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explainable ai

2,440 papers

#explainable ai Book Sep 2026

Human-Centered Educational Leadership for Sustainable Development in the Age of Artificial Intelligence

This chapter develops a human-centered, leadership-driven framework explaining how education contributes to sustainability in AI-augmented societies. It addresses three research questions on leadership as a driver of sustainability, its mechanisms of influence, and its role in employability, inclusion, and resilience....

Raed Atef · 0 citations
#explainable ai Open access Sep 2026

Decision delegation to GenAI agents in travel planning: Responsible AI signals, delegation levels, and the transparency paradox

Generative Artificial Intelligence (GenAI) is becoming an integral part of travel planning. This fundamental transformation is changing the definition of travel decision delegation, calling for fresh research into responsible AI in tourism. Drawing on agency theory, trust theory and decision delegation framework, this...

Sanjit K. Roy, Gaganpreet Singh, S. Mostafa Rasoolimanesh et al. · 0 citations
#explainable ai Open access Sep 2026

White-Box Completeness for Artificial Intelligence

Abstract Current research on explainable and white-box artificial intelligence faces prominent issues: conceptual disarray, divergent perspectives, and a disconnect between theory and practice. The foremost priority is therefore to return to the field’s purest objectives and explore its most fundamental questions. To t...

Wen‐Xuan Wang, Yu-Die Zhang, Xin-Ting Li et al. · 0 citations
#artificial intelligence Open access Sep 2026

AI Revolution: The Death of Business Administration and the Birth of Inalienable Leadership

Artificial intelligence is increasingly performing administrative, analytical, coordinating, monitoring, communication, and decision-support functions historically associated with managers and business administration. This transformation does not imply the disappearance of organizations, management, managers, or busine...

Guillaume Mariani · 0 citations
#explainable ai Open access Sep 2026

Artificial Intelligence in Sustainability Assurance: Accounting Challenges, Audit Risks and a Conceptual Framework for ESG Verification

An assurance-specific framework answering three questions: for which sustainability-assurance procedures AI creates analytical value, which risks arise when AI influences assurance work, and which decision rights and controls should govern that influence is developed.

Radosveta Krasteva-Hristova, Vanya Georgieva · 0 citations
#artificial intelligence Open access Sep 2026

The Most Important Human Skills for the Age of AI and the Future of Work: FILE — The Five Intelligences of Leadership Evolution

Artificial intelligence changes what organizations can do; human leadership must decide what should be done, what remains accountable, and what must never be surrendered to machines. This working paper presents FILE: The Five Intelligences of Leadership Evolution as a human-centered management theory and diagnostic fra...

Guillaume Mariani · 0 citations
#artificial intelligence Open access Sep 2026

Balancing the Triad: Socio-Technical Misalignments Between User-Centered Design, Agile, and AI in Healthcare Software

The rapid integration of Artificial Intelligence (AI) into healthcare software introduces profound complexities when combined with Agile Software Development (ASD) and User-Centered Design (UCD). Instead of a cohesive triad, this landscape exhibits partial intersections and fragmented literature. This Systematic Litera...

Emanuel Vicente, Gustavo H. S. Alexandre, Wilamis Kleiton Nunes da Silva et al. · 0 citations
#large language models Open access Sep 2026

Non-extensive statistics of the glioblastoma transcriptome: analysis code, derived results and validation-cohort inputs

Analysis code, derived result tables, figures and validation-cohort inputs for a study of non-extensive (Tsallis) statistics in the glioblastoma transcriptome. Expression deviations of each sample are fitted with q-Gaussian laws by maximum likelihood. In a longitudinal GLASS cohort (230 libraries from 115 IDH-wildtype...

Sérgio Assunção Monteiro, Fabrício Alves Barbosa da Silva · 0 citations
#explainable ai Review Open access Sep 2026

Designing a user-centered mHealth screening system for children in low-resource settings: A multi-stakeholder implementation study.

Scalable mHealth hearing-screening systems should prioritize simple, multimodal workflows, offline functionality, role-specific preparation, transparent decision support, and structured referral pathways.

Saransh Jain, Sourabh Ramakrishna, Thejaswini Madan et al. · 0 citations
#explainable ai Open access Sep 2026

The NMC Theory for Global Bipolarity: A Structural Law of The Atomic Era

By using an axiomatic method, this manuscript identifies the first structural law ever formulated in International Relations. It introduces a new ontology of global order and shows that the post-1945 system obeys a geometric constraint that permits only two true Poles. Appendices 1-3 focus on method which is new and he...

Nguyen, Cong · 0 citations
#explainable ai Review Open access Sep 2026

Searching for the truth? search engines and their AI affordances’ responses to conspiratorial search practices

Developed search query sets informed by conspiratorial and non-conspiratorial information-seeking practices of online forums are developed, using the chemtrails and 15-minute cities conspiracy theories as case studies.

K. Kasianenko, C. Gardam, Katherine M. FitzGerald et al. · 0 citations

From tech blogs

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GPT-Lab Oct 14, 2026

Building trustworthy AI: The role of AI harnesses, intent contracts and evals

AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.

Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.

GPT-Lab Oct 12, 2026

AI Has Grown Up. Have We?

AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.

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