explainable ai

AI-Powered Self-Healing Databases: The Future of Intelligent Database Management

The concept, working process, key features, benefits, challenges, applications, and future scope of AI-powered self-healing databases in simple and easy-to-understand language are explained.

Enhancing AI-powered Malware Detection Against Adversarial Attacks Using Architecture-aware Robustness and Explainability Analysis

Artificial intelligence, judicial precedent and responsible judicial AI governance in Uganda: ethical, constitutional and institutional implications of AI-assisted legal research

Examination of AI-assisted legal research in Uganda’s Superior Courts through doctrinal, jurisprudential and normative analysis argues that precedent presents an ethical governance problem and requires governance of both the research output and the legal-information infrastructure that makes the output possible.

From principlism to practice: a five-principle safeguard framework for workplace AI

The article develops a Five-Principle Workplace AI Safeguard Matrix that links each principle to design evidence, organisational evidence and worker-facing evidence, and proposes Occupational AI Safeguard Rounds as a recurring interdisciplinary review practice connecting ethics, engineering, participation and redress.

U-NetL2O: An explainable model for low-dose CT image reconstruction

Developing nonviolent artificial intelligence: nonviolence as a principle of ethical AI

An interpretable and adaptive AI governance framework

This study proposes an explainable and adaptive AI governance approach from the perspective of time to balance AI governance and AI innovation.

Diagnosing Inconsistencies in 4d N=1 Gauge Theories with Explainable AI

Brane tilings are bipartite graphs on a 2-torus that encode the Lagrangians of 4d N=1 supersymmetric gauge theories arising on D3-branes probing toric Calabi-Yau 3-folds. Among these bipartite graphs, only those that satisfy geometric consistency conditions correspond to well-behaved quantum field theories. We train a...

Varenicline as a Repurposable Drug Candidate for ADRD Prevention

Varenicline use is associated with a lower risk of ADRD among older adults receiving smoking cessation therapy and the value of explainable AI-guided approaches to drug repurposing is underscored.

Novas tecnologias em investigação criminal: o uso da inteligência artificial.

The findings indicate that AI can increase the speed of evidence screening, assist in pattern identification and support experts in repetitive or highly complex tasks, but the literature also highlights limitations related to the quality and representativeness of databases, external validation, explainability, algorith...

Perks or perils? The dual effect of artificial intelligence-augmented human resource management digitization on employee performance

A contingent dual-pathway model of AI-HRM digitization is proposed in which the same digital HR transformation mechanism can elicit defensive and proactive employee responses simultaneously, and identifies task discretion as a key boundary condition, to explain when AI-HRM digitization will undermine or enhance employe...

An Explainable Vision Transformer-Based Framework for Walnut Disease Detection Using Occlusion Sensitivity Analysis

An end-to-end framework for walnut disease detection that uses deep learning and explainable artificial intelligence (XAI) along with the development of a web application is presented, which presents an interpretable, efficient, and scalable solution for walnut disease monitoring to support precision agriculture applic...