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834 papers, from 4 September 2026 to 5 November 2026: 834 arXiv preprints.
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From Regulation to Engineering: Organizational Privacy Climate as Mediator
Data protection legislation aims to protect privacy rights by regulating how information systems store and process personal information.AI Alignment for Digital Democracy: Fairer Voters Representation against LLM Biases
AI representation is emerging in digital democracy, assisting in voter emulation and decision-making.The Language of Instruction: Genre and Generative AI
This article argues that instruction-fine-tuned language models should be understood as implementing a genre, what is proposed as the instructional-conversational genre.Automated identification of ivory carvings using machine learning: A proof-of-concept approach to detecting the illegal wildlife trade
Despite a ban on the international trading of recently poached ivory, elephants are still killed for their tusks.AI-Native Academia Should Build a Community Verification Layer
This paper argues that AI-native academia should build a Community Verification Layer: interoperable, policy-governed infrastructure that converts researchers' routine reading and checking into…DLT Terms 100: a learner's glossary based on ISO 22739:2024
We propose ``DLT Terms 100'' aimed at improving literacy regarding blockchain (distributed ledger technology: DLT).From Clinical Judgment to Checkable Rules: Clinician-Led Guardrails for Mental-Health Chatbots
Large language models (LLMs) deployed in mental-health contexts can be evaluated for safety failures, but the resulting judgments are often difficult to inspect or explain.The Delegation Divide: An Open Index of AI-Agent Delegability across Occupations and Countries
35.2% of task time in world employment is at least partly delegable to AI agents in 2026, and only 2.5% can be handed over in full.Invisibilization as a Source of Probability Bias in Language Models
Language models are aligned to avoid using protected attributes such as race, ethnicity, and gender to inform their responses.What Lies Beyond Perception: A Partition Theory of the Limits of AI Evaluation and Oversight
Replacing the judge can move a benchmark score, and models can be trained to hide capabilities.Silicon Samples Match the Answers but Not the Respondents
Silicon sampling generates survey respondents by having a large language model (LLM) answer a survey as a person with given demographic attributes, and the resulting synthetic populations are…What Does AI Success Look Like? A Mixed-Methods Analysis of Supranational AI Governance Instruments
In the last decade and in particular since 2018, supranational institutions have published policies, guidelines, and most recently regulations to govern development and use of Artificial…A Grammar of French Civil Cassation: A Ground-Level Dataset and Tool
This paper presents a dataset of 121,536 ground-reasons pairs across 86,464 rulings of the five civil chambers of the French Court of Cassation (2016-2025).Network topology shapes consensus and vulnerability in LLM populations
As large language models (LLMs) are deployed in interacting populations, their collective behaviour depends not only on the models but also on who interacts with whom.What the submission does not show: Complexifying cognitive offloading in students' mathematical work with LLMs
A common concern is that using large language models (LLMs) lets students offload mathematical work that tasks are designed to elicit.Making Generative AI Workable at Work: Accountability, Localization, and Representation in Kenyan and Nigerian Small Businesses
Generative AI is widely framed as democratizing skilled work by lowering the barrier to producing professional output.ClinGuard: a governance framework for reliable, transparent, and auditable clinical coordination
ClinGuard is a model-agnostic governance framework that treats clinical coordination as patient-scoped, policy-bound transactions rather than free text.AI Risk Ontologies for the EU AI Act Compliance: AIRO, VAIR, and their Integration with DPV
As the use of AI, and consequently its harms, becomes more prevalent, the global discourse around AI has become increasingly risk-aware.Would an LLM Match into a Residency? Uncertainty, Reasoning and Image Use of Open Language Models on the Spanish MIR Examination
Accuracy on medical examinations is common evidence offered for the clinical use of language models, yet a health system that intends to run an open model on its own hardware needs to know…VERA: A Responsible AI Dashboard for Assessing LLM Deployments in Light of the EU AI Act
Institutions that deploy large language models in regulated settings often need technical evidence of responsible AI practices before approving a deployment.