Artificial Intelligence and the Copyright Survey
Algorithmic decision-making employing profiling: will trade secrecy protection render the right to explanation toothless?
Artificial intelligence, big data and intellectual property: protecting computer generated works in the United Kingdom
Big data and its use by artificial intelligence (AI) is changing the way intellectual property is developed and granted. For decades, machines have been autonomously generating works which have traditionally been eligible for copyright and patent protection. Now, the growing...
Auditing of AI in Railway Technology – a European Legal Approach
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...
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...
Career Services for Employers
2026 Winter Mingle January 28th, 2026 at the Music City Center in Nashville, TNThis year’s Winter Mingle will take a slightly different approach, bringing together all VLS students for the event. It’s an excellent opportunity to connect with students and...
A HAZY FIVE HOURS: MINNESOTA SHOULD NOT REINVENT THE WHEEL IN ADDRESSING THC BEVERAGES IN RESTAURANTS - Minnesota Law Review
By Shannon Schooley, Volume 108 Staff Member In 2023, Minnesota legalized recreational cannabis.[1] Although Minnesota followed twenty-two states and the District of Columbia in doing so,[2] its legal landscape presents unique regulatory challenges.[3] Minnesota’s full-scale recreational legalization comes on the...
Survey of Text Mining Techniques Applied to Judicial Decisions Prediction
This paper reviews the most recent literature on experiments with different Machine Learning, Deep Learning and Natural Language Processing techniques applied to predict judicial and administrative decisions. Among the most outstanding findings, we have that the most used data mining...
Reimagining Copyright: Analyzing Intellectual Property Rights in Generative AI
Generative Artificial Intelligence (Generative AI) is completely turning the workforce upside down. This can be mainly attributed to the efficiency it brings to the organisation and educational institutions. With rapid digital developments observed across the globe, Generative AI is currently...
Text and Data Mining, Generative AI, and the Copyright Three-Step Test
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...
Rewriting the Narrative of AI Bias: A Data Feminist Critique of Algorithmic Inequalities in Healthcare
AI-driven healthcare systems perpetuate gendered and racialised health inequalities, misdiagnosing marginalised populations due to historical exclusions in medical research and dataset construction. These disparities are further reinforced by androcentric medical epistemologies where white male bodies are treated as the universal...
NeurIPS 2025 Volunteer and Financial Assistance
NeurIPS 2025 Datasets & Benchmarks Track Call for Papers
NeurIPS 2025 Mexico City –Call for Tutorials
NeurIPS Creative AI Track 2025: Humanity
NeurIPS 2025 Call for Position Papers
NeurIPS 2025 Mexico City –Call for Socials
ICLR 2026 Call for Socials
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...