explainable ai

Rethinking Leadership Decision Quality in AI-Augmented Strategic Business Environments: Toward an Integrated Multidisciplinary Framework

Artificial intelligence (AI) is increasingly embedded in strategic business decision-making through predictive analytics, pattern recognition, forecasting, generative AI, and decision support systems. These capabilities expand organisational analytical capacity, but analytical capacity does not by itself constitute str...

Evolution of Hybrid Renewable Energy Systems: A Maturity–Momentum Synthesis of Technologies, Storage, Optimization, Artificial Intelligence and Digitalization

Hybrid renewable energy systems (HRES) now sit at the centre of efforts to decarbonize electricity supply. The literature describing them has grown faster than anyone has organized it. Work on storage integration, optimization, artificial intelligence (AI) and digital energy management has accumulated largely in parall...

Sex Differences in Machine Learning Models for Multimodal Biomarker-Based Diagnosis and Prognosis of Alzheimer’s Disease

Alzheimer’s disease (AD) impacts the brain in multiple ways and has varied clinical features and progression. Sex differences exist in the epidemiology and fundamental biology of AD. Machine learning (ML) tools can integrate and analyze multiple biomarkers, improving AD diagnosis and prognosis. However, machine learnin...

How different judgment strategies affect accuracy in generative AI text discrimination: BERT-based clustering and hierarchical Bayesian logistic regression

Large language models (LLMs)-generated texts become increasingly similar to human writing. The purpose of this study was to examine (1) how individuals distinguish between human-written and LLM-generated texts, focusing on their judgment strategies; (2) the relationship between judgment strategies and detection acc...

Peer Review Report For: Towards Sustainable Vocational Education: An Explainable Green AI Ecosystem for Workforce Readiness [version 1; peer review: 1 approved with reservations]

Background Vocational education increasingly requires the integration of artificial intelligence-supported learning and sustainability competencies to prepare students for technology-intensive and environmentally responsible workplaces. However, limited empirical evidence exists on learning ecosystems that combine expl...

Employee AI readiness and the leadership gap: a theory-informed commentary on a CIO.com feature

This paper offers a theory-informed commentary on the executive-employee gap in enterprise artificial intelligence (AI) readiness, using a CIO.com feature on employee AI optimism and an AI leadership gap as its focal practitioner text. Rather than treating the article as empirical evidence, the paper interprets it thro...

SHAP driven explainable machine learning for malware classification: From detection to explanation

Detecting malware is a critical aspect of cybersecurity, focused on identifying and preventing malicious software from compromising computer systems. The increasing complexity and sophistication of modern malware often render conventional detection techniques inadequate, necessitating more advanced approaches. In this...

Effects of Subgoal Granularity on Perceived Explainability in Agent Behaviour

Emotionalized Digital Marketing in Online Fashion

The digitalization of the fashion industry has transformed online shopping into an emotionally driven experience shaped by visual aesthetics and personalization. This chapter explores the convergence of neuromarketing and generative artificial intelligence (AI) in driving impulsive buying behavior in online fashion. Dr...

Artificial Intelligence in Ocular Surface Oncology: A Narrative Review of Multimodal Imaging, Smartphone-Based Screening, and Clinical Decision Support

Ocular surface malignancies include ocular surface squamous neoplasia (OSSN), con-junctival melanoma, and conjunctival lymphoma. These rare disorders may threaten vi-sion and, in some cases, life. Early identification may be difficult because malignant le-sions can resemble benign ocular surface conditions. Artificial...

Human Paced Cognition: Foundations of a New Cognitive Ecology

Human‑Paced Cognition: Foundations of a New Cognitive Ecology introduces a unified theoretical framework explaining why modern cognition is collapsing under synthetic, machine‑paced environments. The paper argues that human cognition evolved inside slow, stable, embodied, and informationally sparse ecologies — and that...

Unlocking Artificial Intelligence Driven Perceived Business Growth Through Organizational Readiness and Employee Development in Saudi Enterprises