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explainable ai

2,752 papers

#explainable ai Open access Oct 2026

AI-Driven Business Intelligence for Managerial Decision-Making: The Roles of Prediction Accuracy, Response Speed, Transparency, Explainability, and User Trust

Digital transformation has accelerated the integration of artificial intelligence (AI) with Business Intelligence (BI) to support faster, more accurate, and data-driven managerial decision-making. This study examines the effects of Prediction Accuracy, Response Speed, Transparency, and Explainability on Managerial Deci...

Ika Rosalika, Ibnu Akil, Muhamad Harun et al. · 0 citations
#explainable ai Open access Oct 2026

Benchmarking Supervised Learning, Contextual Transformers, and Explainability Layers for Online Recruitment Fraud Detection

Digital hiring platforms make applicant sourcing fast and scalable, but they also give bad actors an easy way to distribute fraudulent job postings. Detecting Online Recruitment Fraud (ORF) automatically remains difficult because scam texts mimic authentic corporate ads, and natural datasets suffer from severe class sk...

Venkatesh Gajul, Vaishnavi Nigde, Sourik Porya et al. · 0 citations
#explainable ai Book Oct 2026

Building Social Support Networks

Loneliness is one of the strongest predictors of attrition and underperformance among international students, yet most arrive without a strategy for building the support systems that would prevent it. This chapter argues that durable social networks abroad have to be designed rather than stumbled into. The chapter pair...

Genevive Bjorn, Clara Fangfang Ma · 0 citations
#explainable ai Open access Oct 2026

Artificial Intelligence: A Comprehensive Tutorial Review

As artificial intelligence transitions into mission-critical and highly regulated domains, the limitations of monolithic, scale-driven deep learning models-particularly regarding computational unsustainability, brittle robustness, and a lack of logical explainability-have become increasingly apparent.This review provid...

Natig M. Atakishiyev, Tarana H. Aliyeva Gulnara A. Safarova, M. R. Alizada · 0 citations
#explainable ai Book Oct 2026

Ethical AI and Bias Mitigation in Medical Decision Systems

The sudden adoption of artificial intelligence (AI) in modern healthcare systems has created radical possibilities in clinical decision support, diagnostics, and patient management. However, these technological innovations are closely related to serious problems pertaining to algorithmic bias that can trigger the occur...

Akashdeep Bhardwaj, Keshav Sinha, Sumitra · 0 citations
#explainable ai Open access Oct 2026

Agentic AI for Precision Radiotherapy: A Multi-Agent Framework for Clinical Decision Support

Precision radiotherapy is becoming increasingly complex, requiring integration of multimodal imaging, treatment planning, adaptive radiotherapy, and diverse clinical data. This paper proposes agentic AI as a responsible clinical decision-support framework in which multiple specialized AI agents collaborate across imagi...

James C. L. Chow, Kay Li · 0 citations
#explainable ai Book Oct 2026

Leadership in a Future Shaped by AI

Abstract Artificial intelligence (AI) has emerged as a foundational driver of digital transformation, reshaping organizational structures, leadership practices, decision-making processes, and workforce dynamics. As AI-enabled systems are increasingly integrated into operational and strategic functions, organizations fa...

Ashok Chopra, Anita Rani Chopra · 0 citations
#explainable ai Open access Oct 2026

Generative AI-Driven Personalized English Writing Feedback

This study constructed a closed-loop governance framework integrating learning behavior and academic performance big data with generative AI writing feedback. This was done because existing intelligent feedback tools focus on surface-level text generation and ignore learning behaviors, failing to explain differentiated...

Yunying He, Hong Xiao · 0 citations
#explainable ai Book Oct 2026

A Browser-Based Hybrid Deep Learning Framework for Robust Phishing URL Detection

Phishing attacks have become among the most influential cybercrimes at a very fast pace, taking advantage of technical vulnerabilities as well as human vulnerability. Current detection systems are usually unsuccessful with zero-day phishing links, maliciously designed links, and websites generated by AIs. In order to a...

Pratik Kumar Dungano, Deepak Kumar Verma, Chetankumar Chudasama et al. · 0 citations
#explainable ai Open access Oct 2026

Artificial Intelligence Applications for Composite Materials: A Review

Background: Composite materials are not easy to model using traditional experiments and physics-based approaches due to their diverse properties and multiscale nature. This review summarizes how artificial intelligence (AI) methodologies, including machine learning, deep learning, and generative AI, have been increasin...

Nada S. Alharthi, Laila M. Alqahtani, Albatool A. Abaalkhail et al. · 0 citations
#explainable ai Open access Oct 2026

A multidimensional analysis of generative AI adoption in academia: synthesizing TAM3 and UTAUT2 frameworks to predict students’ attitudes and learning effectiveness

The rapid integration of generative artificial intelligence (GenAI) tools into higher education raises important questions regarding their impact on student learning. Based on established technology acceptance frameworks, this study develops and empirically tests an integrative model that explains students’ attitudes t...

Golan Carmi · 0 citations
#explainable ai Review Open access Oct 2026

Artificial Intelligence, Machine Learning, and Deep Learning Approaches for Attention-Deficit/Hyperactivity Disorder Diagnosis: Protocol for a Scoping Review

Abstract Background Attention-deficit/hyperactivity disorder (ADHD) affects over 366 million adults and 139 million children worldwide, yet diagnosis remains fundamentally subjective, relying on clinical interviews, behavioral observations, and rating scales that yield inconsistent results across practitioners and sett...

B. Ibe, Amir Aly, Shaymaa Al-juboori et al. · 0 citations

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MIT News · Artificial Intelligence Oct 28, 2026

3 Questions: Why infrastructure is entering a defining era

Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.

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