ResidentialColleges
Residential colleges are a type of on-campus student residence in which the academic experience is integrated into residential life, creating communities and opportunities for learning outside the classroom among a diverse student body.
Fourth Amendment Equilibrium Adjustment in an Age of Technological Upheaval
The Digital Fourth Amendment is written by Professor Orin Kerr, one of the country’s foremost authorities on the Fourth Amendment, electronic privacy, and criminal procedure. Kerr’s work has been deeply influential in shaping how courts are looking at and deciding...
Principles alone cannot guarantee ethical AI
Constitutions of Ice and Fire
This world is vast, dangerous, and dying. You take your first steps, uncertain of who you are, where you are going, or who is responsible for the conditions in which you find yourself. You can learn more, but you will...
AI-generated works and copyright law: towards a union of strange bedfellows
Journal Article AI-generated works and copyright law: towards a union of strange bedfellows Get access Emmanuel Salami Emmanuel Salami Email: Emmanuel.Salami@outlook.com. Search for other works by this author on: Oxford Academic Google Scholar Journal of Intellectual Property Law & Practice,...
Machine Learning in Financial Risk Assessment for Investment Decisions
HOW RFK’S RECENT COURT BATTLES TO GET ON (AND OFF) THE BALLOT EXEMPLIFY WHY A THIRD-PARTY CANDIDATE WILL NEVER WIN THE PRESIDENCY - Minnesota Law Review
By: Sophia Antonio, Volume 109 Staff Member Former presidential candidate, Robert F. Kennedy Jr. (RFK), dominated the summer news cycle with bizarre controversies. [1] RFK dropped out of the presidential race, where he ran as a third-party candidate, on August...
A Comparative Study of Undue Influence and Unfair Conduct in Contract Law Using NLP and Knowledge Graphs: Bridging Common Law and Chinese Legal Systems Through Computational Legal Intelligence
This study explores intelligent identification methods for undue influence and grossly unfair clauses from the cross-perspectives of artificial intelligence and comparative contract law, focusing on the integration of intelligent text analysis and legal knowledge graph technology. By constructing a dual...
THE REGULATION OF THE USE OF ARTIFICIAL INTELLIGENCE (AI) IN WARFARE: between International Humanitarian Law (IHL) and Meaningful Human Control
The proper principles for the regulation of autonomous weapons were studied here, some of which have already been inserted in International Humanitarian Law (IHL), and others are still merely theoretical. The differentiation between civilians and non-civilians, the solution of liability...
A predictive performance comparison of machine learning models for judicial cases
Artificial intelligence is currently in the center of attention of legal professionals. In recent years, a variety of efforts have been made to predict judicial decisions using different machine learning models, but no realistic performance comparison between them is available....
Marketplace of Ideas, Privacy, and the Digital Audience
ARTICLE Marketplace of Ideas, Privacy, and the Digital Audience Alexander Tsesis* The availability of almost limitless sets of digital information has opened a vast marketplace of ideas. Information service providers like Facebook and Twitter provide users with an array of...
Data augmentation for fairness-aware machine learning
Researchers and practitioners in the fairness community have highlighted the ethical and legal challenges of using biased datasets in data-driven systems, with algorithmic bias being a major concern. Despite the rapidly growing body of literature on fairness in algorithmic decision-making,...
Revolutionizing healthcare: the role of artificial intelligence in clinical practice
Pricing Solar Development Options
Introduction I see the sun, and if I don’t see the sun, I know it’s there. And there’s a whole life in that, in knowing that the sun is there. —Fyodor Dostoevsky The time to…The postPricing Solar Development Optionsappeared first...
The Selective Labels Problem
Evaluating whether machines improve on human performance is one of the central questions of machine learning. However, there are many domains where the data is <i>selectively labeled</i> in the sense that the observed outcomes are themselves a consequence of the...
INTERNATIONAL LAW BASES OF REGULATION OF ARTIFICIAL INTELLIGENCE AND ROBOTIC ENGINEERING
The article discusses the features of international legal regulation of the development and application of artificial intelligence and robotics in the world. The focus of international organizations on maintaining an optimal balance between the interests of society and the state...
Curbing Private Enforcement of the Voting Rights Act: Thoughts on Recent Developments
For decades, private plaintiffs have brought claims to enforce key provisions of the Voting Rights Act (VRA). Recent decisions have tossed out these claims on the ground that enforcement authority lies solely with the Attorney…The postCurbing Private Enforcement of the...
AI-based Legal Technology: A Critical Assessment of the Current Use of Artificial Intelligence in Legal Practice
In recent years, disruptive legal technology has been on the rise. Currently, several AI-based tools are being deployed across the legal field, including the judiciary. Although many of these innovative tools claim to make the legal profession more efficient and...
Assembly-Line Public Defense
Each year, millions of Americans rely on public defenders to fulfill their Sixth Amendment right to counsel. Despite being the linchpin of the criminal justice system, public defense remains both underfunded and understudied. This Article provides empirical analysis to contribute...
Governance in Ethical, Trustworthy AI Systems: Extension of the ECCOLA Method for AI Ethics Governance Using GARP
Background: The continuous development of artificial intelligence (AI) and increasing rate of adoption by software startups calls for governance measures to be implemented at the design and development stages to help mitigate AI governance concerns. Most AI ethical design and...
The Difference Narrows: A Reply to Kurt Lash
ARTICLE The Difference Narrows: A Reply to Kurt Lash Randy E. Barnett* & Evan D. Bernick** We thank the Notre Dame Law Review for allowing us to respond to Kurt Lash’s reply to our critique of his interpretation of the...
Career Services for Employers
2026 Winter Mingle January 28th, 2026 at the Music City Center in Nashville, TNThis year’s Winter Mingle will take a slightly different approach, bringing together all VLS students for the event. It’s an excellent opportunity to connect with students and...
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Publications
Vanderbilt Law Review Environmental Law Policy Annual Review Vanderbilt Journal of Entertainment and Technology Law Vanderbilt Journal of Transnational Law Social Justice Reporter
Text and Data Mining, Generative AI, and the Copyright Three-Step Test
Abstract In the debate on copyright exceptions permitting text and data mining (“TDM”) for the development of generative AI systems, the so-called “three-step test” has become a centre of gravity. The test serves as a universal yardstick for assessing the...
The player, the programmer and the AI: a copyright odyssey in gaming
Abstract The advancement of machine learning and artificial intelligence (AI) technology has fundamentally altered the production and ownership of works, including video games. That is because, with the development of AI systems, machines are now capable of not only producing...
Automated Data Bias Mitigation Technique for Algorithmic Fairness
Machine learning fairness enhancement methods based on data bias correction are usually divided into two processes: The determination of sensitive attributes (such as race and gender) and the correction of data bias. In terms of determining sensitive attributes, existing studies...
Ethical Considerations in AI: Bias Mitigation and Fairness in Algorithmic Decision Making
The rapid integration of artificial intelligence (AI) into critical decision-making domains—such as healthcare, finance, law enforcement, and hiring—has raised significant ethical concerns regarding bias and fairness. Algorithmic decision-making systems, if not carefully designed and monitored, risk perpetuating and amplifying societal...