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explainable ai

2,337 papers

#explainable ai Sep 2026

When Regulation Meets Innovation: How AI Governance Shapes Compliance and Organizational Performance

With the rapid advancement of Information Technology, including Artificial Intelligence (AI), organisations are innovating much faster, yet at the same time are also dealing with the complexities of regulation and governance. But as AI regulations continue to develop, organizations are faced with a challenge to impleme...

Anilreddy , Thu Phuong Bhimavarapu , Vu · 0 citations
#explainable ai Open access Sep 2026

A Quantitative Explainability Framework for Multimodal Tuberculosis Screening Using Late Fusion and Quadrant-Based Grad-CAM

Tuberculosis (TB) remains a major global health challenge, particularly in resource-constrained settings where timely access to expert radiological interpretation is limited. Although artificial intelligence (AI)-based chest X-ray (CXR) screening systems have demonstrated promising diagnostic performance, limited expla...

Furaha Marwa · 0 citations
#explainable ai Open access Sep 2026

VeilGuard: A Multi-Modal AI Framework for Detecting Hidden Communications, Covert Payloads, and Emerging Cyber Threats

VeilGuard presents a multimodal artificial intelligence framework for identifying hidden communications, covert payloads, and emerging cyber threats across heterogeneous digital content. The proposed architecture combines AI-driven content analysis, anomaly detection, contextual reasoning, and explainable threat assess...

Eugene Ezenwa Ebem · 0 citations
#explainable ai Review Open access Sep 2026

Explainable AI-Based Intrusion Detection Systems for IoT Environments: A Systematic Literature Review

This paper aims to provide a foundational resource to guide future research on reliable, explainable, and practical IoT intrusion detection systems by identifying the problems addressed in current research and highlighting the limitations in the literature.

Murat Varol, Aykut Karakaya · 0 citations
#explainable ai Open access Sep 2026

Code for: Deep Learning for Odontoid Fractures: The Critical Role of Patient-Level Partitioning and Grad-CAM Verification in Model Generalization

Description This repository contains the complete, reproducible PyTorch source code for the study "Deep Learning for Odontoid Fractures: The Critical Role of Patient-Level Partitioning and Grad-CAM Verification in Model Generalization". The codebase implements an end-to-end deep learning framework designed to eliminate...

Yunus Emre Kıymaz, Şakir Taşdemir, Burak Gezer et al. · 0 citations
#explainable ai Open access Sep 2026

Plain Language Is Not Enough: Reference, Time and Category as Barriers to Finding and Understanding Law

Slides from an invited talk given at the international conference "The Labyrinth of (Social) Rights: Linguistic, Systematic and Other Barriers to Access to Legal Protection" (ARIS project J5-50169), Faculty of Law, University of Ljubljana, 11 September 2026, panel 2 "AI and Legal Text Understanding". No conference proc...

Andrej Seršen · 0 citations
#explainable ai Book Sep 2026

Disclosure Laws in the Digital Era

Disclosure laws aim to empower individuals to make better decisions, yet in practice they often overwhelm readers with excessive and inaccessible information. Disclosure Laws in the Digital Era explains why traditional regulatory approaches fall short and how technological advances offer new opportunities to evaluate a...

Uri Benoliel · 0 citations
#explainable ai Open access Sep 2026

Plain Language Is Not Enough: Reference, Time and Category as Barriers to Finding and Understanding Law

Slides from an invited talk given at the international conference "The Labyrinth of (Social) Rights: Linguistic, Systematic and Other Barriers to Access to Legal Protection" (ARIS project J5-50169), Faculty of Law, University of Ljubljana, 11 September 2026, panel 2 "AI and Legal Text Understanding". No conference proc...

Andrej Seršen · 0 citations
#graph neural networks Open access Sep 2026

Artificial Intelligence in Healthcare and Drug Discovery: From Predictive Diagnostics to Precision Medicine

The integration of artificial intelligence (AI) and deep learning with the biomedical research marks a critical inflection point, shifting the paradigm from addressing symptoms to predicting and acting at the molecular level. In many diagnostic models, the chain reaction triggered by a chronic infection is often overlo...

Rohit Shamsundar Tawade, Abhijeet P. Goad, Maryston Gregory Sequeira, Dr. Anupam Kumar · 0 citations
#graph neural networks Open access Sep 2026

Next-Generation Deep Learning: A Comprehensive Survey on Explainable, Efficient, Privacy-Preserving and Multimodal Artificial Intelligence

The continuous evolution of deep learning has significantly expanded the capabilities of artificial intelligence, enabling intelligent systems to solve increasingly complex problems across healthcare, computer vision, natural language processing, cybersecurity, finance, autonomous systems, and smart environments.Beginn...

K. Ramalakshmi, S. Prema, M. Ajithaveni et al. · 0 citations
#reinforcement learning Editorial Open access Sep 2026

Editorial: Smart forecasting: deep learning and explainable AI for real-world time series prediction

For analytical clarity, the contributions can be organized into four interrelated thematic areas: Smart Forecasting Beyond Finance; Deep Learning and Hybrid Models for Financial Forecasting; Large Language Models for Next-Generation Forecasting; and Perspectives on Intelligent Forecasting. Together, these themes reflec...

L. Barolli, Antonino Ferraro, Antonio Galli et al. · 0 citations
#generative ai Open access Sep 2026

AI Fundamentals – Unit IV: AI in Research, Generative AI and Prompt Engineering

Unit IV – AI in Research, Generative AI and Prompt Engineering is an Open Educational Resource (OER) presentation developed for the undergraduate AI Fundamentals course. This presentation introduces the use of Artificial Intelligence in experimentation and multidisciplinary research, followed by the fundamentals of Gen...

Venkata Krishnaveni Chennuru · 0 citations

From tech blogs

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Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.

GPT-Lab Oct 12, 2026

AI Has Grown Up. Have We?

AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.

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