explainable ai

AI Fundamentals – Unit II: Applications of Artificial Intelligence

Unit II – Applications of Artificial Intelligence is an Open Educational Resource (OER) presentation developed for the undergraduate AI Fundamentals course. This presentation introduces the applications of Artificial Intelligence across six important domains: Healthcare, Finance, Retail, Agriculture, Education, and Tra...

Trustworthy AI for Dengue Outbreak Forecasting Using a Temporal Fusion Transformer with Explainability and Uncertainty Estimation

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─...

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...

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...

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...

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...

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...

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...

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),...

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...

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...