Academics
Vanderbilt University is a globally renowned center for scholarly research, informed and creative teaching, and service to the community and society at large. The Vanderbilt community is committed to the highest academic standards, a spirit of intellectual freedom and a...
Natural Language Processing for Legal Texts
Almost all law is expressed in natural language; therefore, natural language processing (NLP) is a key component of understanding and predicting law. Natural language processing converts unstructured text into a formal representation that computers can understand and analyze. This technology...
Career Services
Vanderbilt Law School’s Career Services Team provides students with the resources and support they need to achieve their career goals. Career counselors meet individually with students on a regular basis to learn how to develop resumes, emphasize strengths, and identify...
Why fairness cannot be automated: Bridging the gap between EU non-discrimination law and AI
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...
Putting AI Ethics into Practice: The Hourglass Model of Organizational AI Governance
The organizational use of artificial intelligence (AI) has rapidly spread across various sectors. Alongside the awareness of the benefits brought by AI, there is a growing consensus on the necessity of tackling the risks and potential harms, such as bias...
Auditing of AI in Railway Technology – a European Legal Approach
Abstract Artificial intelligence (AI) promises major gains in productivity, safety and convenience through automation. Despite the associated euphoria, care needs to be taken to ensure that no immature, unsafe products enter the market, especially in high-risk areas. Artificial intelligence systems...
Fall 2025 Book Symposium – Serena Mayeri’s Marital Privilege: Marriage, Inequality, and the Transformation of American Law | Law Review
Exempt but Not Immune: Why the Section 501(c)(3) Tax Exemption Amounts to Federal Financial Assistance and Demands that Private Schools Comply with Title IX lawreview - Minnesota Law Review
By ELLEN BART. Full Text. Title IX of the Education Amendments Act of 1972 (Title IX) prohibits discrimination on the basis of sex in education programs and activities that receive federal financial assistance and ensures that federal funds are not...
Rethinking copyright exceptions in the era of generative AI: Balancing innovation and intellectual property protection
AbstractGenerative artificial intelligence (AI) systems, together with text and data mining (TDM), introduce complex challenges at the junction of data utilization and copyright laws. The inherent reliance of AI on large quantities of data, often encompassing copyrighted materials, results in...
Data Science Data Governance [AI Ethics]
This article summarizes best practices by organizations to manage their data, which should encompass the full range of responsibilities borne by the use of data in automated decision making, including data security, privacy, avoidance of undue discrimination, accountability, and transparency.
Current Issue - Minnesota Law Review
Articles, Essays, & Tributes Notes Headnotes Volume 110: Fall Issue Volume 108: Symposium Supplement De Novo Blog Tweets by MinnesotaLawRev barne102 - Minnesota Law Review
Volume 2025, No. 6
Adjudicating De Facto Parentage by Stephanie L. Tang; Behind the Bench: Unmasking the Judicial Role in North America’s Prolonged Access to Justice Crisis by Brajesh Ranjan; Abuse Victims Are Not Sleeping Away Their Day in Court: Claim Preclusion and Wisconsin...
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Undergraduate Research at Vanderbilt
Upcoming Events MORE » Recent News Louisiana v. Callais and the Future of the Voting Rights Act Vanderbilt Kennedy Center announces 2025–26 Nicholas Hobbs Discovery Award recipients Vanderbilt engineers debut breakthrough wearable that reduces body armor burden Innovative drug delivery...
Volume 2025, No. 4
How Not to Democratize Algorithms by Ngozi Okidegbe; Missing Children Discrimination by Itay Ravid & Tanisha Brown; Justifications for Fair Uses by Pamela Samuelson; Section Three of the Fourteenth Amendment from the Perspective of Section Two of the Fourteenth Amendment...
Auditing Algorithms for Discrimination
This Essay responds to the argument by Joshua Kroll, et al., in Accountable Algorithms, 165 U.PA.L.REV. 633 (2017), that technical tools can be more effective in ensuring the fairness of algorithms than insisting on transparency. When it comes to combating...
Privacy-Preserving Models for Legal Natural Language Processing
Pre-training large transformer models with in-domain data improves domain adaptation and helps gain performance on the domain-specific downstream tasks. However, sharing models pre-trained on potentially sensitive data is prone to adversarial privacy attacks. In this paper, we asked to which...
Fly in the Face of Bias: Algorithmic Bias in Law Enforcement’s Facial Recognition Technology and the Need for an Adaptive Legal Framework
Wisconsin Law Review’s 2025 Symposium
The Wisconsin Law Review presents: The Shadow Carceral State Registration available here.Date and Time Friday, September 26 9:00am – 5:30pm CDT Location Madison Museum of Contemporary Art 227 State Street Madison, WI 53703 CLE for this event is pending.Summary On...
Letting sleeping wasps lie: general-purpose AI models and copyright protection under the European Union AI Act
Abstract This article addresses two principal research objectives: first, to examine how and to what extent the provisions of the EU AI Act (EUAIA) dedicated to general-purpose artificial intelligence (AI) models (GPAIm) govern the intersection of copyright and AI, through...
Trustworthy AI and Corporate Governance: The EU’s Ethics Guidelines for Trustworthy Artificial Intelligence from a Company Law Perspective
Abstract AI will change many aspects of the world we live in, including the way corporations are governed. Many efficiencies and improvements are likely, but there are also potential dangers, including the threat of harmful impacts on third parties, discriminatory...
Legal Database Renewal in the AI Era: Insights from Eversheds Sutherland’s AI Strategy
Abstract This article, written by Andrew Thatcher , explores Eversheds Sutherland’s approach to integrating generative AI knowledge tools, focusing on their evaluation, onboarding and the subscription management. Rather than debating the broader implications of AI in law, the paper provides...
In search of effectiveness and fairness in proving algorithmic discrimination in EU law
Examples of discriminatory algorithmic recruitment of workers have triggered a debate on application of the non-discrimination principle in the EU. Algorithms challenge two principles in the system of evidence in EU non-discrimination law. The first is effectiveness, given that due...
Computation of minimum-time feedback control laws for discrete-time systems with state-control constraints
The problem of finding a feedback law that drives the state of a linear discrete-time system to the origin in minimum-time subject to state-control constraints is considered. Algorithms are given to obtain facial descriptions of the <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">M</tex> -step...