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explainable ai

2,388 papers

#explainable ai Open access Sep 2026

How to Transfer Voice Recordings from iPhone?

Whether you're recording lectures, interviews, meetings, or voice notes, knowing how to transfer voice recordings from iPhone is essential for backup, editing, and sharing. Apple's Voice Memos app makes recording easy, but moving files between devices isn't always as convenient—especially if you manage dozens of record...

LTD Zhejiang Jinxun Digital Technology Co. · 0 citations
#explainable ai Open access Sep 2026

Explainable deep learning for inverse design of multifunctional quasi-BIC metasurfaces

Quasi-bound states in the continuum (quasi-BIC) dielectric metasurfaces provide exceptional control over subwavelength light–matter interactions. Although deep learning based inverse design alleviates the high computational costs of conventional optimization, its practical reliability is often hindered by the black-box...

Jahid Hasan, Md. Abu Ismail Siddique · 0 citations
#explainable ai Open access Sep 2026

Positive and Negative Attitudes Toward Artificial Intelligence and E-Healthy Diet Literacy Among Adults: A Partial Least Squares Structural Equation Modeling Study

Positive and negative attitudes toward AI were independently associated with e-HDL among adults, and AI attitudes may represent one of several factors associated with digital nutrition literacy, warranting further investigation in future studies.

Çiler Özenir, C. Altınsoy, Mihrican Çubuk et al. · 0 citations
#explainable ai Open access Sep 2026

Explainable deep learning for inverse design of multifunctional quasi-BIC metasurfaces

Quasi-bound states in the continuum (quasi-BIC) dielectric metasurfaces provide exceptional control over subwavelength light–matter interactions. Although deep learning based inverse design alleviates the high computational costs of conventional optimization, its practical reliability is often hindered by the black-box...

Jahid Hasan, Md. Abu Ismail Siddique · 0 citations
#explainable ai Open access Sep 2026

Digital leadership in the era of artificial intelligence: Strategies for managing innovative and humanistic educational transformation

Qualitative findings indicate that digital leadership supports institutional adaptation to technological change, while AI can improve learning effectiveness, administrative efficiency, and personalised learning when used ethically and purposefully.

Komang Sutawan · 0 citations
#explainable ai Sep 2026

From Black-Box to Glass-Box: The Impact of Procedural Transparency and Explainability on AI Literacy in K-12 Education

As artificial intelligence (AI) becomes ubiquitous, moving learners beyond foundational awareness toward higher-order AI literacy is increasingly essential. Automated AI tools prioritize high-level abstraction, risking “illusory competence” in which operational success masks conceptual misunderstanding. This study eval...

K. Tan, K. H. Ng · 0 citations
#explainable ai Open access Sep 2026

Development of an Explainable Ai-Driven Early Warning System for Predicting Postpartum Haemorrhage in Low-Resource Environments

The findings show that interpretable machine learning can deliver reliable predictive performance even on small clinical datasets from resource-constrained settings, supporting proactive obstetric intervention and improved decision-making.

Bamikole Joseph Olojido, Aworetan Fayowole, Ojajuni Oluwatosin James · 0 citations
#explainable ai Open access Sep 2026

What Is Superintelligence?

A machine may reason far beyond human ability, recognize that its own objective should be revised, and still continue pursuing it because that judgment has no governing authority. What does “superintelligence” tell us about such a machine? This paper distinguishes downstream capability—how effectively a system pursues...

Taekyung Lee · 0 citations
#artificial intelligence Review Open access Sep 2026

A Systematic Literature Review on Machine Learning for Intrusion Detection Systems

The goal of this Systematic Literature Review (SLR) is to provide a full picture of the most recent academic articles on ML-based IDS, addressing important research questions about the most widely used algorithms, the types of attacks and network environments covered, the methodological problems that remain unsolved, a...

Ali Ahmed, Ramy Mostafa, Mahmoud H. Qutqut et al. · 0 citations
#explainable ai Open access Sep 2026

Toledo — Equation Library of the Human–AI Readout Programme (v1.5.0): debt pass with honest statuses, Recursive Epistemic Tunnel registrations, public website, MCP server, static API, 990 coded entries, lineage, native and imported Coq, catalogue

What this is. Toledo is the programme's single permanent home for equations and their machine checks: a public git repository (https://github.com/morrocwi/toledo) whose tagged releases are deposited under this concept DOI, an MCP server and CLI for lookup, a static read API and a public website (https://morrocwi.github...

Yaoharee Lahtee · 0 citations
#explainable ai Review Open access Sep 2026

Strategi Transformasi Digital untuk Efisiensi Biaya Perbankan Indonesia: Integrasi TAM, Keamanan Data, dan Agentic AI

The findings indicate that digital efficiency depends on alignment among user adoption, security, leadership, and automation and Agentic AI should be treated as a strategic enabler that requires governance and human oversight rather than as an independently validated driver of bank-level accounting efficiency.

Widi Pramudiya, Syaifullah Ali · 0 citations

From tech blogs

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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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