Content Neutrality for Kids: Intermediate Scrutiny for Social Media Age-Verification Laws
The kids are not okay. Evidence of decreasing school performance, increasing rates of depression and anxiety, and declining social engagement among minors has created...The postContent Neutrality for Kids: Intermediate Scrutiny for Social Media Age-Verification Lawsappeared first onHarvard Law Review.
Foundations for the future: institution building for the purpose of artificial intelligence governance
AbstractGovernance efforts for artificial intelligence (AI) are taking on increasingly more concrete forms, drawing on a variety of approaches and instruments from hard regulation to standardisation efforts, aimed at mitigating challenges from high-risk AI systems. To implement these and other...
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...
The copyright protection of AI-generated content in video games
Abstract The increasing use of artificial intelligence in video game development, particularly through advanced procedural content generation, challenges traditional copyright frameworks. While AI-generated content is now integral to enhancing efficiency and player experience, its copyright status remains disputed, especially regarding...
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...
Predictive policing and algorithmic fairness
Abstract This paper examines racial discrimination and algorithmic bias in predictive policing algorithms (PPAs), an emerging technology designed to predict threats and suggest solutions in law enforcement. We first describe what discrimination is in a case study of Chicago’s PPA....
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...
Legal issues concerning Generative AI technologies
We are witnessing an accelerated technological evolution that has enabled the development of artificial intelligence in various fields, allowing it to gradually infiltrate the entire society. We intend to cover only a small subset of AI technologies in our paper,...
Teaching fairness to artificial intelligence: Existing and novel strategies against algorithmic discrimination under EU law
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,...
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?...
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...
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...
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Uncovering spatial tissue domains and cell types in spatial omics through cross-scale profiling of cellular and genomic interactions
arXiv:2602.12651v1 Announce Type: new Abstract: Cellular identity and function are linked to both their intrinsic genomic makeup and extrinsic spatial context within the tissue microenvironment. Spatial transcriptomics (ST) offers an unprecedented opportunity to study this, providing in situ gene expression...
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts - ACL Anthology
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ASML-Mistral AI: It's the Geopolitics, Stupid - AI Now Institute
The Sky's the Limit? SkyKick v Sky and Speculative Trade Mark Registration
Trade marks are registered for specific products, which defines the scope of their exclusive legal monopoly. To benefit from a broad scope, applicants increasingly overclaim. They apply for categories of products with no intention to use the mark on them...
Understanding the Regulation of the Use of Artificial Intelligence Under International Law
The development of artificial intelligence (AI) has revolutionized various aspects of human life, from the economic sector to the government system. While it brings significant benefits, AI also poses legal and ethical risks that have not been fully addressed in...
X-Blocks: Linguistic Building Blocks of Natural Language Explanations for Automated Vehicles
arXiv:2602.13248v1 Announce Type: new Abstract: Natural language explanations play a critical role in establishing trust and acceptance of automated vehicles (AVs), yet existing approaches lack systematic frameworks for analysing how humans linguistically construct driving rationales across diverse scenarios. This paper...
Neurosymbolic Language Reasoning as Satisfiability Modulo Theory
arXiv:2602.18095v1 Announce Type: new Abstract: Natural language understanding requires interleaving textual and logical reasoning, yet large language models often fail to perform such reasoning reliably. Existing neurosymbolic systems combine LLMs with solvers but remain limited to fully formalizable tasks such...
Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models
arXiv:2602.17750v1 Announce Type: cross Abstract: A key problem of solid mechanics is the identification of the constitutive law of a material, that is, the relation between strain and stress. Machine learning has lead to considerable advances in this field lately....