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834 papers, from 4 September 2026 to 5 November 2026: 834 arXiv preprints.
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Generalized green and red concepts for artificial intelligence, big data, and information and communication technologies: Multidimensional framework and countermeasures
The rapid expansions of artificial intelligence (AI), big data (BD), and information and communication technologies (ICT) are driving substantial growth in electricity, water, and material demands…Mining Frames: Association Rule Mining as an Unsupervised Framework for News Framing Detection
Computational framing analysis is dominated by supervised classifiers that require large annotated corpora and predefined frame taxonomies, limiting their use for non-English languages, novel…An AI Factory for Technology Education: An Agentic Pipeline with Closed Loop Audience Feedback
Technology tools used for professional upskilling change on a timescale of weeks, and written guidance about them ages at the same pace.AusClinBench: a deterministically scored benchmark of large language models against current Australian clinical policy
AI models already inform clinical decisions and draft notes in Australian clinical software, usually without the practitioner being told which model is used.The Capability Transfer: Cohort Reversal, Codified Expertise, and the Adaptability Tax of AI Transformation
Most analyses of AI and employment ask which jobs are exposed.From Canon to Nikon: Camera Domain Shift and Potential Equity Implications in Retinal AI
Diabetic retinopathy is a leading cause of preventable blindness, yet access to regular screening remains limited worldwide.Two for One: Privileged Learning for Resource-Constrained Screening
Machine learning systems are often developed under data-rich conditions but deployed when only incomplete information is available.Situating Vulnerability: An Ethical Governance Framework for Anthropomorphic AI Interaction
Large language models increasingly address users in the register of care: they remember personal details, adopt a first-person emotional voice, and sustain relationships across many sessions.Policy Central: Detecting Conflicts, Redundancy, and Similarity in Deployed Police Policy
Policy Central is a deployed system that helps police departments find relationships between sections of their written policy: whether two sections conflict, are redundant, are merely similar, or…Uncensored Is Not Unbiased: Abliteration Removes Refusals but Not Script-Dependent Bias About Taiwan
"Abliterated" ("uncensored") builds of open-weight language models remove the activation direction that mediates refusal, and are popular partly on the assumption that a model that no longer refuses…The Privacy Paradox Is a Misnomer: Data Under Structural Uncertainty
The infamous privacy paradox refers to the apparent inconsistency between people's stated concern for privacy and their readiness to disclose personal information.Where Do LLMs Learn to Recommend AI?
Asked what to study, which career to pursue, or what product to build, large language models (LLMs) often recommend AI-related options.Privacy Preference Controls for Agentic Systems
In response to vast and widespread online tracking, regulators and technologists alike have worked to develop laws and tools that allow people to express their privacy preferences.Commit or Abstain? System One Decision Models, LLMs, and Missing Legal Authority
Given the enormous number of claims to be checked, verifiable legal AI requires scalable, cost-effective models that answer the practical needs of law.Gender, Sexual Orientation, and the One-Year Refugee Bar: A Computational Study of Bill C-12 and Canadian Refugee Adjudication
In March 2026, Bill C-12 amended the Immigration and Refugee Protection Act to make refugee claims ineligible for referral to the Refugee Protection Division where they are made more than one year…The Customer Is the Builder: How AI Coding Agents Are Rewriting the Economics of Software
AI coding agents could change whether organizations buy software or build the functionality they need.Probing and Steering for Safety-Relevant Behaviours in Large Language Models
Activation probes are computed directions in a language model's residual stream, used both to detect safety-relevant behaviours and, by adding their direction back into the stream, to steer them.Prefigured forgetting. Memory, the right to be forgotten and artificial intelligence
This inaugural keynote lecture surveys the state of the art of the right to be forgotten and examines how it is being transformed by artificial intelligence.X-pressing Intimacy: Mental Health Disclosure After Twitter Acquisition
Social media platforms provide spaces for individuals to disclose mental health experiences and seek support, yet how these disclosures evolve during major shifts in platform governance remains…Behind Aggregate Scores: What Systematically Varying Arena-Hard's LLM Judge Reveals
LLM judges are used to determine which of two answers is better.