Tax Law

Introduction At the core of intellectual property (IP) law lies a fundamental question of political philosophy: Can any argument justify the state’s grant of private property rights in intangibles?[1] To this question, scholars have responded that IP rights can be...

The data science technologies of artificial intelligence (AI), Internet of Things (IoT), big data and behavioral/predictive analytics, and blockchain are poised to revolutionize government and create a new generation of GovTech start-ups. The impact from the ‘smartification’ of public services...

The so-called fourth industrial revolution and its economic and societal implications are no longer solely an academic concern, but a matter for political as well as public debate. Characterized as the convergence of robotics, AI, autonomous systems and information technology...

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...

Small school, big impact.

Although computers and digital technologies have existed for many decades, their capabilities today have changed dramatically. Current buzzwords like Big Data, artificial intelligence, robotics, and blockchain are shorthand for further leaps in development. The digitalisation of communication, which is a...

Ganesh Sitaraman Testifies Before U.S. Senate Judiciary Subcommittee The airline industry is not resilient, competitive, or serving the public, and Congress must fix the miserable flying experience, Vanderbilt Law Professor Ganesh Sitaraman testified before the U.S. Senate Judiciary Subcommittee on...

Courts and the law are playing an increasingly important political role. Courts are redefining public policies decided by representative authorities, and citizens are using the law and rights-framed discourses as political tools to address private and social demands, as well...

Building on developments in machine learning and prior work in the science of judicial prediction, we construct a model designed to predict the behavior of the Supreme Court of the United States in a generalized, out-of-sample context. To do so,...

The utilization of artificial intelligence (AI) applications has experienced tremendous growth in recent years, bringing forth numerous benefits and conveniences. However, this expansion has also provoked ethical concerns, such as privacy breaches, algorithmic discrimination, security and reliability issues, transparency, and...

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...

Abstract The advent of artificial intelligence (AI) and its generative capabilities have propelled innovation across various industries, yet they have also sparked intricate legal debates, particularly in the realm of copyright law. Generative AI systems, capable of producing original content...

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...

The present society is in a period of rapid development of artificial intelligence, and the process of its swift advancement is filled with both opportunities and challenges. As a branch of artificial intelligence, deep synthesis technology gradually enters people's vision....

Browse the AAAI Library containing several high-quality AAAI Conference proceedings in artificial intelligence.

arXiv:2602.12748v1 Announce Type: new Abstract: The explainable AI (XAI) research community has proposed numerous technical methods, yet deploying explainability as systems remains challenging: Interactive explanation systems require both suitable algorithms and system capabilities that maintain explanation usability across repeated queries,...

arXiv:2602.13166v1 Announce Type: new Abstract: This paper presents a hybrid obstacle avoidance architecture that integrates Optimal Control under clearance with a Fuzzy Rule Based System (FRBS) to enable adaptive constraint handling for unmanned aircraft. Motivated by the limitations of classical...

arXiv:2602.12384v2 Announce Type: cross Abstract: Understanding why gradient-based training in deep networks exhibits strong implicit bias remains challenging, in part because tractable singular-value dynamics are typically available only for balanced deep linear models. We propose an alternative route based on...

arXiv:2602.12390v1 Announce Type: cross Abstract: We study neural networks with trainable low-degree rational activation functions and show that they are more expressive and parameter-efficient than modern piecewise-linear and smooth activations such as ELU, LeakyReLU, LogSigmoid, PReLU, ReLU, SELU, CELU, Sigmoid,...

arXiv:2602.12430v2 Announce Type: cross Abstract: The transition from monolithic language models to modular, skill-equipped agents marks a defining shift in how large language models (LLMs) are deployed in practice. Rather than encoding all procedural knowledge within model weights, agent skills...

arXiv:2602.12368v1 Announce Type: new Abstract: This work introduces the Nirenberg Neural Network: a numerical approach to the Nirenberg problem of prescribing Gaussian curvature on $S^2$ for metrics that are pointwise conformal to the round metric. Our mesh-free physics-informed neural network...