explainable ai

Concept bottleneck models and integrated gradients for efficient and interpretable pedestrian crossing intention estimation

Traditional system testing relies on predefined scenarios and handcrafted rules, whereby the system output is tested against requirements. However, this approach is not scalable and therefore not feasible when testing complex AI systems. Human understandable explanations of the model decisions are required and must be...

Multi-Quantum OES: offline OES replay triage workbench with an isolated AI ∩ quantum toy lab

Multi-Quantum OES is an offline, standard-library-only Python (3.11–3.13) workbench for explainable OES-512 telemetry replay triage, with a preregistered synthetic stress evaluation and a separate, isolated “AI ∩ quantum” toy lab. Everything runs locally on synthetic data; the quantum parts are exact classical simulati...

Development and structural validation of the Artificial Intelligence Competency Scale for Nurse Educators (AI-CSNE): a three-domain measure of perceived AI competency

The rapid integration of artificial intelligence (AI) into healthcare and nursing education has created new competency requirements for nurse educators. Despite this growing demand, there is a notable lack of rigorously developed and psychometrically validated instruments specifically designed to assess AI-related comp...

The Intentional Field Ontology: Reality as directed potential, field-memory, and recursive intelligibility

This paper presents the Intentional Field Ontology, a philosophical and speculative scientific framework in which reality is understood not as a collection of primary objects but as one reality whose oneness is never still. Its ground is a single primitive with two inseparable aspects. Unity names the holding: the comp...

Biomedical Electronics Explained: Medical Devices, Sensors & Healthcare Systems

Biomedical Electronics Explained: Medical Devices, Sensors & Healthcare Systems is a publication-grade Open Educational Resource (OER) module exploring the design, isolation, and clinical integration of biosensors, implantable devices, and diagnostic instrumentation. Serving as a specialized core module within the Elec...

The Agentic Brain: Dual-Process Metacognition, Evidence-Gated Authority, and Runtime Governance

As AI agents move from producing answers to taking consequential actions, they must decide both how much reasoning to perform and what evidence justifies acting. We develop the agentic control plane, joining a System-1-like fast proposer, a System-2-like portfolio of deliberation and verification, a metacognitive route...

AI-Augmented Leadership: How Leaders Make Strategic Decisions Alongside AI

This thesis explores the paradigm of AI-augmented leadership, a new model of strategic decision-making that is emerging in the age of artificial intelligence. It argues that the role of the human leader is not being diminished by AI but is, in fact, becoming more critical and more complex. As AI takes on the tasks of o...

amatya-aditya/obsidian-rss-dashboard: 2.7.0

RSS Dashboard 2.7.0 RSS Dashboard 2.7.0 brings your starred articles over from other feed readers, makes your data safer and easier to find, and gives you more control over which kinds of articles are protected from automatic cleanup. It also adds an image lightbox, a redesigned podcast episode list, new grouping optio...

AN ADAPTIVE HYBRID DEEP LEARNING FRAMEWORK FOR REAL-TIME CYBER THREAT AND ANOMALY DETECTION IN HIGH-THROUGHPUT NETWORK TRAFFIC

Modern enterprise digital infrastructures face unprecedented cyber threats characterized by high volume, zero-day vulnerabilities, and multi-stage attack vectors. Traditional rule-based Intrusion Detection Systems (IDS) and shallow machine learning models struggle to maintain high detection accuracy while minimizing fa...

PREreview of "Psychosexual Rehabilitation After Cancer: A Narrative Review of the Intervention Evidence and a Stepped-Care Model for Survivorship Practice"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23121365. Summary of main findings and contribution This narrative review focuses on an important question: how psychosexual rehabilitation after cancer can be delivered at scale, r...

Ghosts in the Machine: Unveiling Hidden Anomalies in AI-Powered Talent Acquisition

Understanding Consumer Behavior Through AI-Driven Predictive Analytics

Abstract: The rapid proliferation of artificial intelligence (AI) and big data analytics has fundamentally transformed how organizations understand, predict, and influence consumer behavior. Despite the growing adoption of AI-driven predictive analytics in marketing, there remains limited theoretical integration explai...