Intellectual Property

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...

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...

By Lea Chapoton, Volume 108 Staff Member In the wake of 2022’s Dobbs v. Jackson Women’s Health Organization[1] decision and the ensuing barrage of state laws limiting abortion access, online discussions surged with strategies for maintaining reproductive freedom in potentially...

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...

Claims, disputes, and litigations are major legal issues in construction projects, which often result in cost overruns, delays, and adverse working relationships among the contracting parties. Recent advances in natural language processing (NLP) techniques offer great potentials that can process...

Vanderbilt Law Review Environmental Law Policy Annual Review Vanderbilt Journal of Entertainment and Technology Law Vanderbilt Journal of Transnational Law Social Justice Reporter

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...

&lt;span&gt;Envisaging legal cases’ outcomes can assist the judicial decision-making process. Prediction is possible in various cases, such as predicting the outcome of construction litigation, crime-related cases, parental rights, worker types, divorces, and tax law. The machine learning methods can function...

This chapter confronts the foundational challenges posed to legal theory and legal philosophy by the rise of computational ‘law’. Two types will be distinguished, noting that they can be combined into hybrid systems. On the one hand, the use of...

There is a growing literature critiquing the unreflective application of big data, predictive analytics, artificial intelligence, and machine-learning techniques to social problems. Such methods may reflect biases rather than reasoned decision making. They also may leave those affected by automated...

This talk situates the rising field of NLLP in the context of legal scholarship and practice.It will examine how the field relates to existing inquiries in computational law, AI and Law, and computational/empirical legal studies.Similarities, differences, and opportunities for cross-fertilization...

Legal research is a time-consuming and complex task that requires a deep understanding of legal language and principles. To assist lawyers and legal professionals in this process, an AI-based legal assistance system can be developed that utilizes natural language processing...

Undergraduate Admissions Graduate & Professional Admissions Financial Aid

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 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...

PurposeThis study examines the impact of data bias and algorithmic discrimination on individual credit accessibility in China’s financial system. It aims to align financial inclusion and equity goals with statistical fairness conditions by constructing fairness metrics from multiple dimensions. The...

ICLR supports the strong community-building role that is so central to the conference. We hope to create opportunities for all participants to meet new people and to share knowledge, best-practices, opportunities, and interests. A Social is a participant-led meeting centered...

Each podcast episode examines how generational experiences shape views of AI, exploring the challenges, opportunities, and ethical considerations

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