explainable ai

Machine learning and AI approaches for predicting microplastics levels in water systems resulting from anthropogenic activities

AI Marketing Capabilities and Purchase Intention in Indonesian E-Commerce: Mediating Effects of Platform Trust and AI Transparency, and a Strategic Marketing and Digital Human Resource Capability Perspective

Background AI-driven personalized marketing is increasingly important in e-commerce, yet how personalization translates into purchase intention remains underexplored. Platform Trust and AI Transparency have received limited empirical attention as mediating mechanisms, particularly in the Indonesian context. Methods A q...

AI-Enabled Learning Analytics and Digital Pedagogy for Sustainable Higher Education Decision-Making

This chapter develops an AI-enabled learning analytics framework for sustainable higher education decision-making. Responding to fragmented institutional data environments, it integrates learning management, student information, feedback, advising, intervention, progression, and quality assurance data through enterpris...

Analyzing the Use of Artificial Intelligence to Support Education and Scientific Writing among Students Using the UTAUT2 Model

The rapid advancement of artificial intelligence (AI) has created new opportunities to support learning and scientific writing among students. This study examines the factors influencing students’ adoption of AI for educational and scientific writing purposes using the Unified Theory of Acceptance and Use of Technology...

Large language models in healthcare: applications, evaluation frameworks, and governance pathways — a scoping review and multidimensional framework

Current evidence supports cautious deployment of LLMs in selected healthcare tasks under structured oversight, and the proposed five-dimensional framework coupled with a three-tier risk model is intended to support researchers and healthcare organisations in assessing readiness and implementing LLM-enabled tools respon...

Artificial intelligence for sleep-disordered breathing: a taxonomy of methods, data modalities, and clinical applications

Sleep-disordered breathing (SDB), particularly obstructive sleep apnea (OSA), is a highly prevalent group of disorders associated with disrupted sleep, intermittent hypoxemia, excessive daytime sleepiness, neurocognitive impairment, and cardiometabolic morbidity. Although laboratory polysomnography remains central to d...

A Bibliometric Analysis of Explainable Artificial Intelligence in Trustworthy System Development (1968–2024)

Artificial intelligence and machine learning-based models are widely used across various domains, including healthcare, finance, cybersecurity, agriculture, education, and transportation. However, the black box nature of these AI models limits the trust in critical areas like healthcare, finance, etc. Explainable AI (X...

Smart healthcare systems with improved cybersecurity by AI integration

Prediction of Brain Stroke Risk Using Machine Learning and Deep Learning: An Hybrid XGBoost-ResNet-18 CDSS

A hybrid artificial intelligence based clinical decision support system (CDSS) for evaluating brain stroke risk based on a combination of structured clinical indicators with medical images and Explainable AI (XAI) techniques such as SHAP (SHapley Additive exPlanations) to provide an interpretation at the feature level...

Federated Cognitive Parliament: A Democratic Framework for Agentic Decision-Making Over Data

As more autonomous AI agents are deployed in the form of distributed data ecosystems, there is an increased pressure on the necessity of having transparent, responsible, and ethically consistent decisions. Classical frameworks of governance in dealing with complexity of federated and setting where stakeholders possess...

Spatiotemporal evolution and drivers of eco-environmental quality for sustainable rural tourism in China’s Yangtze River Basin: an explainable AI approach

Balancing tourism-driven growth (SDG 8.9) with terrestrial ecosystem conservation (SDG 15) is vital for sustainable watershed management. Focusing on 409 Key Rural Tourism Villages in China’s Yangtze River Basin, this study integrates Google Earth Engine and MODIS data to assess eco-environmental quality (EEQ) from 200...

Governing the Algorithm

AI (Artificial Intelligence) has transformed adaptive learning by enhancing student engagement, automating assessments and customizing education. But a formal regulatory structure is essential because of the ethical restrictions of AI governance such as algorithmic bias, data privacy problems, transparency gaps, and ac...