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Information theory provides a constructive criterion for setting up probability distributions on the basis of partial knowledge, and leads to a type of statistical inference which is called the maximum-entropy estimate. It is the least biased estimate possible on the...

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,...

In Online Courts and the Future of Justice, Richard Susskind, the world’s most cited author on the future of legal services, shows how litigation will be transformed by technology and proposes a solution to the global access-to-justice problem. In most...

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,...

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...

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...

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...

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...

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...

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...

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The Wisconsin Law Review presents: The Shadow Carceral State Registration available here.Date and Time Friday, September 26 9:00am – 5:30pm CDT Location Madison Museum of Contemporary Art 227 State Street Madison, WI 53703 CLE for this event is pending.Summary On...

Abstract This article addresses two principal research objectives: first, to examine how and to what extent the provisions of the EU AI Act (EUAIA) dedicated to general-purpose artificial intelligence (AI) models (GPAIm) govern the intersection of copyright and AI, through...

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...

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...

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...

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,...

Abstract This research explores AI-generated originality's impact on copyright regulations. It meticulously examines legal frameworks such as the Berne Convention, EU Copyright Law, and national legislation. Rigorously analyzing cases, including Infopaq International A/S v Danske Dagblades Forening and Levola Hengelo...

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Publishing Services supports our affiliates' creation of scholarly publications. We provide consultations about general publishing questions, and publish journals, books, dynamic scholarly serials, and textbooks through our University of Minnesota Libraries Publishing imprint.

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,...

By Benjamin Albert Halevy, Volume 108 Staff Member From pull-tab vending machines at bars to tribe-owned casinos sporting slot machines and blackjack tables, Minnesota is no stranger to gambling within its borders. Yet, sports gambling, the fastest growing sector of...

This article examines Ayinde v London Borough of Haringey; Al-Haroun v Qatar National Bank [2025] EWHC 1383 (Admin), a landmark High Court judgment addressing the use of generative artificial intelligence (GenAI) in legal practice. The case arose when counsels submitted...