explainable ai

Artificial Intelligence Anxiety and Employee Performance: A Systematic Literature Review of Job Insecurity, Threat–Challenge Appraisal, Coping, Career Resilience, and Organisational Buffers

This systematic literature review examines the relationship between artificial intelligence (AI) anxiety and employee performance, with particular attention to job insecurity, threat–challenge appraisal, coping, career resilience, job crafting, leadership, training, organisational support, and human–AI collaboration. T...

D.R.O.N.E.: A Neural Network Architecture with JIT Compilation and Executable Memory

D.R.O.N.E. (Dynamic Responsive Optimized Neural Engine) is a small artificial intelligence written from scratchin C. It uses no outside libraries and no pre-trained model, and it runs offline on an ordinary CPU. Each AI builton the engine is called a drone.The design splits the work of answering into two parts. An exac...

Explaining the Outcomes of Goal Recognition Systems

Goal Recognition infers an actor’s goal from observed actions and is critical for human-AI cooperation in areas like robotics, healthcare, and autonomous driving. Traditional Goal Recognisers (GRs) predict likely goals but rarely explain their reasoning, limiting their application. This research develops a framework fo...

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