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explainable ai

2,749 papers

#explainable ai Open access Oct 2026

The Intentional Field Ontology: Unity in motion, 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 Book Oct 2026

Digital Twins in AEC: Gemini Principles, ISO 19650 Information Management, Lifecycle Decisions, Cybersecurity, Interoperability, and Circular Economy

This chapter examines the rapidly evolving role of Digital Twins in the Architecture, Engineering, and Construction industry, emphasizing their integration with Human-Centric Artificial Intelligence, ISO 19650 information management, and Industry 5.0 principles. Digital Twins, continuously updated through Building Info...

Ibrahim Yitmen, Amjad Almusaed, Asaad Almssad · 0 citations
#explainable ai Open access Oct 2026

Testimony Without a Testifier: Epistemic Value and Commitment Ownership in Institutional AI

Machine-mediated output can inform, justify belief, guide inquiry, and sometimes acquire the practical force of institutional testimony. Yet the epistemic question whether a hearer may learn from such output is distinct from the speaker-side question of who owns the communicative commitment that the output presents. Th...

Nicholas Cott · 0 citations
#explainable ai Open access Oct 2026

Explainable Artificial Intelligence for Computer Vision: A Comprehensive Study on Interpretability Techniques, and Applications

Abstract Convolutional neural networks (CNNs) have achieved state-of-the-art performance across computer vision tasks, including image classification, object detection, and medical image analysis. However, the opaque, black-box nature of these models limits their adoption in high-stakes domains such as healthcare, auto...

Ishan Gupta, Gaurav Jangid, Vishal Shrivastava et al. · 0 citations
#explainable ai Open access Oct 2026

Smart Pills, Smarter Printing: AI In 3D Printing Of Oral Dosage Forms

The convergence of Artificial Intelligence (AI) and pharmaceutical three-dimensional (3D) printing is proving to be a promising strategy for creating more precise and adaptable oral drug delivery systems. The review investigates the potential of AI-driven 3D printing to address some of the drawbacks of traditional manu...

Satyajit Sahoo1, Anjali Patel*1, Dhananjay Meshram1 · 0 citations
#explainable ai Open access Oct 2026

DisolvIA — herramienta IA para la academia (UMH)

Juego de ejercicios de Fisicoquímica (Grado en Farmacia): preparación de disoluciones, propiedades coligativas, fases, cinética y transporte. Cada estudiante recibe números distintos; un motor determinista calcula la solución y diagnostica el fallo por recálculo, y lleva a un ejercicio de refuerzo. La IA es opcional y...

Fernando Borrás, Montserrat Varea Morcillo · 0 citations
#explainable ai Open access Oct 2026

Explainable Deep Learning Reveals Future Changes in East Asian Extreme Winter Predictability

Deep learning-based approaches have emerged as powerful tools for seasonal prediction, yet their skill remains limited for extreme anomalies, and warming climates may alter predictability sources. Here we present a convolutional neural network (CNN)-based framework to assess how seasonal predictability changes in a fut...

Seo‐Young Jo, Jeong-Hwan Kim, Daehyun Kang et al. · 0 citations
#explainable ai Book Oct 2026

Blockchain and AI for Secure Smart Contracts in Construction 6.0

This chapter explores the convergence of Blockchain and Artificial Intelligence as foundational technologies for secure, transparent, and intelligent smart-contract ecosystems in Construction 6.0. It highlights how blockchain&s;s immutability, decentralized trust, and auditable ledgers address persistent industry chall...

Ibrahim Yitmen, Amjad Almusaed, Asaad Almssad · 0 citations
#explainable ai Dataset Open access Oct 2026

INTELLIGENT PROCESS ANALYSIS BASED ON ARTIFICIAL INTELLIGENCE AND LOW-CODE PLATFORMS

The rapid development of artificial intelligence (AI), machine learning, process mining, and low-code development platforms is transforming the methods used to analyze and optimize organizational processes. Traditional process analysis generally depends on manually constructed process models, expert knowledge, and retr...

MUHAMMADIEVA AZIZA SHARIFOVNA, Worldly Knowledge Publishing Centre · 0 citations
#explainable ai Open access Oct 2026

Harbor: A framework for evaluating and optimizing agents and models in container environments

What's Changed Publish local launch tasks through the existing publisher by @scvance in https://github.com/harbor-framework/harbor/pull/3184 fix(environments): name the actual build-context dir in the missing-definition error by @hellno in https://github.com/harbor-framework/harbor/pull/2854 fix(codex): preserve web-se...

Harbor Framework Team · 0 citations
#explainable ai Open access Oct 2026

Explainable Artificial Intelligence for Computer Vision: A Comprehensive Study on Interpretability Techniques, and Applications

Abstract Convolutional neural networks (CNNs) have achieved state-of-the-art performance across computer vision tasks, including image classification, object detection, and medical image analysis. However, the opaque, black-box nature of these models limits their adoption in high-stakes domains such as healthcare, auto...

Ishan Gupta, Gaurav Jangid, Vishal Shrivastava et al. · 0 citations
#explainable ai Review Open access Oct 2026

Organizations know more than they learn: the hidden costs of single-use knowledge

To explore why organizations increasingly generate knowledge that supports immediate action but fails to contribute to sustained organizational learning. The article introduces the concept of single-use knowledge and examines how digitalization and artificial intelligence (AI) amplify the gap between knowledge crea...

Thomas Jackson, Ian R. Hodgkinson · 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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