Intellectual Property

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...

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...

Abstract As the efficacy of artificial intelligence (AI) in improving aspects of healthcare delivery is increasingly becoming evident, it becomes likely that AI will be incorporated in routine clinical care in the near future. This promise has led to growing...

Abstract This paper describes CLIME, a web-based legal advisory system with a multilingual natural language interface. CLIME is a ‘proof-of-concept’ system which answers queries relating to ship-building and ship-operating regulations. Its core knowledge source is a set of such regulations...

Purpose This paper aims to investigate the legal challenges arising from the increasing integration of artificial intelligence (AI) within the financial industry. It examines issues such as data privacy, cyber security, fraud and consumer protection, as well as ethical concerns...

Copyright law in the United Arab Emirates (UAE) has the capacity to address the challenges associated with artificial intelligence (AI)-generated literary, artistic and scientific works. Under UAE copyright law, AI-generated works may qualify as copyright subject matter despite the non-human...

The implementation of artificial intelligence (AI) in work is increasingly common across industries and professions. This study explores professional discourse around perceptions and use of intelligent technologies in the legal industry. Drawing on institutional theory, we conducted 30 semi-structured interviews...

Researchers and practitioners in the fairness community have highlighted the ethical and legal challenges of using biased datasets in data-driven systems, with algorithmic bias being a major concern. Despite the rapidly growing body of literature on fairness in algorithmic decision-making,...

The widespread adoption of AI-powered business analytics applications has revolutionized decision-making, yet it has also introduced significant challenges related to algorithmic bias, data ethics, and governance. As organizations increasingly rely on machine learning and big data analytics for customer profiling,...

The rapid evolution of financial technology, especially the integration of Artificial Intelligence (AI), is reshaping the financial sector in Africa. This paper comprehensively reviews the rise, implications, and future prospects of AI-driven financial services in Africa. This study aimed to...

Acknowledgement of History The Virginia Law Review, established in 1913, has enjoyed a reputation of publishing leading scholarship—pieces that have changed laws, been cited in Supreme Court opinions, and spotlighted the ideas of both prominent scholars and emerging voices. The...

Boundary-conforming coordinate transformations are used widely to map a flow region onto a computational space in which a finite-difference solution to the differential flow conservation laws is carried out. This method entails difficulties with maintenance of global conservation and with...

Immediately following his inauguration, President Trump declared a national energy emergency in the United States. While the contours and implications of this declaration remain uncertain, the order’s stated purpose is to advance the President’s domestic energy policy agenda by promoting...

Introduction In the twenty-first-century United States, patents—government grants of exclusive rights to the originator of a new and useful invention—are part of the politics of the border.[1] Patents are relevant to the U.S. border in at least three ways. First,...

We argue why interpretability should have primacy alongside empiricism for several reasons: first, if machine learning (ML) models are beginning to render some of the high-risk healthcare decisions instead of clinicians, these models pose a novel medicolegal and ethical frontier...

As the coronavirus spreads across the United States, so does an info-demic of dangerous misinformation threatening public health. UN Secretary-General António Guterres characterized this misinfo-demic as a “secondary disease” that needlessly threatens public health, observing that “[h]armful health advice and...

“Hard cases make bad law” is one of the most famous aphorisms in Anglo-American law. Its insight is that when strict application of a generally sound law would impose a special hardship on someone, a court may be tempted to...

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A recurrent concern about machine learning algorithms is that they operate as “black boxes,” making it difficult to identify how and why the algorithms reach particular decisions, recommendations, or predictions. Yet judges will confront machine learning algorithms with increasing frequency,...

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...

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...

Recruiting Events Each year, Vanderbilt Law School LL.M. admissions representatives attend a variety of student recruiting events across the globe. This year, we will be attending a number of in-person and virtual events, including the LSAC Digital Forums, virtual LL.M....

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 article covers the study of the issues of the concept of artificial intelligence and certain problematic aspects of the legal regulation of its use. The authors analyze the concept of artificial intelligence in domestic and foreign legislation, foreign and...

In 2021, Arizona created the alternative business structure (ABS), which allows nonattorneys to own a firm that provides legal services and actively participate in firm management. Scholars have argued that this new paradigm will erode…The postCrossing the Rubicon: Assembling a...

The foundations of the administrative state are being reshaped, both by the continuing transformations of administrative law doctrine by the courts and by the ambitions for restructuring the executive branch among the current presidential administration. But at the same time,...