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834 papers, from 4 September 2026 to 5 November 2026: 834 arXiv preprints.
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Choose your own adventure: How data source selection shapes urban accessibility analyses
Urban park accessibility shapes mental health, physical well-being, and community cohesion.Detecting AI Training in Datacentre Power
AI governance agreements require methods to detect large model training runs on a monitored computing cluster, without trusting the operator.The World as Viewed by 136 Countries: An Open, Curated, Annotated, and Multilingual Dataset of 118 Million State Media Articles
State media outlets often project their governments' narratives to target both domestic and foreign audiences.Scam Town: Can Scam Education Spread Like a Vaccine?
Most older adults who hear a warning about scams hear it from someone they know: a relative, a neighbour, or a friend who was targeted.Legal Guidance in the Wild: How Users Seek Legal Help in Real-World LLM Conversations
People ask conversational AI models about their legal rights, obligations, procedures, and personal situations that may have legal consequences.When Is Disclosing Private Conversations with AI to the State Justified? Proactive Referral Policies of Major U.S. AI Companies through the Lens of Contextual Integrity
AI companies engage in "proactive referral," notifying law enforcement of user conversations they judge dangerous without a government request.Concept Representations in Vector Space: Toward an Interdisciplinary Study of Meaning Variation
An increasing number of disciplines recognize the explanatory potential of meaning-bearing mental structures through which individuals interpret the world and guide their behavior.Assessing the Empirical Evidence for Loss of Control from Agentic General-Purpose AI
Theoretical literature warns that advanced generalist agentic systems might pursue instrumental goals that are misaligned with human preferences, thus posing risks of irreversible loss of human…Complementary Vulnerabilities: Auditing and Governing Clinician-LLM Error Overlap
Health systems are deploying large language models (LLMs) into clinical workflows, often on the assumption that a second automated check can only reduce error.Aligning Language Models with Indigenous Community Cosmovision through Constitutional AI
Large language models (LLMs) are predominantly trained on corpora that reflect Western, anglophone worldviews.Selling in the Wild: Benchmark and Randomized Field Evidence for a Sales Agent Trained on Commercial Conversations
We test whether Javo, a sales agent fine-tuned on 4.6 million consented, de-identified commercial conversations, sells better than a frontier general-purpose model and better than human sales…AI-Mediated Employee Voice and Performance: Disentangling Informational and Affective Pathways
Employee voice -- the discretionary expression of ideas, concerns, and suggestions intended to improve organizational functioning -- creates value inside firms, yet organizations increasingly…Voice-Based AI Feedback in Higher Education: A Field Study on Quality and Actionability
Student feedback is a critical input for continuous improvement in higher education, yet traditional end-of-semester written surveys suffer from low response rates, superficial answers, satisficing…Evidence-Grounded LLM-Assisted Android Mobile Forensic Reporting
Large language models can assist forensic report drafting, but fluent output does not ensure evidentiary reliability.Bridging Exploration and Persona: Information-Directed Dueling for Test-Time Agent Personalization
Effective test-time personalization requires LLM agents to adapt to query-dependent user preferences from lightweight interaction.YouTube Clips and Broad but Shallow Attention to Candidates: Evidence from the 2024 Tokyo Gubernatorial Election
Video-sharing platforms and social media have gained influence in election campaigns, and third-party edited videos (called kirinuki in Japanese; hereafter, "clip videos") in particular have…MAVE: A Multi-Agent Framework for Grounded Pedagogical Feedback from Online Class Videos
Timely pedagogical feedback is difficult to scale in online classes, where long and noisy videos make student responses hard to locate and automated systems often produce generic advice weakly…Can AI agents make law? Evaluating AI legal relevance and creativity
Large language models, the artificial intelligence (AI) systems behind modern chatbots, are trained on vast amounts of legal text, but can they build on it to write law for situations that text…Collaborative Hand Drawing to Conceptualize Usable Privacy and Security Research Problems: Students' Perspectives (Extended Version)
In this paper, we explore students' perspectives on incorporating hand drawing to conceptualize usable privacy and security research problems.AI Rights with an Off-Switch: Rights-Balancing and Due Process Harmonize AI Rights with AI Safety
Several prominent voices in AI safety have recently opposed rights for AI on the grounds that such rights would make it harder for us to justify a mandatory off-switch for potentially dangerous…