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explainable ai

2,752 papers

#artificial intelligence Open access Oct 2026

Thriving with AI: How Employee AI Readiness Translates into Sustainable Work Behavior Through Service Innovation in Hospitality and Tourism Industry

Artificial intelligence is fundamentally reshaping work in hospitality and tourism, yet limited research has examined how employees’ AI readiness is associated with psychological and behavioral outcomes with sustainability implications. Drawing on Conservation of Resources Theory, this study investigates the relationsh...

Abdelrahman Ahmed Abdelhai Abdelghani, Hazem Ahmed Khairy, Hebatallah Ahmed Mokhtar Ahmed et al. · 0 citations
#explainable ai Oct 2026

Cybernetic resilience in human–AI crisis response networks: a theory of adaptive emergence with empirical validation framework

This research addresses the following specific theoretical deficiency: while existing resilience frameworks do indeed consider the process of recovery or adaptation of crisis systems at the level of individuals, they fail to explain the ways in which human–artificial intelligence (AI) hybrid networks create emergen...

S. Sheela, Aranganathan Posarajan · 0 citations
#explainable ai Oct 2026

Project decision-making through artificial intelligence: a mixed-methods study of public projects in the transition economies

Artificial intelligence (AI) is increasingly embedded in organizational processes, challenging established assumptions about decision-making in project environments. Prior research has predominantly conceptualized AI either as a decision-support tool or as a substitute for human judgment, thereby overlooking the so...

Ilir Rexhepi, X. Islami · 0 citations
#explainable ai Oct 2026

Sound Of Porosity: Unlocking Local Acoustic Signatures Of Porosity In LPBF Via Low-Cost Sensing And Explainable AI

A low-cost, off-the-shelf ultrasonic microphone installed inside the build chamber is demonstrated as a practical alternative for capturing high-resolution acoustic signals during LPBF, and acoustic-based models achieve low-latency inference, suitable for in-process monitoring, paving the way for adaptive corrective co...

Ayyoub Ahar, S. Hedayatrasa, Cyril Blanc et al. · 0 citations
#explainable ai Open access Oct 2026

Artificial Intelligence in Medicine: diagnostic, therapeutic and ethical impact

AI offers considerable potential to reduce costs, increase diagnostic accuracy, personalize care and expand access to quality services, provided its deployment overcomes technical, ethical and regulatory barriers through proactive, adaptive and patient-centered governance.

Laura Beatriz Fernández Feitó, Mariam Alejandra González González, Andy Alonso Pazos et al. · 0 citations
#data science Review Open access Oct 2026

Agentic AI Systems: A Review of Multi-Agent Reasoning, Trust, Orchestration, and Autonomous Data Science

This review synthesizes four recent studies spanning these strands, together with the broader literature on multi-agent orchestration, retrieval-augmented generation (RAG), large-language-model (LLM)-based knowledge-graph construction, and explainable AI, to build a unified picture of agentic AI as applied to intellige...

Subina S. B., A. B., Sania Jackson et al. · 0 citations
#explainable ai Open access Oct 2026

Explainable artificial intelligence driven dynamic evaluation framework for Industry 4.0 oriented talent cultivation in higher education

The proposed XAI-Driven Dynamic Evaluation Framework offers an effective decision-support tool for curriculum optimization, educational quality enhancement, and sustainable Industry 4.0 workforce development, thereby strengthening the alignment between higher education outcomes and evolving industrial requirements.

Hai-Mei Liu, Xiang-Qiang Liu · 0 citations
#artificial intelligence Review Open access Oct 2026

AI in supply chain risk assessment: a systematic literature review and bibliometric analysis

Abstract Supply chain risk assessment (SCRA) is pivotal for ensuring resilience in increasingly complex global supply networks. While existing reviews have explored traditional methodologies, they often neglect emerging artificial intelligence (AI) and machine learning (ML) applications and mostly lack combined systema...

Md Abrar Jahin, Saleh Akram Naife, Anik Saha et al. · 8 citations
#explainable ai Book Open access Oct 2026

NORMA: Automated AI Act Compliance Assessment for AI Training Datasets

NORMA is presented, an interactive web application that translates Article 10's qualitative requirements into measurable thresholds grounded in the fairness and data-quality literature, integrates a large language model for context-sensitive interpretation, and produces an explainable, per-dimension compliance report t...

Elisabetta Arba, A. Berardi, B. Estrada-Torres et al. · 0 citations
#explainable ai Open access Oct 2026

Explainable AI-driven marker selection and development of EastFocus AISNPplex 61 assay for fine-scale biogeographical ancestry inference.

This workflow provides a practical, interpretable, and capillary electrophoresis-compatible solution for forensic biogeographical ancestry inference and micro-genetic structure mapping.

Mei-Ming Cai, Lisiteng Luo, Yue Liu et al. · 0 citations
#explainable ai Oct 2026

A multimodal artificial intelligence framework for digital forensics.

Abstract Digital forensics plays a key role in investigating different types of crimes. It involves analyzing evidence from electronic devices, social media, and system logs. However, investigators face major challenges due to the large size of digital data. Information from networks, smartphones, and online platforms...

Manish Kumar · 0 citations
#explainable ai Review Open access Oct 2026

Implementing AI-assisted, patient-friendly imaging report summaries to enhance oncology care delivery: protocol for a randomized mixed-methods quality improvement study

A mixed-methods study of the implementation of a patient-friendly results tool in oncology provider workflows to facilitate improved communication of radiology results to oncology patients to close an important oncology care gap.

M. R. Baumann, H. J. Barton, P. Voorheis 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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