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explainable ai

2,388 papers

#explainable ai Open access Sep 2026

AntiMatter: Wilson-Line and Cosmology Audit - Efficiency-Dependent Energy Bounds and Reproducibility (v1.23.1)

AntiMatter v1.23.1 is a theoretical research checkpoint and reproducibility release. It preserves the August 17, 2026 v1.23 audit and adds an efficiency-dependent energy calculation. No successful derivation of the observed matter-antimatter asymmetry or completed unified theory is claimed. The inherited audit identifi...

Ricardo Maldonado · 0 citations
#explainable ai Open access Sep 2026

Explainable Artificial Intelligence through Causal Inference and Decision Support

This paper explores the integration of causal inference with explainable artificial intelligence (XAI) to enhance decision support systems. Traditional XAI methods often struggle with providing true explanations for decisions, particularly in complex scenarios where correlation doesn't imply causation. This research pr...

Jincheng Zhang · 0 citations
#explainable ai Open access Sep 2026

Explainable Artificial Intelligence through Causal Inference and Decision Support

This paper explores the integration of causal inference with explainable artificial intelligence (XAI) to enhance decision support systems. Traditional XAI methods often struggle with providing true explanations for decisions, particularly in complex scenarios where correlation doesn't imply causation. This research pr...

Jincheng Zhang · 0 citations
#explainable ai Dataset Open access Sep 2026

Unravelling Long-Term Mangrove Dynamics and Key Drivers in the Sundarbans, Bangladesh: Integrating Remote Sensing, Machine Learning, and Explainable AI

This repository contains the processed datasets generated for the study entitled "Unravelling Long-Term Mangrove Dynamics and Key Drivers in the Sundarbans, Bangladesh: Integrating Remote Sensing, Machine Learning, and Explainable AI". The datasets were produced using Landsat satellite imagery and machine learning tech...

Sahanama Eastia, Guo Zhen, YU Jing et al. · 0 citations
#explainable ai Open access Sep 2026

From Crush Triage to Kidney Rescue: Artificial Intelligence for Early Renal Risk Stratification in Crush Injury, Rhabdomyolysis and Major Trauma A Scoping Review and Evidence-Informed Framework Development Study

CRUSH-AKI-AI (From Crush Triage to Kidney Rescue: Artificial Intelligence for Early Renal Risk Stratification in Crush Injury, Rhabdomyolysis and Major Trauma) is a two-phase methodological study combining a scoping review with evidence-informed conceptual framework development. The project aims to systematically map t...

Anna Grimaldi, Stefano Mancin · 0 citations
#explainable ai Open access Sep 2026

Fibonacci Sixth Powers in a Signed Square-Block Sum

At first glance, A392243 comes from a simple rule: add the positive integers in order, changing the sign whenever the running index crosses into a new square-number block. This creates a sequence with a surprisingly rich internal structure. The question at the center of this paper is equally simple: when can one of the...

Jake Foth · 0 citations
#explainable ai Dataset Open access Sep 2026

Unravelling Long-Term Mangrove Dynamics and Key Drivers in the Sundarbans, Bangladesh: Integrating Remote Sensing, Machine Learning, and Explainable AI

This repository contains the processed datasets generated for the study entitled "Unravelling Long-Term Mangrove Dynamics and Key Drivers in the Sundarbans, Bangladesh: Integrating Remote Sensing, Machine Learning, and Explainable AI". The datasets were produced using Landsat satellite imagery and machine learning tech...

Sahanama Eastia, Guo Zhen, YU Jing et al. · 0 citations
#explainable ai Open access Sep 2026

Helical Holographic Quantum Mechanics (H3QM): A Unified Theory of Geometric Physics

Modern physics relies on a fragmented Standard Model, inventing disparate particles and fields to explain isolated phenomena. Harmonious 3D Quantum Manifold (H3QM) introduces a fundamental simplification: the universe operates upon a single ontological entity governed entirely by 3D geometric motion. By defining fundam...

Cosmo Chou · 0 citations
#explainable ai Open access Sep 2026

PlanX GeoStats Lab

PlanX spatial analysis lab for QGIS planning workflows: data preparation, urban pattern scanning, hot spots, centers, exploratory models and scenarios, and machine learning and explainable AI.

Yusuf Eminoğlu · 0 citations
#explainable ai Open access Sep 2026

AntiMatter: Wilson-Line and Cosmology Audit - Efficiency-Dependent Energy Bounds and Reproducibility (v1.23.1)

AntiMatter v1.23.1 is a theoretical research checkpoint and reproducibility release. It preserves the August 17, 2026 v1.23 audit and adds an efficiency-dependent energy calculation. No successful derivation of the observed matter-antimatter asymmetry or completed unified theory is claimed. The inherited audit identifi...

Ricardo Maldonado · 0 citations
#explainable ai Open access Sep 2026

Quantized Horizon Response (HRF): Composite-Alternative Separation and Fixed-Conditioning GW250114 Replay - v5.3

Methods and reproducibility release. Research package v72; Zenodo publication version v5.3. This release makes available the corrected GW250114 HRF composite-alternative separation methods, numerical design calculations, and the archived fixed-conditioning -7M raw-grid replay, together with a September 2026 publication...

Ricardo Maldonado · 0 citations

From tech blogs

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GPT-Lab Oct 14, 2026

Building trustworthy AI: The role of AI harnesses, intent contracts and evals

AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.

Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.

GPT-Lab Oct 12, 2026

AI Has Grown Up. Have We?

AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.

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