Labor & Employment

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...

For a document that is usually found behind glass casing in museums and galleries, many have taken advantage of the ability to carry it in their purse, wallet—or better yet—their pocket. The US Constitution is one of the oldest and...

The Vanderbilt Law School community includes more than 9,400 alumni who live and practice in 50 states, Washington, D.

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...

Quick Guide Prospective Undergrads Prospective Grad & Professional Current Students Faculty & Staff Job Seekers Alumni & Friends Undergraduate Admissions Financial Aid & Scholarships Academics Find Your Major Schools & Colleges Student Life Plan a Visit Undergraduate Research Athletics -...

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...

This paper divides the application of AI in education into three categories, namely, students-oriented AI, teachers-oriented AI and school mangers -oriented AI, which focuses on the individualized self-adaptive learning of students, the assisted teaching of teachers and the service management...

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...

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...

In recent years, there has been a proliferation of papers in the algorithmic fairness literature proposing various technical definitions of algorithmic bias and methods to mitigate bias. Whether these algorithmic bias mitigation methods would be permissible from a legal perspective...

Machine learning models have become pervasive in our everyday life; they decide on important matters influencing our education, employment and judicial system. Many of these predictive systems are commercial products protected by trade secrets, hence their decision-making is opaque. Therefore,...

The use of machine learning algorithms has permeated into nearly all aspects of life. With this steady integration, tasks previously handled by humans are increasingly falling into the ‘hands’ of machines. Ideally this would be celebrated as a great improvement...

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...

Abstract The widespread usage of machine learning systems and econometric methods in the credit domain has transformed the decision-making process for evaluating loan applications. Automated analysis of credit applications diminishes the subjectivity of the decision-making process. On the other hand,...

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...

This article examines the impact of artificial intelligence (AI) on copyright and related rights in the context of today’s digital environment. The growing role of AI in creativity and content creation creates new challenges and questions regarding ownership, authorship and...

2025-26 Academic Calendar Please note: All times in U.S. Central. EventDate / Time First Registration Appointment Window (all 3Ls)June 16 (YES opens at 12:35 PM) thru June 22 (YES closes at 11:59 PM) Second Registration Appointment Window (all 2Ls/3Ls)June 23...

China’s regulatory approaches to open-source resources and software deserve special attention due to the widespread global use of Chinese-developed solutions. China’s activity in the open-source software sector surged in 2020, laying the foundation for the type of innovations seen today....

Empirical evidence is mounting that artificial intelligence applications threaten to discriminate against legally protected groups. This raises intricate questions for EU law. The existing categories of EU anti-discrimination law do not provide an easy fit for algorithmic decision making. Furthermore,...

Vanderbilt Law School's Ph.D. Program in Law and Economics is unlike any other. Dual-degree students pursue a J.D. and a Ph.D. concurrently in a fully integrated curriculum that combines economic theory and methodology with the study of law. The program...

Machine learning models, as tools of artificial intelligence, have an increasingly strong potential to become an integral part of judicial decision-making. However, the technical limitations of AI systems—often overlooked by legal scholarship—raise fundamental questions, particularly regarding the preservation of the...

Undergraduate Admissions Graduate & Professional Admissions Financial Aid

This article delves into the legal challenges faced in developing and deploying Natural Language Processing (NLP) technologies, focusing particularly on the European Union’s legal framework, especially the DSM Directive, the InfoSoc Directive, and the Artificial Intelligence Act. It addresses the...

By: Alyssa Shaw, Volume 109 Staff Member If the progress towards closing the gender wage gap continues on the trends of the last few years, women will not be compensated equally to men until at least 2067—over a century after...

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...

Abstract The increasing use of artificial intelligence in video game development, particularly through advanced procedural content generation, challenges traditional copyright frameworks. While AI-generated content is now integral to enhancing efficiency and player experience, its copyright status remains disputed, especially regarding...

This article explores the transformative impact of artificial intelligence on legal knowledge work, examining the evolution from traditional document-centric processes to sophisticated AI-augmented workflows. The article shows the technological foundations of legal AI systems, highlighting the capabilities and limitations of...