Tax Law

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...

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...

Computational Methods for Legal Analysis Computational analysis can be seen as the most recent innovation in the field of Empirical Legal Studies (ELS). It concerns the use of computer science and big data tools to collect, analyse and understand the...

A cybernetic avatar (CA) is a concept that encompasses not only avatars representing virtual bodies in cyberspace but also information and communication technology (ICT) and robotic technologies that enhance the physical, cognitive, and perceptual capabilities of humans. CAs can enable...

Our community brings together those with diverse backgrounds, perspectives, identities, and preferences, and each member contributes to school life through their own distinctive set of viewpoints, experiences, and ideas.We celebrate this diversity. We cherish it.We believe that it can fully...

1Interdisciplinary ApproachResearch at Vanderbilt draws on the belief that great breakthroughs happen when different ideas, disciplines and areas of expertise come together. As a result, Vanderbilt is dedicated to fostering cross-disciplinary collaborations that can expand the framework for what is...

Abstract Two critical policy questions will determine the impact of generative artificial intelligence (AI) on the knowledge economy and the creative sector. The first concerns how we think about the training of such models—in particular, whether the creators or owners...

This article describes the study results of semi-structured data processing and analysis of the Russian court decisions (almost 30 million) using distributed cluster-computing framework and machine learning. Spark was used for data processing and decisions trees were used for analysis....

What Sets Vanderbilt's LL.M. Program Apart? At Vanderbilt Law, you can customize your legal education, prepare for a bar exam, and improve your language skills. Course Tracks and Customizable Curriculums At Vanderbilt, students have the power to choose what they...

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The balancing act which domestic intellectual property policy is now challenged to strike is between fostering growth in technological innovation and incentivising creative labour. Ordinarily, these two considerations should not be mutually exclusive, but generative artificial intelligence (Gen AI) has...

A judicial clerkship is one of the most prestigious and valuable experiences available to a recent law graduate. Judicial clerks gain inside knowledge of how parties pursue actual cases and how judges resolve legal issues. They receive exposure to substantive...

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Big Data analytics and artificial intelligence (AI) draw non-intuitive and unverifiable inferences and predictions about the behaviors, preferences, and private lives of individuals. These inferences draw on highly diverse and feature-rich data of unpredictable value, and create new opportunities for...

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,...

Abstract This article examines the challenges of regulating artificial intelligence (AI) systems and proposes an adapted model of regulation suitable for AI's novel features. Unlike past technologies, AI systems built using techniques like deep learning cannot be directly analyzed, specified,...

Residual State Power to Regulate Presidential Qualifications in The Wake Of Trump v. Anderson and Moore v. Harper by Vikram David Amar; History, Tradition, and Voter Registration by Joshua A. Douglas; “The Real Preference Of Voters”: Madison’s Idea of a...

Why Study at Vanderbilt Law? Our personalized approach, customizable curriculum, and national reach help graduates find success wherever they go. Small by Design At Vanderbilt University Law School, we intentionally keep our student body small to enrich the learning experience....

Introduction The United States patent system is commonly justified by its provision of economic incentives for innovation.[1] But this justification comes with constant concern that the social benefits of innovation that the patent system stimulates might not outweigh the sum...

Researchers and practitioners from different disciplines have highlighted the ethical and legal challenges posed by the use of machine learned models and data-driven systems, and the potential for such systems to discriminate against certain population groups, due to biases in...

In Loper Bright v. Raimondo, the Supreme Court adopted and deployed a particular narrative about agency action in support of overruling Chevron: Agencies reverse their own statutory interpretations “as much as [they] like[],” creating pervasive instability in the law, thereby...

Deep learning technologies, which are the key components of state-of-the-art Artificial Intelligence (AI) services, have shown great success in providing human-level capabilities for a variety of tasks, such as visual analysis, speech recognition, and natural language processing and etc. Building...

view Abstract Citations (9701) References (43) Co-Reads Similar Papers Volume Content Graphics Metrics Export Citation NASA/ADS The Relationship between Infrared, Optical, and Ultraviolet Extinction Cardelli, Jason A. ; Clayton, Geoffrey C. ; Mathis, John S. Abstract The parameterized extinction data...

Algorithmic decision-making systems have become pervasive across critical domains including employment, housing, healthcare, and criminal justice. While these systems promise enhanced efficiency and objectivity, they increasingly demonstrate patterns of discrimination that perpetuate and amplify existing societal biases. This paper examines...

The integration of Artificial Intelligence (AI) in recruitment processes has revolutionized hiring by increasing efficiency, reducing time-to-hire, and enabling data-driven decision-making. However, despite these advancements, concerns about algorithmic bias and fairness remain central to ethical AI deployment. This paper explores...

AI-driven healthcare systems perpetuate gendered and racialised health inequalities, misdiagnosing marginalised populations due to historical exclusions in medical research and dataset construction. These disparities are further reinforced by androcentric medical epistemologies where white male bodies are treated as the universal...