And Inventorship Challenges, Dhohyung Kim, Ryan P. Hiler

IP Theory

The pharmaceutical and biotechnology industries face transformative opportunities through artificial intelligence and machine learning integration. However, these technological advances create distinct patent law complications that traditional drug development does not encounter. This article analyzes three interconnected obstacles: establishing eligible subject matter under 35 U.S.C. § 101, meeting disclosure standards under § 112(a), and determining proper inventorship when AI systems contribute substantially to claimed inventions. Drawing from recent USPTO guidance and Federal Circuit precedent, this analysis offers evidence-based strategies for patent practitioners, research scientists, and business leaders seeking robust intellectual property protection for AI-integrated pharmaceutical innovations.

Scrappy Or Strategic? Law Firm Decision-Making In Light Of Executive Orders, Nancy B. Rapoport

Emory Business Law Review

Some of President Donald J. Trump’s early 2025 Executive Orders targeted specific law firms.  These Executive Orders have created a stir within our legal community.  Why did some firms fight those Executive Orders and other firms agree to quick settlements with the Trump administration?  In this article, I use some rudimentary concepts taken from game theory (as in, “I won’t use numbers or mathematical proofs,” so I expect actual game theorists to roll their eyes at my analysis) to analyze two games:  the game of “who within the firm will decide whether to fight or settle” and the game of …

The Effects Of Tax Evasion On Inequality, David A. Weisbach, Thomas Coleman

Coase-Sandor Institute for Law & Economics Research Paper Series

To estimate inequality from tax data, researchers must allocate misreported income (e.g., evasion) to individuals. Misreported income, however, is not directly observed. Recovering true income therefore requires identifying assumptions about the joint distribution of true income and reporting, and these assumptions can substantially change estimated top income shares. A central reason is that membership in the reported top group is selected on compliance, an unobservable, so the composition of the reported top depends on assumptions the data alone cannot settle. We develop a computational framework that makes these assumptions explicit and clarifies how they shape estimates of inequality.We show that …

Exploit Machina, Andrea Matwyshyn

Faculty Scholarship

Over half a century ago, Hannah Arendt cautioned us to “think what we are doing” when we build new technologies. Engaging with her counsel and a set of historical case studies, this Article frames what it calls exploit machina problems. Exploit machina refers to situations where broken technologies and broken governance combine to irreparably harm the public. In other words, exploit machina involves organizational choices to knowingly leverage technology as part of legally problematic conduct, including various forms of fraud. In the language of data science, exploit machina situations implicate strategic decisions in building and managing artificial intelligence (AI); they …

Goods, Practices, Excellence, And The Law: Steps To An Internal Theory Of Value, Rowan Gray

CMC Senior Theses

Practices are the coherent and complex social activities we spend much of our lives engaging in. This category encompasses everything from figure skating to wine-tasting to friend relationships. We gain immense value from participating in practices, and philosophers have articulated a number of accounts for where the value emerges from and how we can best experience it. Many of these theories are ‘externalist’, because they posit that value is incidental to practices and emerges from outside of them.

In contrast, this thesis will argue that the value in practices is internal to each practice. The value comes from each practice’s …

When Climate Change Forces Flight: Legal Duties In The Age Of Retreat, Mark P. Nevitt

Faculty Articles

In the face of climate-driven disasters, government officials and individuals alike must decide whether to invest in climate-exposed areas or retreat. This Article analyzes emerging legal and policy issues associated with both climate retreat (when the government relocates people and infrastructure away from climate-exposed areas) and abandonment (when individuals leave climate-exposed areas, following natural disasters or otherwise). I argue that government-driven climate retreat must consider four overlapping legal duties, raising novel questions in an era of climate destabilization. First, does the government have an affirmative duty to rescue its citizens, and is this duty transformed by the government’s role in …

Llm-Assisted Legal Propositions Identification From Party Arguments In The U.S. Supreme Court Briefs, Heng Zheng, Alex Zhang

Faculty Scholarship

Merits briefs are central to U.S. litigation, serving as the primary means for parties to present arguments and persuade judges. Legal propositions in these merits briefs are the atomic units of arguments, whose relationships evolve throughout litigation and inform court decisions and precedent. Large language models (LLMs) have been applied to legal document review, but there is limited evidence on their ability to identify legal propositions in merits briefs. Given the labor-intensive nature of the task, we evaluate a human-AI collaborative approach to identifying legal propositions in the U.S. Supreme Court merits briefs, in which legal annotators review and revise …

How To Evaluate Non-Majority Control: What History And Statutes Tell Us—Part Ii: The Definitional Consensus, J. Travis Laster

Fordham Journal of Corporate & Financial Law

This Article and a companion piece explore the claim that the functional school was novel and anomalous. The companion article examines the approaches that courts have historically taken when evaluating non-majority control (the “Historical Article”). The Historical Article demonstrates that functionalism has been the dominant approach since at least 1912, while the formal school is a recent innovation. Its tenets emerged in 2006 and coalesced in a recognizable framework around 2014. The Historical Article identifies the core claims of the two schools. 

This Article examines statutory definitions of control. It focuses on statutory regimes that use the concept of control …

Agriculture And Commodities: Commodities Outside The Jurisdiction And Expertise Of The House And Senate Agriculture Committees, Helena Rowe

Student Works

No abstract provided.

Decomposing Shadow Prices Under Climate-Driven Growth Scenarios: Insights From An Elk Herd Case Study, Ranjit Bawa, Drew Bennett, Wai Yan Siu, Bailey Kirkland, David Finnoff, Jacob Hochard

ODU Articles

Natural capital accounting provides a framework for integrating ecological processes with economic valuation, but the mechanics of shadow price formation often remain opaque to resource managers and policymakers. Using the Clarks Fork elk herd in northwestern Wyoming as a case study, we decompose the shadow price of natural capital into its ecological, economic, and institutional components. Population dynamics are estimated using a linearized Ricker model and projected forward using a logistic projection, incorporating climate-driven reductions in intrinsic growth rates. These ecological scenarios are linked to a shadow pricing formulation that explicitly accounts for marginal benefits, harvest policy responses, discounting, and …

Export Controls As Intellectual Property Regulation, Doni Bloomfield

Faculty Scholarship

Export-control laws have long regulated information created outside of the U.S. government. Legal scholars have paid little attention to these national-security laws, and have not recognized that the government uses them specifically to assert a right to suppress information held in patent applications and trade secrets. In this Article, I present a new history of the relationship between export controls and intellectual property to show how the government regulates IP transfers, and how the state uses IP laws to national-security ends. Export-control laws regulate IP by controlling how people in the United States and beyond can share or use inventive …

Normative Jurisprudence & Good Government, Zachary A. Chin

Student Works

No abstract provided.