explainable ai

Artificial Intelligence in Dementia with Lewy Bodies — Current Applications, Diagnostic Challenges, and Future Perspectives

Multiodal biomarker studies in mild cognitive impairment with Lewy bodies have suggested that combinations of MRI, EEG, and plasma markers may provide additional prognostic information beyond cognitive testing alone, but these findings should not be interpreted as evidence that AI is ready for autonomous clinical diagn...

Adversarially Robust and Explainable Graph Neural Networks for Fraud Detection in Dynamic Blockchain Networks: A Systematic Solution-Based Literature Review

Blockchain technology has revolutionized digital financial systems through decentralized, transparent, and secure transactions. However, the increasing sophistication of blockchain systems has coincided with the emergence of complex illicit activities, including ransomware transactions, Ponzi schemes, phishing, and mon...

Development of an Adaptive AI Physics Tutor Based on a Large Language Model to Improve Scientific Literacy and Remediate High School Students’ Misconceptions

A theoretical framework for an Adaptive AI Physics Tutor, a new-generation Intelligent Tutoring System integrating LLM architecture, Retrieval-Augmented Generation, a Misconception Detector, and a Student Model into one personalized, adaptive learning ecosystem is formulates.

Toward an integrated framework of media dependency: a theoretical review of uses–dependency and new media dependency models

This theoretical review brings together and explores the evolution and real-world applications of three key frameworks in media dependency theory: the classic Uses and Dependency Model, adaptations for Internet use, and the New Media Uses and Dependency Effect Model. Over the past fifty years, scholars have expanded de...

Patterns of AI-generated teaching recommendations in accounting education: A qualitative analysis of ChatGPT responses

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Explainable Machine Learning and Generative AI for SHAP-Guided Modification of Residential Interior Images: Predictive Associations and Algorithm-Derived Spatial-Quality Scores

With the increasing adoption of data-driven methods in architecture and design, the quantitative assessment of residential interior spatial quality and model-informed modification of residential interior images have become increasingly important. This study develops an explainable machine-learning and generative AI-ass...

Predicting facial impressions using guided Grad-CAM and a large language model

Facial impressions are central to social interaction, shaping judgments of attractiveness, dominance, and trustworthiness. Although psychophysical research has identified factors that contribute to these impressions, computational methods, particularly deep learning, offer a complementary, data-driven identification of...

Generative debunking of climate misinformation

Misinformation is a persistent roadblock to progress on climate change, and the ubiquitous, rapid spread of misinformation means that manual solutions are inadequate to meet the scale of the problem. While many studies have developed methods for automated detection of misinformation, the generation of effective debunki...

The Evolving Security of the Internet of Vehicles: A Survey from Classical Machine Learning to Large Language Models, Adversarial Robustness, and Explainable AI

The Internet of Vehicles (IoV) connects vehicles, roadside infrastructure, and cloud or edge platforms to support safer and more efficient transportation. This connectivity also exposes vehicular networks to message spoofing, denial-of-service, and man-in-the-middle attacks, and to threats that target the machine-learn...

When AI Writes the Text: AI-Assistance Depth and Recorded Disclosure in University Application Essays

Generative artificial intelligence has made assistance with university application essays easier to obtain, but disclosure rules often treat all use as a single category. This study examined whether the absence of AI disclosure varied with the functional depth of assistance. Of 684 applicants recruited through 10 couns...

Governance by Negotiation: How Organizations Translate AI Ethics into Practice

EXPLORING THE USE OF GENERATIVE AI TOOLS IN INDUSTRIAL ENGINEERING AND MANAGEMENT PROFESSIONALS: AN APPLIED UTAUT2-INFORMED STUDY

This study analyses the factors that explain the acceptance and use of generative Artificial Intelligence (GenAI) tools by Industrial Engineering and Management professionals, based on the UTAUT2 model. An online questionnaire was administered, yielding 140 valid responses, analyzed through descriptive statistics and P...