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explainable ai

2,752 papers

#explainable ai Open access Oct 2026

XAI Evaluation Framework

A modular, extensible framework for benchmarking explainable AI methods, including experiment orchestration, metric evaluation, statistical analysis, and reproducibility artifacts for tabular post-hoc explanation studies.

Jonathan Herrera-Vasquez · 0 citations
#explainable ai Open access Oct 2026

Signal Processing Explained: Systems, Analysis & Digital Communication Technologies

Signal Processing Explained: Systems, Analysis & Digital Communication Technologies is a publication-grade Open Educational Resource (OER) module covering the mathematical foundations, discrete-time systems, spectral transforms, and digital filter architectures governing signal analysis across electrical and electronic...

Prep4Uni.Online · 0 citations
#explainable ai Dataset Open access Oct 2026

Dataset of Literature on Explainable Artificial Intelligence (XAI) in Education (2019–2026)

## Description This dataset contains a curated bibliometric collection of **118 peer-reviewed publications** indexation records from **Scopus** focusing on **Explainable Artificial Intelligence (XAI) in Education** published between **2019 and 2026**. The collection covers empirical studies, systematic mapping reviews,...

Carlos Enrique George-Reyes · 0 citations
#explainable ai Review Open access Oct 2026

A human-centred artificial intelligence and learning analytics framework for equitable personalised higher education enrolment

Artificial intelligence (AI) and learning analytics are increasingly deployed within higher education to support admissions decision-making, student success initiatives, and personalised learning. However, most AI-enabled admissions systems remain narrowly focused on efficiency, prediction, and institutional optimisati...

A. Alenezi · 0 citations
#explainable ai Open access Oct 2026

Sapiens in Control: A Six-Dimension Framework for Evaluating Control Failures in Advanced AI Agents

Sapiens in Control, formerly Human in Control, is the same independent public-interest research initiative and working-paper series. This paper proposes the Human Control Model: Intervention Durability, Technical Containment, Informed Delegation, Oversight Integrity, Control Contagion, and Situational Grounding. Versio...

Sapiens in Control Project · 0 citations
#explainable ai Open access Oct 2026

FROM HUMAN TO ALGORITHMS: Social and Legal Impact of Artificial Intelligence on Employment in India

"A machine can now hire a worker, rate a worker and remove a worker, but it cannot be asked why."Artificial intelligence is affecting Indian workers in two ways, and the law has dealt with only one of them.The first is job loss. The Economic Survey 2024-25, in its chapter "Labour in the AI Era: Crisis or Catalyst?",fou...

Dr. K. Prasanna Rani, Durshetty Pratibha · 0 citations
#explainable ai Open access Oct 2026

The ShowPapers Protocol: From Scattered Documents to Usable, Portable Records

The ShowPapers Protocol keeps original documents, structured details, linked notes, organization and review decisions together in a portable collection. ZIP carries the files; the protocol defines their records, relationships, provenance and proposed changes. This technical report describes specification 1.0.0, includi...

Nirbhay Pherwani, Ameya Kulkarni · 0 citations
#explainable ai Open access Oct 2026

PhytoDiagnostix — herramienta IA para la academia (UMH)

Banco de más de 50 microfotografías de Wikimedia Commons, cada una con su autoría y licencia. El código comprueba la respuesta del estudiante contra la etiqueta de la foto; la IA, opcional, explica sin cambiar el veredicto. El profesorado añade sus propias fotos con un JSON en el repositorio. A bank of 50+ Wikimedia Co...

Fernando Borrás, María E. García-Pastor · 0 citations
#explainable ai Open access Oct 2026

ACAAI - Accountability by Design for Agentic AI: A Lifecycle Framework for Engineering Accountability in Autonomous AI Systems

Artificial intelligence is rapidly evolving from systems that generate recommendations and content towards autonomous agents capable of planning, reasoning, interacting with external systems, using tools and executing actions with limited human intervention. As AI systems become more agentic, accountability can no long...

Isabel Barberá · 0 citations
#explainable ai Open access Oct 2026

Robotics and Automation in Electrical Engineering Explained: Control Systems, Sensors, Actuators and AI

Robotics and Automation in Electrical Engineering Explained: Control Systems, Sensors, Actuators and AI is a publication-grade Open Educational Resource (OER) module covering the electromechanical, power electronic, embedded computing, and real-time communication architectures governing robotic manipulators and autonom...

Prep4Uni.Online · 0 citations
#explainable ai Dataset Open access Oct 2026

Dataset of Literature on Explainable Artificial Intelligence (XAI) in Education (2019–2026)

## Description This dataset contains a curated bibliometric collection of **118 peer-reviewed publications** indexation records from **Scopus** focusing on **Explainable Artificial Intelligence (XAI) in Education** published between **2019 and 2026**. The collection covers empirical studies, systematic mapping reviews,...

Carlos Enrique George-Reyes · 0 citations
#explainable ai Open access Oct 2026

The double-edged sword effect of AI autonomy on tourists' continuance usage intention: Based on conservation of resources theory

Artificial intelligence (AI) empowers tourists by improving their decision-making efficiency, while simultaneously undermining their sense of autonomy and control, thereby producing disempowering effects. The pathways and mechanisms underlying these effects require in-depth exploration. Based on conservation of resourc...

Guopeng Xiang, Chao Hu · 0 citations

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MIT News · Artificial Intelligence Oct 28, 2026

3 Questions: Why infrastructure is entering a defining era

Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.

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