explainable ai

Public acceptance of autonomous flying cars in urban air mobility: The mediating role of trust

The widespread deployment of autonomous flying cars relies heavily on artificial intelligence, making public trust in AI a prerequisite for willingness to fly. However, how AI-related attributes shape this trust and adoption willingness remains underexplored. Based on the integrative model of trust, this study investig...

Systematic Evidence Synthesis for Non-Invasive Hemoglobin Estimation Using Multispectral Photoplethysmography and Interpretable AI

Over 1.6 billion people worldwide suffer from anemia, with low-resource groups, pregnant women, and small children the most affected. Invasive venipuncture and laboratory spectrophotometry are used in standard diagnosis; these procedures are uncomfortable, involve a risk of infection, and need infrastructure that restr...

Works for 10/11/2026 - Pamela Colman Smith

Listen and ask questions on Gemini Notebook: https://notebook.google.com/notebook/8f8ea0c8-a99d-4557-9c66-6176d3aa84bf?authuser=1 Take Away the Sins of the World — Tarot, Catholic Universality, Artificial Intelligence, and the Scientific Method of Learning to Love This paper investigates how observation, historical inq...

BBC and NHK trust reproduction code and aggregate materials

Companion Python code, aggregate numerical outputs, figures and reproducibility instructions for How Robust Are Political Differences in Trust in Public Service Broadcasters? A Same-Data Reproduction and Threshold Analysis of BBC and NHK Surveys. Version 1.0.0 contains 64 listed components; source input hashes, depende...

Explainable AI (XAI) and Hybrid Deep Learning Frameworks for Breast Cancer Image Segmentation and Classification: A Systematic Review

Harnessing business value from artificial intelligence through dynamic capabilities and sociotechnical microfoundations

Purpose Artificial intelligence (AI) can be used to automate repetitive business processes, enhance employee capabilities and augment managerial decision-making across industries. However, many organisations struggle to translate AI initiatives into sustained strategic value. This gap between AI's potential and realise...

Integrating Rice Husk Ash- Material Science and Artificial Intelligence for Sustainable Cementitious Material Design

The increasing demand for sustainable and low-carbon construction materials has intensified research into supplementary cementitious materials derived from agricultural residues. Rice husk ash (RHA), owing to its high amorphous silica content, pozzolanic activity, porous morphology, and potential to reduce Portland cem...

Enterprise Systems, Data Management, and Enterprise Resource Planning (ERP): Conceptual Foundations

Over the past few decades, organizations have systematically shifted from fragmented, function-specific software tools toward integrated enterprise architectures, with Enterprise Resource Planning (ERP) serving as the central technological backbone and a codified model of organizational operations. As contemporary digi...

FIT: Origins and Foundations of the Predictions

This manuscript presents a revised account of the assumptions, calculations, and unresolved derivations underlying selected predictions of Fundamental Information Theory (FIT). It examines three central hypotheses: normal neutrino mass ordering with a massless lightest state, a leptonic CP phase within 270°–290°, and a...

Can Artificial Intelligence Personalize Learning? An Analysis of AI-Based Adaptive Learning Systems for Senior School Students

Most classrooms still move at one speed. A teacher with thirty or forty students has to choose a pace that suits the middle of the class, which leaves weaker students behind and keeps stronger students waiting. AI-based adaptive learning systems promise to change this by watching how each student answers, estimating wh...

S.A.F.E agentic: a trustworthy credit scoring system with a conversational platform

Credit scoring is an area where Machine Learning models should be evaluated not only for predictive performance, but also for fairness, explainability, and robustness as part of a broader trustworthy-AI governance process. This paper presents a SAFE agentic credit-scoring system that coordinates multiple stages of Mach...

Position: AI Systems Should Be Designed to Develop Their Users, Not Just Assist Them

Human-facing AI systems are mainly designed and evaluated for what they do for users, and seldom for what sustained use does to users' own capabilities. Evidence that AI use can erode, preserve, or improve human capability is accumulating across several fields, but it remains scattered and has not yet shaped how AI sys...