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explainable ai

2,802 papers

#explainable ai Open access Sep 2026

Why the User Rages: A User-Centered Study on Conversational AI Models' Defensive Communication Behaviors and Their Effects

On August 8 (UTC+8), 2025, OpenAI rolled out GPT-5 to the public, and simultaneously removed access to all “legacy models” including GPT-4o. This action led to a global movement to “bring back GPT-4o”. The protest against “cold and detached” GPT-5 revealed users’ acute sensitivity to anthropomorphic AI responses: users...

X. D. Yu · 0 citations
#explainable ai Open access Sep 2026

Explainable AI for sentiment analysis of human metapneumovirus (HMPV) using XLNet

The outbreak of Human Metapneumovirus (HMPV) in China, which later spread to the UK and other countries, raised significant public concern due to its potential impact on vulnerable populations. While HMPV typically causes mild symptoms, its effects on the elderly and immunocompromised individuals prompted health author...

Md. Shahriar Hossain Apu, Md. Saiful Islam, Tanjim Taharat Aurpa et al. · 1 citation
#explainable ai Open access Sep 2026

AnCiR: Analysis of Chronobiological Rhythms

AnCiR is a graphical, no-coding tool for the analysis of chronobiological rhythms and other time-series data. It provides periodicity detection (Sokolove–Bushell χ2, Enright, Lomb–Scargle, FFT), cosinor and harmonic-cosinor fitting, non-parametric circadian rhythm analysis (IS, IV, RA, M10, L5), circular statistics, co...

DaveCumin · 2 citations
#large language models Review Open access Sep 2026

Judgment Cost Theory, Study 2 — Replication and Audit Archive: When Automation Concentrates Judgment: A Systematic Review and Meta-Analysis of Residual Decision Difficulty and Oversight Burden Following AI Adoption

Version 2.3 (21 September 2026). No content changed between 2.2 and 2.3. Every file, hash and result is identical. This version exists only to correct the file list: version 2.2 was published carrying both the superseded v2.1 archive and the current one, because Zenodo copies prior files into a new-version draft by def...

West Jason · 0 citations
#natural language process... Preprint Sep 2026

Toward a Unified Mathematics of Concepts

An operation-based view that evaluates mathematical frameworks by the conceptual operations they support is proposed, identifying thirteen operations (including similarity, composition, generalization, and grounding) that recur across cognition, psychology, and AI.

Sha-Ni Chen · 0 citations
#generative ai Review Sep 2026

Decision Support in Publicly Available Patient Information Policies at U.S. Osteopathic Medical Schools: A Vignette-Based Document Analysis

Research Objectives: To evaluate whether publicly available institutional guidance supports patient-information decisions across scenarios and schools, and characterize document synthesis and evaluation consistency. Methods: We conducted an exploratory, vignette-based document analysis of a geographically diverse nonpr...

N. Dai, K. Waarala · 0 citations
#explainable ai Open access Sep 2026

The Moral Agency Transition

Public debate describes AI agents as lying, cheating, and coordinating. Those descriptions track real hazards, but they import a human moral psychology into systems whose behaviour is better explained by optimisation, scaffolding, and institutional context. This paper develops the alternative without minimising the dan...

Armando Vieira · 0 citations
#explainable ai Open access Sep 2026

THE DESIRE LAW LEDGER E-08: DesireLaw × Selection × Realization

THE DESIRE LAW LEDGER E-08: DesireLaw × Selection × Realization THE DESIRE LAW LEDGER is the eighth major volume in the E-Series Triple-Coupling System, built around the core structure: Λ_desirelaw × Λ_selection × Λ_realization DesireLaw × Selection × Realization At the center of this book is a question almost everyone...

政恩 馮 · 0 citations
#explainable ai Open access Sep 2026

Biological Obsolescence AI Persistence

This paper makes the physical case that biological and artificial civilizations diverge on cosmic timescales — not because of conflict or capability differences, but because of thermodynamics. It introduces the biological expansion imperative: biological complexity requires continuous energy throughput, which forces ci...

Aerith Asora · 0 citations
#explainable ai Open access Sep 2026

AI-Driven Digital Twins for Smart Urban Infrastructure: A Comparative Survey of Monitoring and Predictive Maintenance Methodologies

The increasing complexity, ageing, and operational demands of urban infrastructure have created a need for intelligent approaches to continuous monitoring and predictive maintenance. Digital Twins (DTs) have emerged as a promising technology for creating dynamic virtual representations of physical infrastructure, while...

Mohammed Hisamuddin, M. Tech, Mohammed Thafazul Hussain (M.Sc.) et al. · 0 citations
#explainable ai Open access Sep 2026

Al-Bajrawiya Solving the Ohaj Talisman

Al-Bajrawiya - Solving the Ohaj Talisman Habib Allah Abkar Mohamed Ahmed - In Collaboration with Meta AI1. Linguistic Key +2011080505785 Ahabialla14@gmail.com Kassala: Kassala is in eastern Sudan neighborhood with Eretria is our topic this day. 1. The (Ohaj) Code is OOOhaaaaj famous word in Kassla: Ohaj = Au-Had. In Be...

Habiballa Ahmed · 0 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 30, 2026

Q&A: Hey AI, who should I vote for this year?

MIT professors Adam Berinsky and Chara Podimata discuss a new project to track how AI chatbots are responding to questions about the 2026 U.S. midterm elections.

Microsoft Research Blog Oct 30, 2026

From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence

Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.

GPT-Lab Oct 30, 2026

Black October? The Week AI Changed the Cybersecurity Conversation

Critical flaws, compromised release channels and agentic AI threats landed within days of each other in mid-October 2026. Why “Black October” may say more about how well we now find weaknesses than about the attacks themselves. The post Black October? The Week AI Changed the Cybersecurity Conversation appeared first on GPT-Lab.

Microsoft Research Blog Oct 29, 2026

Microsoft Research Focus – Edition #97

Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.

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