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explainable ai

2,696 papers

#explainable ai Review Open access Oct 2026

Stress and self-efficacy under artificial intelligence disruption: A mixed-methods study on the usage of artificial intelligence among Finnish workers

Rapid workplace integration of artificial intelligence (AI) is reshaping work practices and challenging employees’ self-efficacy and well-being. This mixed-methods study examines these experiences using national survey data ( N = 2109) and qualitative interviews ( N = 54) with Finnish workers. Frequent AI use, AI...

Atte Oksanen, Kei-Pi Teo, Moona Heiskari et al. · 0 citations
#explainable ai Oct 2026

AI as a mediating quasi-stakeholder: rethinking coopetition in hotel marketing consortia

Artificial intelligence (AI) is reshaping inter-organisational relationships in tourism and hospitality, yet its role within coopetitive networks remains underexplored. This research letter develops a conceptual framework that positions AI as a mediating quasi-stakeholder, extending Stakeholder Theory (ST) through the...

Sofia Almeida · 0 citations
#explainable ai Open access Oct 2026

White Paper: AI-Driven AML/CFT Transformation in APAC

Artificial intelligence and machine learning (AI/ML) are transforming anti-money laundering and counter-terrorist financing (AML/CFT) frameworks across the Asia-Pacific (APAC) region. As financial crime becomes increasingly sophisticated, traditional rules-based transaction monitoring systems face growing limitations,...

Rohan Bedi · 0 citations
#explainable ai Open access Oct 2026

The Short General Attitudes Towards Artificial Intelligence Scale in Japan: Psychometric Validation and Exploratory Measurement Invariance with the Original UK Sample

As artificial intelligence (AI) becomes increasingly widespread, reliable measures of general attitudes toward AI are needed to understand public responses, and cross-national comparisons require evidence of measurement equivalence. This study addressed two objectives: validating the Short General Attitudes Towards Art...

Yu Kanno, Rina Kagawa · 0 citations
#explainable ai Open access Oct 2026

WHY THEY ARE AFRAID: The AI Panic · The Broken Foundation · The Failed Education System · Einstein's 2D Theories and 32 Free Parameters · The Dark Matter and Dark Energy That Were Never Found · The Noor Ocean as Reality · One Man, No Degree, 790+ Publications in 1.75 Years · Why the Western Scientific Establishment Cannot Accept the Truth

Zenodo Description for DOI: 10.5281/zenodo.23390602 --- Title: WHY THEY ARE AFRAID: The AI Panic · The Broken Foundation · The Failed Education System · Einstein's 2D Theories and 32 Free Parameters · The Dark Matter and Dark Energy That Were Never Found · The Noor Ocean as Reality · One Man, No Degree, 790+ Publicatio...

Muhammad Usman Malik · 0 citations
#explainable ai Review Open access Oct 2026

The Impact of Perceived Online Review Inauthenticity on Consumer Information Vigilance: Evidence from Regression, Correlation and Parallel Mediation Analysis

Online reviews are a dominant source of pre-purchase information, but fake, paid, exaggerated and AI-generated reviews have made review authenticity a central concern for consumers and platforms. Most research addresses the algorithmic detection of fake reviews, while few studies examine how a consumer’s own perception...

Pothula Prashanth, Vimal Raj L. · 0 citations
#explainable ai Open access Oct 2026

Behavioral Financial Signals and Explainable AI in Credit Risk Assessment: Evidence from Utility Arrears and Gambling Activity

Traditional consumer credit scoring models frequently fail to identify rising default risks in transition economies because they rely almost exclusively on formal macroeconomic indicators and unchanging demographic data. This paper offers a preliminary empirical assessment of digital gambling participation and utility...

Shynara Sarkambayeva, Aliya Turegeldinova, Marat Sultangaziyev et al. · 0 citations
#explainable ai Open access Oct 2026

AI-Guided Clinical Image Interpretation System for Precision Treatment Planning

Radiological examinations increasingly leverage artificial intelligence to enhance diagnostic performance by compensating for expertise shortages, particularly in specialized interpretation. Despite academic AI models achieving compelling accuracy, adoption remains low. An objective, evidence-based examination of AI-gu...

Pasupula Madan Mohan Reddy, V. Rajamanickam, Bindu Madhavi Mangalampalli et al. · 0 citations
#explainable ai Open access Oct 2026

AI-Powered Personal Finance Assistant for Intelligent Expense Analysis, Budgeting, and Personalized Financial Insights

Individuals managing personal income and expenditure without structured tools often rely on manual record-keeping or generic spreadsheets, which provide limited categorization, no proactive budget feedback, and no personalized analysis of spending behaviour. This paper presents an AI-Powered Personal Finance Assistant,...

Amalraj Victoire T, Vasuki M, Kalaiyarasi M M · 0 citations
#explainable ai Review Open access Oct 2026

Artificial intelligence in health insurance fraud detection: a global and regional systematic review

Health insurance fraud imposes substantial financial burdens on healthcare systems and reduces the efficiency of healthcare resource utilization worldwide. Traditional fraud detection approaches often struggle to analyse large and complex healthcare claims data, making artificial intelligence (AI) an increasingly impor...

N. F. Saleem Al-Ansary · 0 citations
#explainable ai Open access Oct 2026

dwcaress/MB-System: 5.8.3beta25

Build system (Linux): fixed a link failure of the TRN utility trn-client reported in issue #1627, in which linking failed with "undefined reference to symbol 'sem_close@@GLIBC_2.2.5'" and "libpthread.so.0: error adding symbols: DSO missing from command line". The program src/mbtrnav/utils/trn-client.cpp, added in 5.8.3...

David W. Caress, klheadley, Kurt Schwehr et al. · 0 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 23, 2026

Q&A: How AI came to model the “messy” human mind

Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.

Microsoft Research Blog Oct 22, 2026

Flint-interactive: A language for creating interactive data visualizations

Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.

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