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explainable ai

2,868 papers

#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
#explainable ai Review Open access Sep 2026

Time Series Forecasting in Construction Management: A Scientometric Analysis, Qualitative Review, and Future Research

The increasing availability of construction data and advances in artificial intelligence (AI) have accelerated the adoption of time series forecasting across construction management. However, a comprehensive understanding of the field’s knowledge structure, methodological evolution, and future directions remains limite...

Jun Wang, Rui Zhang, Qi Gu et al. · 1 citation
#explainable ai Open access Sep 2026

Explainable Deep Learning Model for Predicting Overall Survival in Patients Receiving Palliative Radiotherapy for Bone Metastases

An explainable deep learning model was developed and evaluated, which predicted survival during the first year after radiotherapy with discrimination and calibration comparable to those of a Cox proportional hazards model, indicating that this prognostic information can be provided as a simple bedside score rather than...

Yui Watanabe, T. Tomoda, A. Iwata et al. · 0 citations
#explainable ai Review Sep 2026

Governing artificial intelligence in strategic communication: institutional enablement and communication effectiveness in digitally mediated environments

A socio-technical, governance-centered model examining how AI professional competency, organizational AI support, perceived value of AI and perceived AI-related risk relate to communication effectiveness among public relations professionals in the United Arab Emirates concludes that institutional enablement is the prin...

Khayrat Ayyad, A. F. Radwan · 0 citations

From tech blogs

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Microsoft Research Blog Nov 3, 2026

Learn the rules: The hacker mindset

Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules. The post Learn the rules: The hacker mindset appeared first on Microsoft Research.

GPT-Lab Nov 3, 2026

Sovereignty Is the Option to Leave

Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.

MIT News · Artificial Intelligence Oct 30, 2026

Q&A: Hey AI, who should I vote for this year?

MIT professors Adam Berinsky and Chara Podimata discuss a new project to track how AI chatbots are responding to questions about the 2026 U.S. midterm elections.

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