Science and Technology Law Commons^™

Adversarial Certification Of Evidentiary Software, Nicholas G. Vincent, Bryan H. Choi, Eli Siems, Clay Halbert, Katherine J. Strandburg

Publications

No abstract provided.

Open Secrets, Robin C. Feldman, Vaughn Goehrig

Faculty Scholarship

Patents and trade secrets were never intended to meet, but in the world of biologic drugs, they've become as thick as thieves. Patent law's disclosure requirement has demanded far too little of biologics manufacturers-allowing them to keep vital manufacturing details under trade secret lock and key. This intellectual property patchwork has been devastating for drug affordability: Because the most critical manufacturing information remains hidden, makers of follow-on biologics (called biosimilars) are often stuck reinventing the wheel, even after the original patents have expired.

This Article makes two principal contributions to illuminating this problem. First, it presents, for the first time …

Accounting For Spatial Effects And Social Norms In Making Algorithmic Law: Insights From And Applications In Urban Mobility, Jingkang Gao

Journal of Law and Mobility

This Article examines a prominent idea in the law and technology literature: that algorithms and big data can be used to make law dynamic and personalized. As currently envisioned by legal scholars, “algorithmic law” entails laws that adjust in real time to changing conditions and vary across individuals, improving welfare by tailoring legal rules and standards to personal characteristics.

This Article argues that this vision of algorithmic law is incomplete—and often counterproductive. Existing proposals treat personalization as a function of individual attributes alone, overlooking the fact that effects of individual behavior are fundamentally interactive. Individual behavior is shaped by spatial …

Hacking With Uncle Sam: Imagining A Public-Private Partnership For Active Cyber Defense, Jonathan Coleman

Catholic University Journal of Law and Technology

Federal law makes no distinction between "good" and "bad" hackers—the Computer Fraud and Abuse Act criminalizes hacking by a private citizen in any form. While an anti-hacking statute is necessary to deter and punish cybercrime, the current law prohibits private entities from "hacking back" or, more precisely, from engaging in active defensive measures in response to a cyberattack. If these measures were legalized, they could allow private entities to assist law enforcement and reduce the financial and reputational costs of a cyber incident. Absent a change in the law, private entities are dependent on law enforcement to provide active cyber …

How To Apply Hertz Corp. V. Friend In The Age Of Remote Work, John Andrikos

Catholic University Journal of Law and Technology

The widespread adoption of remote work in the United States has strained the workability of the nerve center test of Hertz Corp. v. Friend. This comment analyzes how federal courts have applied the nerve center test to fact patterns involving partially or fully remote corporations. Further, it proposes a novel solution to this jurisdictional problem: the Key Person Test.

Inconsistencies At The International Trade Commission And The United States Federal District Courts, Christine Dedoulis

Catholic University Journal of Law and Technology

This article will analyze Section 337 of the Tariff Act of 1930, under which the International Trade Commission (Commission) conducts unfair import investigations, as it applies to patent infringement cases. Further, this article will explore different outcomes regarding parallel litigation at the Commission and District Courts, including what remedies are available and the effect of duplicative and inconsistent determinations on the patentee. In light of these comparisons, this article will provide suggestions on how to minimize inconsistencies between the Commission and District Courts, with particular emphasis on determining if some middle ground exists and if a classification system could be …

Hidden In Code: Unmasking Al Bias In Hiring, Katie Rubin

Cardozo Journal of Equal Rights & Social Justice

The note argues that while AI-driven hiring tools offer efficiency, they often automate and amplify systemic biases by relying on flawed historical data, creating a "hidden" form of discrimination. The analysis asserts that existing legal frameworks are inadequate for addressing these algorithmic harms, necessitating urgent federal reforms to ensure transparency and accountability.

Front Matter

SMU Science and Technology Law Review

No abstract provided.

State Ai Therapy Regulations – Analyzing The Illinois Wellness And Oversight For Psychological Resources Act, Natalie Browne

SMU Science and Technology Law Review

According to the Harvard Business Review, the top use case for generative artificial intelligence (AI) in 2025 was therapy and companionship. Accordingly, numerous “therapy-specific” AI tools have hit the market in recent years, vying to fill this growing need. However, individuals are also turning to generic large language models (LLMs), such as ChatGPT, to express their deepest anxieties, seek reassurance, and gather advice. While tech optimists assert that AI therapy tools will extend mental health treatment in care deserts, attention-grabbing headlines about such use cases have shattered communities and shocked legislatures. To address growing concerns about AI therapy, Illinois enacted …

#Influencerinfractions: How Influencers Comply (Or Don’T) With Ftc Guidelines, Christopher Terry, Emma Troha, Anastasia Micich, Cecilia Lausten

Journal of Law, Technology, & the Internet

The Federal Trade Commission (FTC) released endorsement guidelines of sponsored content in 2023, including stipulations of clear and conspicuous disclosure, to combat content disguised as original, while actually having commercial intent. This paper examines compliance with these guidelines among travel influencers on Instagram. Overwhelmingly, influencers are not properly disclosing potential commercial sponsorship in their posts, and even good faith attempts to disclose are more often than not non-compliant with the FTC’s guidelines. Implications of these findings are discussed.

Law Librarianship And Legal Information Science In The Age Of Genai, Paul D. Callister

Faculty Works

This article examines the relationship between law librarianship and legal information science in the age of generative AI (GenAI), arguing that closer integration between the two is essential to navigating a rapidly evolving legal information landscape. It contends that law librarianship—long grounded in stable classification systems and cognitive authority—must adopt the analytical methods of legal information science to remain effective in the digital era. Together, these fields can reinforce the rule of law by improving the organization, retrieval, and stability of legal information. The article identifies emerging subfields of legal information science that support this integration and develops several concepts …

Reclaiming Constitutional Authority Of Algorithmic Power, Yiyang Mei, Michael J. Broyde

Faculty Articles

Whether and how to govern AI is no longer a question of technical regulation. It is a question of constitutional authority. Across jurisdictions, algorithmic systems now perform functions once reserved to public institutions: allocating welfare, determining legal status, mediating access to housing, employment, and healthcare. These are not merely administrative operations. They are acts of rule. Yet the dominant models of AI governance fail to confront this reality. The European approach centers on rights-based oversight, presenting its regulatory framework as a principled defense of human dignity. The American model relies on decentralized experimentation, treating fragmentation as a proxy for democratic …

Human Rights On Pause: Assessing The Cbp Digital Metering Process And Obligations Of Non-Refoulement Beyond Borders, Brandon Delia

Journal of Law, Technology, & the Internet

Migrants are once again being told to wait in line before seeking their right to the asylum process. In 2023, the Biden administration introduced the CBP One app as a new requirement for asylum seekers approaching the US-Mexico border. Not long after, it evolved into a strict legal prerequisite where without a CBP One appointment, migrants faced either immediate turnbacks or, if they nonetheless attempted to seek asylum defensively after entry, expedited removal and a potential five-year bar on reentry. Those who managed to register often waited months in cartel-controlled border towns, risking extortion, kidnapping, or worse. Paired with CBP’s …

Artificial Intelligence And Automated Decision-Making In Employment: The Future Of The Embattled Disparate Impact Theory Of Discrimination Under Title Vii, Daniel S. Alcorn

Journal of Law, Technology, & the Internet

Artificial intelligence now makes core employment decisions—from resume screening and video interviews to promotion and termination—yet Title VII’s disparate impact doctrine was built for paper tests, not black-box models. This Article argues that, while under attack by the Trump Administration and a minority of the U.S. Supreme Court, disparate impact remains indispensable but increasingly inadequate without adaptation. We show how algorithmic opacity frustrates causation, vendor delegation diffuses liability, predictive-accuracy claims distort “business necessity,” and trade-secret barriers impede proof of less-discriminatory alternatives. Drawing on emerging U.S. and comparative regimes, we propose a practical toolkit: (1) treat the algorithmic system as the …

A Law Enforcement Paradigm For The New Form Of Money, Jim Harper

Journal of Law, Technology, & the Internet

Over the last two centuries, transfers of money have evolved from movements of tangible things to digital communications events. Over the last half-century, financial surveillance law has taken root. The product of the two trends is a comprehensive, global financial surveillance regime that has substantial costs in both dollar terms and in values such as privacy, free speech, and autonomy. Those costs appear to vastly outstrip the benefits of such surveillance. Along with its infirmity as policy, general financial surveillance stands on shaky constitutional ground in the United States. It impedes the full development of digital forms of money and …

Artificial Elections: How Artificial Intelligence Can Affect Elections And Decide Our Future, Ryan D. Granger

Honors Undergraduate Theses

This thesis examines the growing role of artificial intelligence (AI) in democratic elections, highlighting both its transformative potential and its associated risks. Drawing on a qualitative analysis of existing literature, the study explores how AI is increasingly integrated into political campaigns, election administration, and voter engagement. Key benefits include enhanced data analysis, personalized political messaging, and improved efficiency in campaign operations. AI also supports real-time fact-checking and more accurate vote tabulation, which can strengthen transparency and trust in electoral processes. However, the thesis emphasizes that these advantages are accompanied by significant challenges. AI technologies enable the rapid creation and dissemination …

The Apathy Economy: Patents, Advertising, And Consumer Indifference, Gavin J. Milczarek-Desai, Derek E. Bambauer

Cardozo Arts & Entertainment Law Journal

Patents function as signals as well as rights to exclude. They inform competitors, investors, employees, and consumers about the invention and its owner. How this information affects consumers is not well understood. Existing studies disagree about how advertising a product or service as patented, or patent pending, affects the price consumers will pay. This Article offers the first major empirical study of that question andfinds that consumers behave with surprising rationality: they will not pay any price premium for a patented product. A product's patent status conveys little information about whether it is superior to competing offerings. The results hold …

Monitoring, Oversight, And Learning In Medical Ai, W. Nicholson Price Ii

Articles

When medical AI errs, it often goes unnoticed. If there’s a specific patient injury, and the link to AI is obvious, that problem might be reported to the Food and Drug Administration (FDA), but not always. And many other types of problems, like worse performance on specific groups or ineffective integration into health system workflows, simply don’t fall within the contours of regularized reporting. Even if they are noticed by the health system—far from a given—there’s no obvious way to share that information more broadly. Against this backdrop, there are justified calls for better oversight and reporting. But there’s the …

The Shifting Economics Of Influencer Sponsorship Disclosures, Uri Y. Hacohen

Cardozo Arts & Entertainment Law Journal

Conventional wisdom holds that disclosing influencer sponsorship diminishes advertising's effectiveness by triggering consumer skepticism. Responding to this perceived transparency gap, regulators have adopted mandatory disclosure regimes to address a perceived market failure: the divergence between private commercial incentives and the public interest in transparency. This Article challenges that assumption. Drawing on a large-scale social media experiment (N=600), it demonstrates that disclosures not only increase consumers' recognition of advertising but also improve their attitudes toward both influencers and brands, while significantly boosting their willingness to share promotional content. These empirical results are further supported by a comprehensive synthesis of the emerging …

Seeing Is Believing? Deepfakes In Financial Markets, Hadar Y. Jabotinsky, Michal Lavi

Cardozo Arts & Entertainment Law Journal

An AI-powered tool recently mimicked Warren Buffett's image and voice so convincingly that even his own family could have been deceived. This striking example highlights the transformative potential of voice cloning and deepfakes. This innovative technology leverages artificial intelligence (AI) to create hyper-realistic audio and video content. By blurring the boundaries between authenticity and synthetic creation, deepfakes make it possible to fabricate moments that never occurred. Recent advancements in AI and user-friendly software have made deepfakes more accessible andfurther contributed to the proliferation of deepfakes, enabling even individuals with minimal technical skills to produce compelling deepfakes at little to no …