Skip to content

Category

explainable ai

2,383 papers

#explainable ai Open access Sep 2026

The Usual Explanation of the Brazil-Nut Effect Fails on the Size of the Gap ── The gap between three 20 mm spheres admits only 3.0940 mm ── For "small grains fall through the gaps" to work, the diameter ratio must be at least 6.4641, while the effect is seen at about 4 ── It is the explanation that fails, on geometry ── [Paper 365]

Shake a mixture and the large grains come to the top. This paper asks whether the usual explanation survives the geometry──the answer is that it does not: the gap is too small. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem and no new law is claimed─...

Yuuki Yamagishi · 0 citations
#explainable ai Open access Sep 2026

AI -Augmented HRM: transforming talent acquisition and employee experience in 2026.

Artificial Intelligence (AI) is becoming increasingly usual in HR management, especially in talent acquisition and AI-assisted decision making. But, in addition to the technological capacities, the successful application of AI needs HR professionals to understand and evaluate the recommendations of AI. In the present r...

Binu Menon, Saraswathy Kumar · 0 citations
#explainable ai Book Sep 2026

Policing the Dark Web in the AI Era

The fast growth of dark web processes has made cybercrime an adaptive and intelligence-driven phenomenon that warrants a change in thinking about digital policing, traditionally basing it on fixed rules and post hoc investigation. The strategy involves integrating transformer-based semantic analysis, time behavior and...

Udit Mamodiya, Indra Kishor · 0 citations
#explainable ai Open access Sep 2026

Code for: Deep Learning for Odontoid Fractures: The Critical Role of Patient-Level Partitioning and Grad-CAM Verification in Model Generalization

Description This repository contains the complete, reproducible PyTorch source code for the study "Deep Learning for Odontoid Fractures: The Critical Role of Patient-Level Partitioning and Grad-CAM Verification in Model Generalization". The codebase implements an end-to-end deep learning framework designed to eliminate...

Yunus Emre Kıymaz, Şakir Taşdemir, Burak Gezer et al. · 0 citations
#explainable ai Open access Sep 2026

Beyond Traditional Engineering: How BIM Is Reshaping Engineering

This conceptual working paper introduces the Integrated BIM-to-Decision Framework, a six-layer architecture that connects the origin of information demand to accountable engineering decisions and closes the process through structured feedback. It addresses a persistent limitation in BIM implementation: the tendency to...

Housien Al khadraa · 0 citations
#explainable ai Open access Sep 2026

ARTIFICIAL INTELLIGENCE IN VIRAL HEPATITIS: ADVANCING EARLY DETECTION, PERSONALIZED TREATMENT, AND GLOBAL ELIMINATION STRATEGIES

Viral hepatitis remains a major global cause of chronic liver disease, cirrhosis, hepatocellular carcinoma, and liver-related mortality despite advances in vaccination, antiviral therapy, and public health interventions. Delayed diagnosis, asymptomatic disease progression, limited healthcare access, and unequal resourc...

Dr. Pammi Usha Sri M. Chetana S. Divya S. Niharika · 0 citations
#explainable ai Review Open access Sep 2026

Trust calibration in human-AI collaborative decision-making: a cross-domain investigation of climate intelligence and organisational governance systems

The proliferation of artificial intelligence (AI) in complex decision environments has intensified scholarly and practical interest in how humans calibrate trust when collaborating with intelligent systems. This paper presents a cross-domain empirical investigation of human-AI collaborative decision-making across cli...

Elizabeth I. Igbodor, I. Mordi, Ngozi B. Umoru et al. · 0 citations
#explainable ai Open access Sep 2026

Teachers' Competences for Digital Sustainability in Austria. A survey amongst (future) teachers.

This report presents the results of the DigiSET teacher survey conducted in Austria, as part of the Erasmus+ project “DigiSET – The Academy of Digitally Sustainable European Teacher” (101249272). The survey aimed to assess (future) teachers' self-perceived competences in digital teaching, artificial intelligence (AI),...

Sandra Schön, Benedikt Brünner, Martin Ebner et al. · 0 citations
#explainable ai Review Sep 2026

From responsibility gaps to meaningful human control: an ethical and regulatory governance framework for intelligent AI systems

The study demonstrates how MHC can be translated from an ethical principle into governance practice and shows that meaningful control depends not only on human involvement in decisions, but also on defined purposes and boundaries, operational procedures for review and correction, legal safeguards, and institutional cap...

Tak-Ming Yu, Xia Zheng, Hoi-Kuen Ng · 0 citations
#explainable ai Open access Sep 2026

Vectores de Desviación: Cartografía Operativa y Clasificación Sistemática de Maniobras Cognitivas en Sistemas Humanos y Algorítmicos

An Operational Atlas of Cognitive Maneuvers / Atlas Operativo de las Maniobras del Desvío Adaptive Interference Theory / Teoría de la Interferencia Adaptativa ABSTRACT The Theory of Adaptive Interference (TIA) proposes that cognitive systems—human and algorithmic—can reorganize their responses under dialectical pressur...

Teodoro Escaño · 0 citations
#explainable ai Sep 2026

When Regulation Meets Innovation: How AI Governance Shapes Compliance and Organizational Performance

With the rapid advancement of Information Technology, including Artificial Intelligence (AI), organisations are innovating much faster, yet at the same time are also dealing with the complexities of regulation and governance. But as AI regulations continue to develop, organizations are faced with a challenge to impleme...

Anilreddy , Thu Phuong Bhimavarapu , Vu · 0 citations
#explainable ai Open access Sep 2026

A Quantitative Explainability Framework for Multimodal Tuberculosis Screening Using Late Fusion and Quadrant-Based Grad-CAM

Tuberculosis (TB) remains a major global health challenge, particularly in resource-constrained settings where timely access to expert radiological interpretation is limited. Although artificial intelligence (AI)-based chest X-ray (CXR) screening systems have demonstrated promising diagnostic performance, limited expla...

Furaha Marwa · 0 citations

From tech blogs

See all →
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.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.