Recent Articles in Volume 28, Number 2 (2025)
By Patricia E. Campbell – 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 most significant involves a circuit split over whether the “material alteration theory” applies in criminal cases. The material alteration theory has been widely accepted in civil actions and holds that selling items bearing genuine trademarks constitutes trademark infringement where the items have been materially altered and purchasers are not informed about the alterations. []
By Shai Dothan and Gregor Mau膷ec – There is ample evidence that people are not completely rational. They suffer from a series of biases that limit their abilities to make the best decisions and to stick to them. Judges are a unique group of people. They go through many years of training that counter some of these biases, but not all of them. In fact, there is a whole field of research dedicated to predicting how judges, with their human flaws, are going to behave. But today, judges can use an increasing number of artificial intelligence (AI) tools to assist with their craft, particularly with research and with writing. Technology offers judges the possibility of transcending their human flaws and letting machines produce flawless legal texts. As tempting as this vision sounds, this paper warns that it may quickly turn dystopic. []
By Michael J. Malinowski – United States’ technology transfer law and policy (TTLP) integrates government, academia, and industry—a “triple-threat” research and development (R&D) methodology—and harnesses commercial incentives to stimulate market application of federal government-funded invention. TTLP, which has proven a potent catalyst for remarkably prolific biomedical R&D since Congress enacted its cornerstone legislation in 1980, is transforming U.S. medicine to molecular medicine—to personal genome medicine (PGM)—in real time. A genomics (gene function in the context of an organism’s entire genome, meaning its full set of genetic instructions) complement to the Human Genome Project (HGP) emerged in the 1990s. Genomics has given rise to a portfolio of “omics” fields that represent a biomedical research perspective shift over the last two decades to multifaceted systems of biology on the molecular level, with simultaneous analysis of thousands of molecules and the way they influence each other. []
By Kevin E. Noonan and Andrew W. Torrance – A pivotal year for biotechnology patent law, 2024 was marked by consequential court rulings and evolving legal frameworks. This article surveys the ten most significant judicial decisions impacting biotech patents, highlighting major themes and trends in policy, litigation, and regulation. Courts at all levels grappled with core patentability requirements in the life sciences, from the Supreme Court’s continued laissez-faire stance on subject-matter eligibility to the Federal Circuit’s stringent enforcement of disclosure sufficiency rules. []
By James M. Cooper and Kashyap Kompella – 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 that such systems are not merely tools, they are sites of public power and instruments that increasingly drive and govern public administration. []