explainable ai

The Architecture of Perception: Why Saturated Expert Markets Reward Perceived Precision Over Substantive Expertise

In saturated expert markets, professional recognition does not track substantive competence. Senior experts with decades of operational experience routinely lose position to less qualified but more precisely perceived peers. Existing accounts (personal branding, thought leadership, self-marketing) describe this phenome...

PREreview of "Who judges the judges? Governance from metrics: a runtime framework for continuous LLM compliance monitoring"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23129468. Summary This paper attacks what it calls the compliance fiction: the industry practice of treating regulatory conformity as a binary verdict declared at deployment time, w...

Explainable artificial intelligence-based prediction of electrical characteristics in GAA MOSFETs

In this paper, explainable artificial intelligence (XAI) based prediction is used for gate all around (GAA) MOSFET to predict its electrical behaviour. The data set is produced using TCAD simulations by changing device parameters like channel length (L g ), Radius of silicon pillar (R), work function (Φ m ), doping con...

Artificial Intelligence and Machine Learning for Athletes Biological Passport Analytics and Anti-Doping Intelligence: A Systematic Review

Abstract Introduction: The Athlete Biological Passport (ABP) is an anti-doping tool that monitors athletes’ biomarkers over time in an effort to detect atypical variations associated with potential doping. However, the classical ABP analysis relies on adaptive Bayesian models that may have limitations in detecting subt...

Goal Model-Based Requirements Engineering for Robotic AI Systems

THE EL-RAKHAWI DOCTRINE OF QUANTUM ALGORITHMIC JURISPRUDENCE: GOVERNING SUPERPOSITION, ENTANGLEMENT, AND HYBRID AI ON SILICON-QUANTUM SUBSTRATES

The El-Rakhawi Doctrine of Quantum Algorithmic Jurisprudence presents the first comprehensive legal framework bridging classical legal determinism and quantum computing. It addresses the paradigm shift where quantum AI operates on superposition, entanglement, and probabilistic outcomes. The doctrine introduces five fou...

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...

The Certificate and the Shield: Where ISO/IEC 42001 Meets the EU AI Act, and Where It Stops

A supplier holds a certificate, is proud of it, and attaches it to a customer's compliance questionnaire. The answer comes back in one line: that is not what we asked for. This whitepaper explains why, and what to do instead. ISO/IEC 42001 governs an organisation: how it decides what to build, who is accountable, how r...

AI Copyright Claims 2026: Model-Only Fails Human-Authorship Test

A 2026 U.S. copyright audit explains why prompts, model output and selection alone fail to establish human authorship in AI-generated passages, passage by passage. Independent technical note mirroring the canonical version: https://iprs.cloud/blog/ai-copyright-claims-2026-model-only-fails-human-authorship-test.php

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.

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...

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,...