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explainable ai

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#explainable ai Review Open access Oct 2026

Crisis-induced hybrid learning, cognitive offloading, and generative AI reliance among Pakistani CS undergraduates

In spring 2026, geopolitical tensions prompted the Pakistani government to mandate full online instruction (10 March–3 April 2026), followed by a hybrid schedule for the rest of the semester. This shift is treated here as an externally imposed crisis context for AI adoption, not as a natural experiment. No pre-cris...

Hassan Ahmed, Abdullah Khan, Arooj Fatima et al. · 0 citations
#generative ai Oct 2026

Extending the affective process and strategic engagement framework to address writer’s block in Ethiopian English as a foreign language contexts through critical artificial intelligence literacy and ethical generative artificial intelligence in low-resource settings

Abstract Writer’s block remains a serious obstacle for undergraduate English as foreign language writers, particularly in low-resource Global South settings, where writing anxiety, linguistic insecurity, and unreliable internet access intensify the challenge. Researchers have shown growing interest in generative artifi...

Eshetie Kasie · 0 citations
#federated learning Review Open access Oct 2026

Artificial intelligence in male infertility from diagnosis to treatment

Artificial intelligence has the potential to transform clinical decision-making for patients presenting with infertility by enabling objective, high-throughput, and personalised assessment of semen samples, but these tools should be used to augment rather than replace clinical expertise until models have been prospecti...

Anuradha Dhull, Monika Lamba, Aryan Dahiya et al. · 0 citations
#artificial intelligence Open access Oct 2026

The Internet Solved Communication. It Never Solved Authority

[ Recommended — Download the Complete Package (ZIP FILE) from the Download Section for Research Purposes / Latest Industry Trends on AI Governance and AI Safety ] Short Summary of this Article Current Internet protocols move, encrypt, authenticate, delegate, and record data—but they do not generally answer one deeper q...

Sangam Das · 0 citations
#artificial intelligence Review Oct 2026

AI readiness and digital pedagogical competence as enablers of innovations in environmental management within higher education institutions: evidence from Vietnam

This study aims to examine how artificial intelligence (AI) readiness and digital pedagogical competence (DPC) are associated with lecturers’ perceptions of digital environmental governance innovation (DEGI) and perceived environmental performance in higher education institutions (HEIs). Moving beyond isolated gree...

Khuong Dinh Phi, Thuy Lam Duong · 0 citations
#artificial intelligence Open access Oct 2026

Who Is Responsible When AI Shapes Corporate Decisions? Director Duties and Corporate Accountability under Indian Company Law

A company is deciding whether to acquire another business. An artificial intelligence system examines financial records, market data and compliance risks, and recommends that the deal should proceed. The directors approve it. Months later, the acquisition causes serious loss. The board signed the resolution, but the mo...

Ashutosh Mani Pathak · 0 citations
#artificial intelligence Open access Oct 2026

How AI Adoption Transforms Technology Acceptance into Online Purchase Behavior: An Integrated UTAUT–Technology Acceptance Model

Artificial intelligence (AI) is increasingly integrated into digital commerce through intelligent services that support consumer purchasing. However, limited empirical evidence explains how technology acceptance translates into AI adoption and subsequent online purchase behavior, particularly in digital MSMEs. This stu...

Dewi Novianti, Susanta Susanta, Didik Indarwanta · 0 citations
#artificial intelligence Review Oct 2026

Explainable Failure Prediction and Prevention in Maritime

Maritime systems operate in highly dynamic environments where unexpected equipment failures can compromise safety, reliability, and operational efficiency. Recent advances in artificial intelligence (AI), machine learning, digital twins, and predictive maintenance enable proactive failure prediction and prevention. How...

Dionisis Kalogeropoulos, Georgia Sovatzidi, P. Kalozoumis et al. · 0 citations
#explainable ai Book Open access Oct 2026

Poster: VeriRAN: Explainable and Runtime-Verified Multi-Agent Control for Trustworthy AI-RAN

VeriRAN is a lightweight runtime-verified AI-RAN control architecture that separates intelligence from authorization, and uses AI agents as intelligent action proposers that generate radio-aware and service-level-agreement (SLA)-aware decisions.

Osman Tugay Başaran, Falko Dressler · 0 citations
#explainable ai Book Open access Oct 2026

Agentic AI at the Edge: Self-Explaining Autonomous Framework for IoT Incident Response

A fully local, autonomous incident-response framework for edge gateways that combines a compact classifier that routes traffic by confidence, a tool-using language-model agent restricted to vetted mitigation actions, and an Explanation Engine grounded in the agent's recorded observations is presented.

Shaghayegh Shajarian, Sajad Khorsandroo, Mahmoud Abdelsalam · 0 citations
#explainable ai Book Open access Oct 2026

Real-Time RAN Observability at the Far Edge: AI on the Fronthaul

This work recovers DU-side scheduling behavior and radio-side execution, including the per-beam and per-layer beamforming weights carried on the C-plane, separating measured quantities from those conditioned on an array hypothesis, and ground an eleven-agent platform in which a language model only interprets measuremen...

Sridhar Rajagopal, Eran Pisek, Gabriele Gemmi et al. · 0 citations
#artificial intelligence Review Oct 2026

EIO-Agents: The Missing Semantic Layer for AI Agent Evaluation

This work introduces EIO-Agents, an open specification for interoperable AI agent evaluation built on two layers: EIO provides that missing semantic contract, while PER preserves the resulting evaluation as a portable and verifiable system of record.

Fouad Bousetouane · 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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