Ensemble Graph Neural Networks for Probabilistic Sea Surface Temperature Forecasting via Input Perturbations
arXiv:2603.06153v1 Announce Type: new Abstract: Accurate regional ocean forecasting requires models that are both computationally efficient and capable of representing predictive uncertainty. This work investigates ensemble learning strategies for sea surface temperature (SST) forecasting using Graph Neural Networks (GNNs), with...
Balancing Privacy and Progress: A Review of Privacy Challenges, Systemic Oversight, and Patient Perceptions in AI-Driven Healthcare
Integrating Artificial Intelligence (AI) in healthcare represents a transformative shift with substantial potential for enhancing patient care. This paper critically examines this integration, confronting significant ethical, legal, and technological challenges, particularly in patient privacy, decision-making autonomy, and data integrity. A...
UW Theme 2.0 is now available!
Welcome the UW Theme! The kitchen sink page is your guide to all the visual page elements currently available through the theme. If you prefer to print out your options, please download the current component key (pdf). This WordPress theme...
Artificial Intelligence and Sui Generis Right: A Perspective for Copyright of Ukraine?
This note explores the current state of and perspectives on the legal qualification of artificial intelligence (AI) outputs in Ukrainian copyright. The possible legal protection for AI-generated objects by granting sui generis intellectual property rights will be examined. As will...
Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions
Artificial intelligence (AI) research and regulation seek to balance the benefits of innovation against any potential harms and disruption. However, one unintended consequence of the recent surge in AI research is the potential re-orientation of AI technologies to facilitate criminal...
Artificial Intelligence in Business Law: Navigating Regulation, Ethics, and Governance
Abstract: This chapter examines the transformative role of artificial intelligence (AI) in business law, focusing on the regulatory, ethical, and governance challenges it presents. As AI applications in legal processes grow—ranging from compliance automation and contract management to risk assessment...
Data protection law and the regulation of artificial intelligence: a two-way discourse
The paper aims to analyse the relationship between the law on the protection of personal data and the regulation of artificial intelligence, in search of synergies and with a view to a complementary application to automated processing and decision-making. In...
Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective
Recent advances in Natural Language Processing and Machine Learning provide us with the tools to build predictive models that can be used to unveil patterns driving judicial decisions. This can be useful, for both lawyers and judges, as an assisting...
The International Regulation of Artificial Intelligence Influence on the Information Law of Ukraine
The article is devoted to the international regulation on artificial intelligence influence on the Information Law of Ukraine. It was noted that the principles of regulation of artificial intelligence should be reflected in the Information Law of Ukraine. Based on...
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Algorithmic Unfairness through the Lens of EU Non-Discrimination Law
Concerns regarding unfairness and discrimination in the context of artificial intelligence (AI) systems have recently received increased attention from both legal and computer science scholars. Yet, the degree of overlap between notions of algorithmic bias and fairness on the one...
Putting AI Ethics into Practice: The Hourglass Model of Organizational AI Governance
The organizational use of artificial intelligence (AI) has rapidly spread across various sectors. Alongside the awareness of the benefits brought by AI, there is a growing consensus on the necessity of tackling the risks and potential harms, such as bias...
In Defence of Principlism in AI Ethics and Governance
Governing artificial intelligence: ethical, legal and technical opportunities and challenges
This paper is the introduction to the special issue entitled: ‘Governing artificial intelligence: ethical, legal and technical opportunities and challenges'. Artificial intelligence (AI) increasingly permeates every aspect of our society, from the critical, like urban infrastructure, law enforcement, banking, healthcare...
Hard Law and Soft Law Regulations of Artificial Intelligence in Investment Management
Abstract Artificial Intelligence (‘AI’) technologies present great opportunities for the investment management industry (as well as broader financial services). However, there are presently no regulations specifically aiming at AI in investment management. Does this mean that AI is currently unregulated?...
Natural Language, Legal Hurdles: Navigating the Complexities in Natural Language Processing Development and Application
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...
Vanderbilt in Venice
Program Overview Each summer, Vanderbilt in Venice allows American and European law students an opportunity to gain an invaluable international perspective. Directed by Professor Michael Newton, Vanderbilt in Venice brings together a maximum of 45 students with 3 professors to...
Demystifying the Draft EU Artificial Intelligence Act — Analysing the good, the bad, and the unclear elements of the proposed approach
AI standardization promises to support the implementation of EU legislation and promote the rapid transfer,transparency, and interoperability of this massively disruptive technology. However, apart from well-known practical difficulties stemming from the unique probabilistic nature and the rapid development of AI...
Shaping the future of AI in healthcare through ethics and governance
Abstract The purpose of this research is to identify and evaluate the technical, ethical and regulatory challenges related to the use of Artificial Intelligence (AI) in healthcare. The potential applications of AI in healthcare seem limitless and vary in their...
Natural language processing in C<scp>LIME</scp>, a multilingual legal advisory system
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...
Pocket Constitutions: America’s Founding Document in Small Print
For a document that is usually found behind glass casing in museums and galleries, many have taken advantage of the ability to carry it in their purse, wallet—or better yet—their pocket. The US Constitution is one of the oldest and...
The Risk-Based Approach of the European Union’s Proposed Artificial Intelligence Regulation: Some Comments from a Tort Law Perspective
Abstract How can tort law contribute to a better understanding of the risk-based approach in the European Union’s (EU) Artificial Intelligence Act proposal and evolving liability regime? In a new legal area of intense development, it is pivotal to make...
Constitutional democracy and technology in the age of artificial intelligence
Given the foreseeable pervasiveness of artificial intelligence (AI) in modern societies, it is legitimate and necessary to ask the question how this new technology must be shaped to support the maintenance and strengthening of constitutional democracy. This paper first describes...
Civil law regulation of artificial Intelligence in the Russian Federation
The purpose of this article is to identify the normative gaps in the legal regulation of the use of artificial intelligence technology and related systems, as well as to identify the degree of need for a more comprehensive legal regulation....
Bias in Adjudication and the Promise of AI: Challenges to Procedural Fairness
Empirical research demonstrates that judges are prone to cognitive and social biases, both of which can reduce the accuracy of judgements and introduce extra-legal influences on judicial decisions. While these findings raise the important question of how to mitigate the...
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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.
Certifying Legal AI Assistants for Unrepresented Litigants: A Global Survey of Access to Civil Justice, Unauthorized Practice of Law, and AI
The global integration of artificial intelligence (AI) into legal services has created a critical need for clarity regarding unauthorized practice of law (UPL) rules. Traditionally, UPL rules prohibited unlicensed individuals from engaging in activities legally reserved for qualified attorneys, including,...
Algorithmic Bias and the Law: Ensuring Fairness in Automated Decision-Making
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...
AI and Bias in Recruitment: Ensuring Fairness in Algorithmic Hiring.
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...
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