In search of effectiveness and fairness in proving algorithmic discrimination in EU law
Examples of discriminatory algorithmic recruitment of workers have triggered a debate on application of the non-discrimination principle in the EU. Algorithms challenge two principles in the system of evidence in EU non-discrimination law. The first is effectiveness, given that due...
The Paradox of Immigrant Children’s Rights
The American Law Institute is set to release a first ever Restatement of the Law in the area of Children and the Law to address the increasingly convoluted treatment of children across legal systems.[1] Children’s rights scholars have long critiqued...
When code isn’t law: rethinking regulation for artificial intelligence
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,...
Construction and Management of the South Florida Detention Facility
The second Trump Administration is executing an extensive immigration crackdown — pulling more people into detention, expanding Immigration and Customs Enforcement (ICE), and funneling money from...The postConstruction and Management of the South Florida Detention Facilityappeared first onHarvard Law Review.
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The Wisconsin Law Review is a student-run journal of legal analysis and commentary that is used by professors, judges, practitioners, and others researching contemporary legal topics. The Wisconsin Law Review, which is published six times each year, includes professional and...
Pressing Charges: Criminal Fees and the Excessive Fines Clause lawreview - Minnesota Law Review
By ANNEMARIE FOY. Full Text. Millions of people owe money to the government as a consequence of a criminal charge. But while some of that debt is tied to fines or restitution, much of it is levied as fees, or...
Volume 110 - Issue 2 - Minnesota Law Review
The Necessity of Firearm Stores During the COVID-19 Pandemic
Gun owners and would-be gun purchasers are arguing that state measures to prevent the spread of the novel coronavirus infringe on their Second Amendment rights. To the extent the premise is correct—the Second Amendment guarantees access to a firearm store—it’s...
The Impact of Developments in Artificial Intelligence on Copyright and other Intellectual Property Laws
Objective: The objective of this study is to investigate the impact of AI breakthroughs on copyright and challenges faced by intellectual property legal protection systems. Specifically, the study aims to analyze the implications of AI-generated works in the context of...
Crypto Kleptocracy
Many Americans are worrying about whether they will soon be living in a post-democracy autocracy. But in the meantime, they may already be living in a crypto-fueled kleptocracy. Less than one year into his second…The postCrypto Kleptocracyappeared first onMichigan Law...
Deterring Viral Pandemics of COVID-19 Misinformation
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...
Volume 2025, No. 2
Residual State Power to Regulate Presidential Qualifications in The Wake Of Trump v. Anderson and Moore v. Harper by Vikram David Amar; History, Tradition, and Voter Registration by Joshua A. Douglas; “The Real Preference Of Voters”: Madison’s Idea of a...
Ethical Considerations in Cloud AI: Addressing Bias and Fairness in Algorithmic Systems
Artificial intelligence systems deployed through cloud infrastructure have transformed numerous sectors while simultaneously raising critical ethical concerns regarding bias and fairness. This article examines the multifaceted nature of algorithmic bias in cloud AI systems, presenting quantitative evidence of disparities across...
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To Mix or To Merge: Toward Multi-Domain Reinforcement Learning for Large Language Models
arXiv:2602.12566v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) plays a key role in stimulating the explicit reasoning capability of Large Language Models (LLMs). We can achieve expert-level performance in some specific domains via RLVR, such as coding...
Optimal Take-off under Fuzzy Clearances
arXiv:2602.13166v1 Announce Type: new Abstract: This paper presents a hybrid obstacle avoidance architecture that integrates Optimal Control under clearance with a Fuzzy Rule Based System (FRBS) to enable adaptive constraint handling for unmanned aircraft. Motivated by the limitations of classical...
Rational Neural Networks have Expressivity Advantages
arXiv:2602.12390v1 Announce Type: cross Abstract: We study neural networks with trainable low-degree rational activation functions and show that they are more expressive and parameter-efficient than modern piecewise-linear and smooth activations such as ELU, LeakyReLU, LogSigmoid, PReLU, ReLU, SELU, CELU, Sigmoid,...