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explainable ai

2,395 papers

#explainable ai Open access Sep 2026

AI-supported visual-semantic word teaching from the perspective of educational psychology: instant gains in Turkish acquisition, computational choice, and learners’ psychological experience

Background Teaching Turkish to A1–A2 learners relies heavily on word selection and multimodal presentation. While traditional curricula prioritize frequency-based lists, they often underestimate the visual-semantic dimension critical for novice learners. Computational tools such as Word2Vec and CLIP offer a data-driven...

Erçin Ayhan · 0 citations
#explainable ai Review Open access Sep 2026

Beyond Transparency: Reframing Ethical Explainability in Human–AI Teams

The study proposes the Sociotechnical Explainability Alignment (SEA) framework, which conceptualizes ethical XAI as requiring alignment across four levels: design, user, team, and organization.

Hoda Parvaneh Shirazi, A. Al-Asfour, Sami El Ahmadie et al. · 0 citations
#explainable ai Open access Sep 2026

Probabilistic Programming for Explainable AI – Causal Bayesian Networks

The increasing deployment of complex AI models, particularly deep neural networks, raises significant concerns about their interpretability and trustworthiness. Existing XAI techniques often provide post-hoc explanations that lack a clear connection to the model's underlying reasoning. This paper proposes a novel appro...

Jincheng Zhang · 0 citations
#explainable ai Open access Sep 2026

##基于可解释人工智能的程序漏洞检测

This paper investigates the application of Explainable Artificial Intelligence (XAI) techniques to the detection of software vulnerabilities. Traditional vulnerability detection methods often rely on black-box machine learning models, lacking transparency and hindering understanding of the underlying reasons for vulner...

Jincheng Zhang · 0 citations
#explainable ai Open access Sep 2026

Agency theory in the context of using AI agents in financial intermediation

The study demonstrates that the use of AI agents requires a refinement of the agency theory as it applies to algorithmic agents, since the source of costs shifts from the personal interest to the training conditions, data composition, suitability of the previously trained system, and the ability to explain the program'...

T. Zver'kova · 0 citations
#explainable ai Open access Sep 2026

Probabilistic Programming for Explainable AI – Causal Bayesian Networks

The increasing deployment of complex AI models, particularly deep neural networks, raises significant concerns about their interpretability and trustworthiness. Existing XAI techniques often provide post-hoc explanations that lack a clear connection to the model's underlying reasoning. This paper proposes a novel appro...

Jincheng Zhang · 0 citations
#explainable ai Open access Sep 2026

📣 PROMO READY #255 [Hacker News (Show HN)] — E8 Intelligence live AI trading ecosystem — E8 Intelligence Research

📣 PROMO READY #255 [Hacker News (Show HN)] — E8 Intelligence live AI trading ecosystem Show HN: E8 Intelligence – a live AI ecosystem applying E8 geometry to markets We built a system that runs 24/7, mapping E8 sacred geometry onto market microstructure. It's not a backtest – it's live, with a real-time Merlin chat th...

Andrew Stewart Caldin · 0 citations
#explainable ai Book Sep 2026

AI in Industry 5.0

In this era of climate change and global environmental challenges, the role of sustainability in the latest industrial revolution, Industry 5.0, is becoming increasingly relevant. The changing trends of Industry 5.0 represent an era of human–machine collaboration and sustainable AI in manufacturing, built on the connec...

Sneha H. Dhoria, Tara Sasanka C, R. Rahul Sai et al. · 0 citations
#explainable ai Open access Sep 2026

A PSO-Optimized stacked ensemble learning approach for accurate melanoma detection with deep transfer learning and explainability

Accurate melanoma detection is essential for early-stage dermatological diagnosis, as it significantly improves treatment outcomes and patient survival rates. This study proposes a robust stacked ensemble framework that combines transfer learning (TL) with particle swarm optimization (PSO) to enhance melanoma classific...

Achin Jain, Nitin Jain, Aman Anand et al. · 0 citations
#explainable ai Open access Sep 2026

Pre-Registered Predictions for the External Field Effect's Environmental-History Dependence

Pre-registration No. 3 of a series (No. 1: doi:10.5281/zenodo.21893592; No. 2: doi:10.5281/zenodo.21890749). The registration text is frozen at deposit; any clarification will be issued as a separately deposited supplement, never as an edit. Rotation curves of field disk galaxies show the external field effect (EFE) of...

CL · 0 citations
#explainable ai Open access Sep 2026

AI-nterprise: Governing What the Organization Knows

Artificial-intelligence agents increasingly participate in the production, interpretation, circulation, and reuse of claims on which organizations act. This paper develops AI-nterprise, a nascent design theory and normative reference model for the human-agent enterprise: an organization in which people and artificial a...

Ottaviano De Cicco · 0 citations

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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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