Law Commons^™

Design Patent Law's Three Little Words, Mark D. Janis

Indiana Law Journal

U.S. design patent law protects the visual characteristics of articles of manufacture. For many years, major manufacturers of athletic footwear have protected their visually iconic designs with design patents, fueling a global market valued at nearly $100 billion. Today, however, shoe design has arrived in the digital universe. Digital sneakers such as Gucci’s Virtual 25 and Nike’s “Our Force Ones” can be “worn” only in virtual worlds but have substantial real world economic value. Yet U.S. design patent law makes it difficult—some would say impossible—to protect those designs, on the ground that they do not satisfy the statutory requirement for …

Can Ai, As Such, Invade Your Privacy? An Experimental Study Of The Social Element Of Surveillance, Aileen Nielsen

Indiana Law Journal

The increasing use of AI rather than human surveillance puts pressure on two long-used cultural and (sometimes) legal distinctions: as between human and machine observers and as between content and metadata. Machines do more and more watching through advancing technology, rendering AI a plausible replacement for humans in surveillance tasks. Further, machines can commit to surveil only certain forms of information in a way that humans cannot, rendering the distinction between content and metadata increasingly relevant too for crafting privacy law and policy. Yet despite the increasing importance of these distinctions, their legal importance remains in four key domains of …

Ninth Amendment Neurorights, Joseph A. Tomain

Indiana Law Journal

Neurotechnology developments threaten two fundamental human rights: freedom of thought and mental privacy. For example, neuroscientists use brain scans to decode unspoken thoughts and to predict political ideology and sexual orientation. Additionally, they have successfully implanted false memories in the minds of mice. There are undoubtedly beneficial uses of this dual-use technology, such as identifying and treating a variety of medical conditions. But left unchecked, neurotechnology will be exploited by public and private actors alike. There is a growing and contested literature about how the law should respond to the increasing risks of neurotechnology. This Essay contributes to that literature …

The Mirage Of Artificial Intelligence Terms Of Use Restrictions, Peter Henderson, Mark A. Lemley

Indiana Law Journal

Artificial intelligence (AI) model creators commonly attach restrictive terms of use to both their models and their outputs. These terms typically prohibit activities ranging from creating competing AI models to spreading disinformation. Often taken at face value, these terms are positioned by companies as key enforceable tools for preventing misuse, particularly in policy dialogs. The California AI Transparency Act even codifies this approach, mandating certain responsible use terms to accompany models.

But are these terms truly meaningful, or merely a mirage? There are myriad examples where these broad terms are regularly and repeatedly violated. Yet except for some account suspensions …

The Overstated Cost Of Ai Fairness In Criminal Justice, Ignacio Cofone, Warut Khern-Am-Nuai

Indiana Law Journal

The dominant critique of algorithmic fairness in AI decision-making, particularly in criminal justice, is that increasing fairness reduces the accuracy of predictions, thereby imposing a cost on society. This Article challenges that assumption by empirically analyzing the COMPAS algorithm, a widely used and widely discussed risk assessment tool in the U.S. criminal justice system.

This Article makes two contributions. First, it demonstrates that widely used AI models do more than replicate existing biases—they exacerbate them. Using causal inference methods, we show that racial bias is not only present in the COMPAS dataset but also worsened by AI models such as …

Regulating Healthcare Coverage Algorithms, Jennifer D. Oliva

Indiana Law Journal

American healthcare facilities and providers increasingly rely on algorithmic tools to support clinical decision-making, standards of care, and institutional practices related to patient diagnosis and treatment. This development has been characterized as both “promising” and “peril[ous].” Healthcare algorithms are intended to improve and standardize healthcare decision-making, but they also are capable of exacerbating bias and discrimination and, thus, contributing to the delivery of inequitable care for already disadvantaged groups.

Whose Bot Is It Anyway? Determining Liability For Ai-Generated Content, John G. Browning

Northern Illinois University Law Review

As Chief Justice John Roberts noted in his State of the Judiciary address in late December 2023, artificial intelligence has not only had a seismic effect on society and the legal profession, but it is also presenting courts with novel questions to resolve. To date, most of the legal scholarship discussing generative AI has focused on areas like the ethical dimensions of its use, copyright infringement implications, AI governance issues, and the evidentiary questions raised by the use of this technology. However, a void in the scholarship exists with respect to the question of who should be liable for AI-generated …

Avoiding Dupe Process, Kevin Frazier

Northern Illinois University Law Review

Advances in artificial intelligence (AI) combined with increased documentation of human overreliance on AI recommendations demands a reexamination of content moderation processes. Social media platforms—reacting to internal values, social pressure, regulatory mandates, or some combination of all three—have carried over procedural due process norms to content decisions. One common procedural protection is a “human-in-the-loop” (HITL) requirement. These requirements insist that a human provide some oversight role prior to an automated decision becoming final.

A review of the core values of due process—namely, accuracy, fairness, legitimacy—and the nature of hybrid decisional frameworks—those that involve AI and human inputs—show that HITL requirements …

The Emerging Danger Of Ai-Generated Child Sexual Abuse Material And An Unprepared Criminal Code, Jessica L. Terkovich

Northern Illinois University Law Review

The development and dissemination of child sexual abuse material (“CSAM”) using artificial intelligence (“AI”) is becoming easier and easier with technological advancements. This Article argues that traditional child pornography statutes should be extended to encompass fully AI-generated images. The Article outlines the history of the nation’s current federal CSAM laws and details the results of a nationwide survey of statutes which determined that few states have effective laws on the books regarding AI-generated CSAM. This Article also offers recommendations for constructing effective laws against AI-generated CSAM and concludes that harm comes from the very existence of CSAM, no matter how …

Facial Recognition Ai, Margaret Hu

Faculty Publications

The integration of algorithmic decisionmaking and artificial intelligence (“AI”) into facial recognition technology poses new, unprecedented risks to privacy and individual autonomy rights, particularly in urban settings. The murder of Brian Thompson, CEO of UnitedHealthcare, in New York City on December 4, 2024, provides a timely case study to examine the deployment of facial recognition systems by the New York Police Department and other law enforcement agencies to identify the suspect. New York City deploys some of the most sophisticated surveillance architecture in the nation, put into place following the terrorist attacks of September 11, 2001. This Article explores the …

How Domestic Institutions Shape The Global Tech War, Anu Bradford, Eileen Li, Matthew C. Waxman

Faculty Scholarship

The United States (U.S.), China, and the European Union (EU) are engaged in a national security-driven economic competition over advanced technology. Many scholars and commentators focus on the external dimension of this geopolitical contest; that is, they describe the strategic choices by each actor in terms of geopolitical realities, threat perceptions, and relative power. However, this Article brings to the fore the internal dimension of the global tech war. We argue that each player’s strategy in the tech war is a function of its internal features, including basic constitutional powers, domestic legal institutions, and the relationships between the government and …

The Impact Of Artificial Intelligence On Access To Justice: Predictive Analytics And The Legal Services Market, Matthew Dylag

Dalhousie Law Journal

This paper examines how developers of predictive analytics—a technology using artificial intelligence (AI) to predict the outcomes of legal disputes—position their product vis-à-vis access to justice. In particular, it examines how two companies market their software to better understand how this technology is being integrated into the legal services market and to comment on the software’s potential impact on access to justice. The first part of this paper reviews the access to justice landscape and examines existing critiques of AI supported technology from an access to justice perspective. The second part briefly outlines the scope and design of the study, …

The Complex Interplay Between Intellectual Property And The Right To Science, Peter K. Yu

Faculty Scholarship

In April 2020, the U.N. Committee on Economic, Social and Cultural Rights released General Comment No. 25, which provides an authoritative interpretation of the right to science—a right that has hitherto not received much attention. In light of this publication and the recent celebration of the 75th anniversary of the Universal Declaration of Human Rights, this article examines the complex interplay between intellectual property and the right to science, with a view toward the human rights challenges brought about by both the COVID-19 pandemic and the arrival of generative AI.

The article begins by documenting the historical evolution of the …

Ai For Good: Expanding Legal Services For Immigrants, Huyen Pham, Bryan Garcia

Faculty Scholarship

In this Essay, we explore the possibilities for putting AI technology in the hands of clients themselves, considering the advantages and disadvantages. Thinking about the specific context of immigration law, we could envision apps that help individuals to prepare for interviews for affirmative asylum, visas, or naturalization; to educate them about their rights in ways that are more specific, timely, and convenient than current know-your-rights formats; or, in a more attorney-adjacent interaction, using an app to conduct the initial intake interview and organize that information, making the usual time-consuming intake process more efficient and effective. We are not envisioning apps …

Techno-Geopolitics And Semi-Conductor Chokepoints: Beyond The Us-China Wto Dispute, Han-Wei Liu, Ching-Fu Lin

Research Collection Yong Pung How School Of Law

Much ink has been spilled on the US-China tech and trade war, particularly the role of US export controls in containing China and preserving America’s tech dominance. Less attention, however, has been paid to other critical nodes in the global semiconductor supply chain – Taiwan, South Korea, Japan, and the Netherlands – which we coin as ‘chokepoint economies’. Taiwan alone produces over 90% of the world’s most advanced chips, vital to the digital age and the future of AI in the Indo-Pacific and beyond. Using Taiwan as a case study, this paper shows how chokepoint economies navigate competing pressures amid …

Facial Recognition Technology: The Case For Comprehensive Federal Oversight, Christopher Hart

Journal of the National Association of Administrative Law Judiciary

This article will argue that regulations for government agency use of FRT should be stringent and limit the exploitation of personal biodata in the private sector. Instead of creating a new agency, Congress could expand an existing agency’s responsibility by granting it regulatory power over facial recognition technology. First, this article will seek to delineate the contours of facial recognition technology and its contemporary application within the United States. Then, this article will analyze the intricacies of FRT in both the public and private sectors. Within the public domain, specific attention will be devoted to discussing the use of FRT …

Foia And The Use Of Ai In Government: Freedom Of Information Or An Empty Promise Of Openness?, Ronald L. Capaldi

Journal of the National Association of Administrative Law Judiciary

No abstract provided.

How Experts View The Legal System's Use Of Scientific Evidence, Shari Seidman Diamond, Richard Lempert

Articles

Legal scholars and courts frequently write about how scientific evidence is vetted and presented in legal proceedings, but the views of experts themselves have received little attention. Our research aims to fill that gap. This paper reports some of what we learned from a series of surveys we conducted, beginning with a survey in 2016 of scientists who had been elected to membership in the American Academy of Arts and Sciences.3 Subsequent surveys were directed to subscribers of the journal Science who identified as scientists and engineers and to self-identified experts who advertised their availability as experts to lawyers or …

Selected Artificial Intelligence Provisions In U.S. Fiscal Year 2025 National Defense Authorization Act, Bert Chapman

Libraries Faculty and Staff Presentations

The 2025 Fiscal Year National Defense Authorization Act contains multiple provisions relating to artificial intelligence (AI). These congressionally mandated provisions direct various sections of the Department of Defense (DOD) and individual U.S. armed service branches to execute congressional intent for AI policymaking. Examples of such intent include identifying and planning DOD's AI workforce, demonstrating AI biotechnology applications for national security, improving the human usability of AI systems, and establishing an AI security center. This presentation will note that reports on these initiatives must be prepared for relevant congressional oversight committees, and, in many cases, are in many cases, publicly released …

Requiem For The Eu: The Internal Costs Of The Brussels Effect And The Digital Services Act As Case Study, Jordan Smith

The Journal of Business, Entrepreneurship & the Law

The high levels of regulation of the European Union (EU) have been praised as a means of maintaining Europe’s relevance and influence on a global scale, which Professor Anu Bradford has termed “the Brussels Effect.” However, these pervasive regulations can also be characterized as roadblocks to Europe’s own economic growth and threats to its own commitment to democratic values. This paper will survey several ways in which Europe’s pervasive regulations are impacting its long-term wellbeing and then specifically examine a new EU regulation in the tech sector: The Digital Services Act.

Montana Environmental Information Center V. Montana Department Of Environmental Quality, Alexis Karbowicz

Public Land & Resources Law Review

No abstract provided.

Institutional Constraints And The Ai Automation Gap: A Case Study Of Proposal Evaluation In Federal Ict Procurement At U.S. Customs And Border Protection, Farhan Bin Amjad

Harrisburg University Dissertations and Theses

This research investigates the institutional constraints shaping the adoption of AI-assisted proposal evaluation in federal ICT procurement, using U.S. Customs and Border Protection (CBP) as a case study. Although AI tools are increasingly used by contractors to generate proposals, their integration into government evaluation processes remain limited. Using institutional theory as an analytical framework, this study examines how regulative rules, normative expectations, and cognitive assumptions jointly reinforce a risk-averse procurement culture that inhibits automation. Through a mixed-methods approach—comprising policy analysis, procurement data from FPDS and USAspending.gov, and an elite interview with a CBP contracting officer—the research identifies key barriers to …

America’S Rampant Gun Epidemic: How 3d Printers Are Only Adding Fuel To The Fire, Haley Lustbader

Journal of Law and Policy

The assassination of the United Healthcare CEO in December of 2024 captivated national attention, specifically over the killer’s use of a homemade three dimensional (“3D”) printed gun. The use of 3D printing poses a breadth of opportunity for useful and valuable innovation across a variety of fields, such as allowing advancements in medical technology. However, with technology expansion comes associated risk and, in this case, that risk is the potential for increased presence of illegal firearms. Anyone with access to a 3D printer can download the necessary files and print weapon parts to create their own unregistered, untraceable firearms, including …

Unveiling The Underbelly Of Artificial Intelligence: The Inadequacies Of The Legal System With Regard To Victims Of Nonconsensual Sexual Deepfakes, Zilana Lee

Journal of Law and Policy

Artificial intelligence-powered deepfake technology has ushered a new era of digital sexual abuse, allowing for the seamless fabrication of explicit images that violate bodily autonomy with alarming realism. With little more than a photograph scraped from social media, individuals can use AI tools to fabricate hyper-realistic nude images and pornographic videos of people without their consent. These nonconsensual sexual deepfakes are rapidly spreading online, often going viral before victims are even aware of their existence. The technology can affect anyone, but women and girls remain disproportionately targeted. Recent incidents involving minors highlight both the reach and severity of this harm. …

Automation Mismatch: How Contractor Ai Adoption Challenges Institutional Procurement Norms At U.S. Customs And Border Protection (Cbp), Farhan Bin Amjad

Beyond the Project Horizon: Journal of the Center for Project Management Innovation

This letter explores a growing strain in the U.S. federal procurement: the automation mismatch between AI-powered proposal development by contractors and the regulation-bound evaluation systems at agencies like U.S. Customs and Border Protection (CBP). Tools like Vultron and Unanet AI have enabled federal contractors to increase proposal submission volume, yet institutional constraints such as data sensitivity, budget limitations, and cultural barriers have hindered equivalent modernization on the government side. This article leverages institutional theory and prior research to analyze this disparity, highlighting how legal and cultural factors limit AI integration in procurement. Detailed analysis of these regulatory and cultural influences …

Ai Inventorship: Recognizing The True Inventors Requires Change, Nicholas Scambia

St. John's Law Review

(Excerpt)

The Analytical Engine was conceived almost two hundred years ago—a general-purpose programmable computing engine which had essential features resembling a modern-day computer. While truly a marvel for its time, the Analytical Engine lacked the ability to perform functions on its own, as it was only able to do tasks for which it was programmed.

Today, artificial intelligence (“AI”) has become increasingly popular and powerful and is projected to keep growing. AI demonstrated its autonomous strength to the whole world on national TV when IBM’s Watson competed on Jeopardy!, beating the game show’s legends Ken Jennings and Brad Rutter. Since …

Robots And (Indian) Reservations: A Jurisdictional Nightmare Waiting To Happen, Adam Crepelle

Northwestern Journal of Technology and Intellectual Property

Advances in artificial intelligence are expanding the possibilities of robots. Indeed, robots are now engaging in numerous activities previously thought to require human cognition, such as driving cars and diagnosing diseases. Scholars have published numerous articles examining the intersection of law and robots across myriad fields. However, legal scholarship has yet to explore the relationship between robots and federal Indian law. This is a significant oversight because there are 574 federally recognized tribes and over fifty-six million acres of Indian country. Thus, legal issues involving tribes and robots are inevitable. This is the first law review article dedicated to exploring …

Who Holds The Hammer? A Private Ordering Framework As The Key To Carpenter’S Privacy Puzzle, Matthew Green

Northwestern Journal of Technology and Intellectual Property

This Note builds on the Supreme Court’s reasoning in Carpenter v. United States, suggesting that its technology-specific approach may be insufficiently elastic to address the complexities of modern data privacy. Through an analysis of several exemplars, this Note advocates for a private ordering framework—where data collectors respond to consumer expectations of privacy through self-regulating practices—as a more adaptive and effective means of safeguarding digital privacy. This approach preserves the third-party doctrine while reducing the burden on courts to draw technological boundaries in a rapidly evolving digital environment.

Children’S Privacy In Xr Applications – A Rights-Based Approach, Witzleb, Normann

Santa Clara High Technology Law Journal

In the extended reality (XR) of Metaverse applications, several innovative technologies converge and interconnect to blur the lines between the digital and physical worlds. The seamless operation of XR applications requires the collection and processing of huge quantities of data, including personal data, to give users a truly immersive virtual experience. One of the major intended user groups of the Metaverse are children, who increasingly use XR spaces to learn, play, create content, and engage in a wide range of other activities. This article considers the challenges to safeguarding children’s privacy in this evolving digital landscape and makes recommendations for …

The Rising Returns To R&D: Ideas Are Not Getting Harder To Find, Yoshiki Ando, James Bessen, Xiupeng Wang

Faculty Scholarship

R&D investment has grown robustly, yet aggregate productivity growth has stagnated. Is this because “ideas are getting harder to find”? This paper uses micro-data from the US Census Bureau to explore the relationship between R&D and productivity in the manufacturing sector from 1976 to 2018. We find that both the elasticity of output (TFP) with respect to R&D and the marginal returns to R&D have risen sharply. Exploring factors affecting returns, we conclude that R&D obsolescence rates must have risen. Using a novel estimation approach, we find consistent evidence of sharply rising technological rivalry. These findings suggest that R&D has …