explainable ai

BOOK - The Architecture of Permanence From the Riemann Hypothesis to Deterministic Cognitive Engineering

📚 THE ARCHITECTURE OF PERMANENCE: From the Riemann Hypothesis to Deterministic Cognitive Engineering Overview Author: Frank Morales Aguilera, BEng, MEng, SMIEEE Affiliation: Sovereign Machine Laboratory (SOMALA), Montréal, Canada Year: 2026 Deterministic Seed: 123 This manuscript documents a single mathematical princi...

AI Tools for Students

Artificial Intelligence (AI) has become the indispensable element of the modern educational process that offers groundbreaking instruments to make the process more efficient, creative, and productive in terms of learning, creation, and academic achievements. Thoughtfully tutoring systems and customized learning guides...

Tensions in Dental AI Systems Adoption: A Narrative Review of Challenges and Opportunities

Artificial intelligence-based systems (AIS) are becoming part of dentistry. Their integration raises unresolved tensions for users such as trust, explainability, responsibility, professional autonomy and real-world usefulness. This concise review examines these tensions and discusses how they may shape the adoption of...

Intelligence Layering in Accounting Information Systems: A Theory of Progressive AI Embedding in Financial Reporting

Artificial intelligence (AI) is increasingly embedded in accounting information systems (AIS), yet much of the emerging literature conceptualizes AI either as a collection of discrete technologies or as an organizational innovation whose adoption can be explained through established technology-acceptance and technology...

Responsible AI in healthcare: Navigating ethics and governance challenges

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...