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explainable ai

2,868 papers

#explainable ai Review Sep 2026

From responsibility gaps to meaningful human control: an ethical and regulatory governance framework for intelligent AI systems

The study demonstrates how MHC can be translated from an ethical principle into governance practice and shows that meaningful control depends not only on human involvement in decisions, but also on defined purposes and boundaries, operational procedures for review and correction, legal safeguards, and institutional cap...

Tak-Ming Yu, Xia Zheng, Hoi-Kuen Ng · 0 citations
#explainable ai Open access Sep 2026

Vectores de Desviación: Cartografía Operativa y Clasificación Sistemática de Maniobras Cognitivas en Sistemas Humanos y Algorítmicos

An Operational Atlas of Cognitive Maneuvers / Atlas Operativo de las Maniobras del Desvío Adaptive Interference Theory / Teoría de la Interferencia Adaptativa ABSTRACT The Theory of Adaptive Interference (TIA) proposes that cognitive systems—human and algorithmic—can reorganize their responses under dialectical pressur...

Teodoro Escaño · 0 citations
#explainable ai Sep 2026

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

The proposed framework treats AI governance as a strategic capacity of an organization, with accountability, transparency, explainability, human oversight and risk management integrated into the AI lifecycle, ensuring responsible innovation, continuous regulatory compliance and sustainable value creation for the organi...

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

Uri Benoliel demonstrates how AI and big data standards can assess whether disclosures genuinely help prospective franchisees understand key risks, and proposes a forward-looking framework that integrates technology into disclosure design, offering more reliable and scalable methods for regulatory oversight.

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

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Microsoft Research Blog Nov 3, 2026

Learn the rules: The hacker mindset

Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules. The post Learn the rules: The hacker mindset appeared first on Microsoft Research.

GPT-Lab Nov 3, 2026

Sovereignty Is the Option to Leave

Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.

MIT News · Artificial Intelligence Oct 30, 2026

Q&A: Hey AI, who should I vote for this year?

MIT professors Adam Berinsky and Chara Podimata discuss a new project to track how AI chatbots are responding to questions about the 2026 U.S. midterm elections.

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