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explainable ai

2,749 papers

#explainable ai Review Open access Oct 2026

Beyond the black box in healthcare operations: a structured literature review and governance framework for explainable AI in clinical process intelligence systems

The CPI-XAI Governance Framework is introduced, a theory-informed model for operationalizing algorithmic transparency as an organizational information-systems capability in clinical process intelligence environments and addresses explainability as an organizational capability rather than a model-level technical feature...

Albert Adusei Brobbey, Narayan P. Bhosale, James Ackom · 0 citations
#explainable ai Review Open access Oct 2026

A systematic review of skill-centric career guidance systems: Integrating knowledge graphs, skill decay tracking, and country-based salary sequence intelligence

The paper provides a comprehensive review of the research conducted across skill extraction, large language model (LLM)-based career guidance, knowledge graph construction, learning path recommendation, prerequisite modelling, and knowledge tracing, fairness and algorithmic bias in career AI, and country-based salary i...

S. H. Puwakgolla, W. Gunathilake, D. C. T. Disanayaka · 0 citations
#explainable ai Review Open access Oct 2026

Machine learning-based adaptive learning systems in higher education: A systematic review of techniques, outcomes, and ethical implications for knowledge translation

This systematic review synthesizes 19 peer-reviewed articles published from 2015-2025 to map and classify ML and AI techniques used in higher education adaptive learning systems, assess evidence of impact on student academic performance, engagement and retention, and explore ethical issues such as algorithmic bias, dat...

M. I. H. Madurapperuma, G. A. H. J. Perera · 0 citations
#explainable ai Open access Oct 2026

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...

Anne Stockem Novo · 0 citations
#explainable ai Open access Oct 2026

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...

Jean-François Brisson · 0 citations
#explainable ai Open access Oct 2026

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...

Mona Gamal Mohamed, Zahra Abdirahman Mahmoud, Marwa Samir Sorour · 0 citations
#explainable ai Open access Oct 2026

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...

Eric Needham · 0 citations
#explainable ai Open access Oct 2026

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...

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

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...

Fitih M. Cinnor · 0 citations
#explainable ai Open access Oct 2026

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...

Kwan Hong Tan · 0 citations
#explainable ai Open access Oct 2026

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...

Marc, Adiam, jonwilks et al. · 0 citations
#explainable ai Open access Oct 2026

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...

Abduraimov Firdavsiy Alisher o'g'li, Valiyeva Nodiraxon Maxamatjonovna · 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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