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LOW Law Review United States

Refining the Dangerousness Standard in Felon Disarmament lawreview - Minnesota Law Review

By Jamie G. McWilliam. Full Text. To some, 18 U.S.C. 922(g) is a necessary safeguard that keeps guns out of the hands of dangerous persons. To others, it strips classes of non-violent people of their natural and constitutional rights. This...

News Monitor (3_14_4)

Analysis of the academic article for Family Law practice area relevance: The article discusses the impact of the landmark Supreme Court case Bruen on the application of 18 U.S.C. 922(g), a federal statute disarming certain classes of individuals, including those convicted of domestic violence. The article highlights the shift from a two-step interest balancing test to a history and tradition test, which has led to courts chipping away at the statute, particularly in regards to non-violent offenders. This development has implications for Family Law practitioners, as it may affect the rights of individuals with a history of domestic violence or other relevant offenses. Key legal developments: 1. The Supreme Court's decision in Bruen, which replaced the two-step interest balancing test with a history and tradition test for evaluating firearm regulations. 2. The chipping away of 18 U.S.C. 922(g) by courts, particularly in regards to non-violent offenders. 3. The potential impact on Family Law practitioners, as individuals with a history of domestic violence or other relevant offenses may have their rights affected. Research findings: * The article suggests that the Bruen decision has led to a shift in the application of 18 U.S.C. 922(g), with courts increasingly scrutinizing the statute's provisions. * The article highlights the potential for courts to narrow the scope of the statute's application, particularly in regards to non-violent offenders. Policy signals: * The article suggests that the Bruen decision has opened the door

Commentary Writer (3_14_6)

The article "Refining the Dangerousness Standard in Felon Disarmament" by Jamie G. McWilliam raises significant implications for Family Law practice, particularly in jurisdictions where gun control laws intersect with family law. A comparison of US, Korean, and international approaches reveals distinct differences in the regulation of firearms and the protection of individual rights. In the United States, the Supreme Court's decision in Bruen has led to a shift away from the two-step interest balancing test and towards a history and tradition test, potentially limiting the government's ability to regulate firearms. In contrast, South Korea has a more restrictive approach to gun ownership, requiring a license for possession and imposing strict regulations on the sale and transfer of firearms. Internationally, many countries, such as the United Kingdom and Australia, have implemented comprehensive gun control laws, including licensing requirements and bans on certain types of firearms. In the context of family law, the relaxation of gun control regulations in the US may have implications for domestic violence cases, as individuals with a history of violence may still be able to possess firearms. In contrast, countries with stricter gun control laws, such as Korea and the UK, may have more effective measures in place to prevent domestic violence and protect victims. The Korean approach, for example, requires individuals with a history of domestic violence to surrender their firearms and undergo counseling, highlighting the importance of a comprehensive and evidence-based approach to gun control in preventing domestic violence. Ultimately, the US approach may need to be reevaluated in light

Custody Expert (3_14_9)

As a Child Custody & Parental Rights Expert, I must note that the article's implications for practitioners in family law are indirect, but relevant to the broader context of parental rights and child safety. The article discusses the refinement of the dangerousness standard in felon disarmament laws, which may have implications for family law practitioners dealing with cases involving domestic violence, child custody, and parental rights. In the context of family law, the article's discussion of the Second Amendment and the history and tradition test may be relevant to cases involving firearms possession and domestic violence. For example, a court may consider the parent's history of domestic violence when determining custody arrangements, and the parent's right to possess firearms may be impacted by the court's decision. Statutory and regulatory connections: * The article discusses 18 U.S.C. 922(g), a federal statute that prohibits certain individuals from possessing firearms. * The court's decision in Bruen v. N.R.A. (2022) has implications for the application of 18 U.S.C. 922(g) and may be cited in family law cases involving domestic violence and firearms possession. * State laws and regulations regarding domestic violence, child custody, and parental rights may be impacted by the refinement of the dangerousness standard in felon disarmament laws.

Statutes: U.S.C. 922
1 min 1 month, 1 week ago
domestic violence restraining order
LOW Academic United States

Position: Science of AI Evaluation Requires Item-level Benchmark Data

arXiv:2604.03244v1 Announce Type: new Abstract: AI evaluations have become the primary evidence for deploying generative AI systems across high-stakes domains. However, current evaluation paradigms often exhibit systemic validity failures. These issues, ranging from unjustified design choices to misaligned metrics, remain...

1 min 1 week, 3 days ago
adoption
LOW Academic United States

More Human, More Efficient: Aligning Annotations with Quantized SLMs

arXiv:2604.00586v1 Announce Type: new Abstract: As Large Language Model (LLM) capabilities advance, the demand for high-quality annotation of exponentially increasing text corpora has outpaced human capacity, leading to the widespread adoption of LLMs in automatic evaluation and annotation. However, proprietary...

1 min 2 weeks ago
adoption
LOW News United States

As more Americans adopt AI tools, fewer say they can trust the results

AI adoption is rising in the U.S., but trust remains low, with most Americans concerned about transparency, regulation, and the technology’s broader societal impact, according to a new Quinnipiac poll.

1 min 2 weeks ago
adoption
LOW Academic United States

Benchmarking Multi-Agent LLM Architectures for Financial Document Processing: A Comparative Study of Orchestration Patterns, Cost-Accuracy Tradeoffs and Production Scaling Strategies

arXiv:2603.22651v1 Announce Type: new Abstract: The adoption of large language models (LLMs) for structured information extraction from financial documents has accelerated rapidly, yet production deployments face fundamental architectural decisions with limited empirical guidance. We present a systematic benchmark comparing four...

1 min 3 weeks, 2 days ago
adoption
LOW Academic United States

Interpretable Multiple Myeloma Prognosis with Observational Medical Outcomes Partnership Data

arXiv:2603.20341v1 Announce Type: new Abstract: Machine learning (ML) promises better clinical decision-making, yet opaque model behavior limits the adoption in healthcare. We propose two novel regularization techniques for ensuring the interpretability of ML models trained on real-world data. In particular,...

1 min 3 weeks, 3 days ago
adoption
LOW Academic United States

Generating Expressive and Customizable Evals for Timeseries Data Analysis Agents with AgentFuel

arXiv:2603.12483v1 Announce Type: new Abstract: Across many domains (e.g., IoT, observability, telecommunications, cybersecurity), there is an emerging adoption of conversational data analysis agents that enable users to "talk to your data" to extract insights. Such data analysis agents operate on...

1 min 1 month ago
adoption
LOW Academic United States

Training Is Everything: Artificial Intelligence, Copyright, and Fair Training

To learn how to behave, the current revolutionary generation of AIs must be trained on vast quantities of published images, written works, and sounds, many of which fall within the core subject matter of copyright law. To some, the use...

1 min 1 month ago
adoption
LOW Academic United States

Abundant Intelligence and Deficient Demand: A Macro-Financial Stress Test of Rapid AI Adoption

arXiv:2603.09209v1 Announce Type: new Abstract: We formalize a macro-financial stress test for rapid AI adoption. Rather than a productivity bust or existential risk, we identify a distribution-and-contract mismatch: AI-generated abundance coexists with demand deficiency because economic institutions are anchored to...

1 min 1 month ago
adoption
LOW Academic United States

Validation of a Small Language Model for DSM-5 Substance Category Classification in Child Welfare Records

arXiv:2603.06836v1 Announce Type: new Abstract: Background: Recent studies have demonstrated that large language models (LLMs) can perform binary classification tasks on child welfare narratives, detecting the presence or absence of constructs such as substance-related problems, domestic violence, and firearms involvement....

1 min 1 month, 1 week ago
domestic violence
LOW Academic United States

Talk Freely, Execute Strictly: Schema-Gated Agentic AI for Flexible and Reproducible Scientific Workflows

arXiv:2603.06394v1 Announce Type: new Abstract: Large language models (LLMs) can now translate a researcher's plain-language goal into executable computation, yet scientific workflows demand determinism, provenance, and governance that are difficult to guarantee when an LLM decides what runs. Semi-structured interviews...

1 min 1 month, 1 week ago
adoption
LOW Academic United States

Algorithmic bias, data ethics, and governance: Ensuring fairness, transparency and compliance in AI-powered business analytics applications

The widespread adoption of AI-powered business analytics applications has revolutionized decision-making, yet it has also introduced significant challenges related to algorithmic bias, data ethics, and governance. As organizations increasingly rely on machine learning and big data analytics for customer profiling,...

1 min 1 month, 1 week ago
adoption
LOW Law Review United States

A Legal Stimulus

We need a legal stimulus. Not just a stimulus that is legal, but one that provides legal aid. That is why any further congressional stimulus should allocate additional funds specifically for legal services to individuals who, as a result of...

1 min 1 month, 1 week ago
domestic violence
LOW Law Review United States

Curbing Gun Violence Under PLCAA and Bruen: State Attorney General–Driven Solutions to the Surging Epidemic lawreview - Minnesota Law Review

By David Lamb. Full Text. At the same time that the deadly toll of gun violence continues to grow in the U.S., now taking nearly 50,000 lives per year, federal lawmakers and courts have increasingly constrained government authorities’ tools for...

1 min 1 month, 1 week ago
adoption
LOW Law Review United States

Major-Questions Lenity lawreview - Minnesota Law Review

By JOEL S. JOHNSON. Full Text. Both the historic rule of lenity and the new major questions doctrine rest on a fundamental commitment to the separation of powers for important policy questions. In light of that shared justification, the logic...

1 min 1 month, 1 week ago
adoption
LOW Law Review United States

Volume 2025, No. 4

How Not to Democratize Algorithms by Ngozi Okidegbe; Missing Children Discrimination by Itay Ravid & Tanisha Brown; Justifications for Fair Uses by Pamela Samuelson; Section Three of the Fourteenth Amendment from the Perspective of Section Two of the Fourteenth Amendment...

5 min 1 month, 1 week ago
adoption
LOW Academic United States

The intersection of AI and legal expertise: Transforming knowledge work in the legal profession

This article explores the transformative impact of artificial intelligence on legal knowledge work, examining the evolution from traditional document-centric processes to sophisticated AI-augmented workflows. The article shows the technological foundations of legal AI systems, highlighting the capabilities and limitations of...

1 min 1 month, 1 week ago
adoption
LOW Law Review United States

Dangerousness & the Undocumented

1 min 1 month, 1 week ago
domestic violence
LOW Academic United States

Legal Database Renewal in the AI Era: Insights from Eversheds Sutherland’s AI Strategy

Abstract This article, written by Andrew Thatcher , explores Eversheds Sutherland’s approach to integrating generative AI knowledge tools, focusing on their evaluation, onboarding and the subscription management. Rather than debating the broader implications of AI in law, the paper provides...

1 min 1 month, 1 week ago
adoption
LOW Academic United States

Human-AI collaboration in legal services: empirical insights on task-technology fit and generative AI adoption by legal professionals

Purpose This study aims to investigate the use of generative artificial intelligence (GenAI) in the legal profession, focusing on its fit with tasks performed by legal practitioners and its impact on performance and adoption. Design/methodology/approach This study uses a mixed...

1 min 1 month, 1 week ago
adoption
LOW Academic United States

Natural Language Processing for Legal Texts

Almost all law is expressed in natural language; therefore, natural language processing (NLP) is a key component of understanding and predicting law. Natural language processing converts unstructured text into a formal representation that computers can understand and analyze. This technology...

1 min 1 month, 1 week ago
adoption
LOW News United States

Environment

The Verge is about technology and how it makes us feel. Founded in 2011, we offer our audience everything from breaking news to reviews to award-winning features and investigations, on our site, in video, and in podcasts.

8 min 1 month, 1 week ago
adoption
LOW Academic United States

MIDAS: Mosaic Input-Specific Differentiable Architecture Search

arXiv:2602.17700v1 Announce Type: cross Abstract: Differentiable Neural Architecture Search (NAS) provides efficient, gradient-based methods for automatically designing neural networks, yet its adoption remains limited in practice. We present MIDAS, a novel approach that modernizes DARTS by replacing static architecture parameters...

1 min 1 month, 1 week ago
adoption
LOW Academic United States

A Late-Fusion Multimodal AI Framework for Privacy-Preserving Deduplication in National Healthcare Data Environments

arXiv:2603.04595v1 Announce Type: new Abstract: Duplicate records pose significant challenges in customer relationship management (CRM)and healthcare, often leading to inaccuracies in analytics, impaired user experiences, and compliance risks. Traditional deduplication methods rely heavily on direct identifiers such as names, emails,...

1 min 1 month, 1 week ago
adoption
LOW Academic United States

Transit Network Design with Two-Level Demand Uncertainties: A Machine Learning and Contextual Stochastic Optimization Framework

arXiv:2603.00010v1 Announce Type: new Abstract: Transit Network Design is a well-studied problem in the field of transportation, typically addressed by solving optimization models under fixed demand assumptions. Considering the limitations of these assumptions, this paper proposes a new framework, namely...

1 min 1 month, 1 week ago
adoption
LOW Academic United States

Mapping the Landscape of Artificial Intelligence in Life Cycle Assessment Using Large Language Models

arXiv:2602.22500v1 Announce Type: new Abstract: Integration of artificial intelligence (AI) into life cycle assessment (LCA) has accelerated in recent years, with numerous studies successfully adapting machine learning algorithms to support various stages of LCA. Despite this rapid development, comprehensive and...

1 min 1 month, 2 weeks ago
adoption
LOW Legal & Compliance United States

The Rise of AI-Powered Legal Research: Transforming How Lawyers Work

AI-powered legal research tools are fundamentally changing the practice of law, offering unprecedented efficiency while raising questions about quality and oversight.

1 min 1 month, 2 weeks ago
adoption
LOW Academic United States

ECHO: Encoding Communities via High-order Operators

arXiv:2602.22446v1 Announce Type: new Abstract: Community detection in attributed networks faces a fundamental divide: topological algorithms ignore semantic features, while Graph Neural Networks (GNNs) encounter devastating computational bottlenecks. Specifically, GNNs suffer from a Semantic Wall of feature over smoothing in...

1 min 1 month, 2 weeks ago
adoption
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Impact Distribution

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High 0
Medium 1
Low 108