v1v2 (latest)

Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI

Information Fusion (Inf. Fusion), 2019

22 October 2019

Alejandro Barredo Arrieta

Natalia Díaz Rodríguez

Papers citing "Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI"

50 / 1,486 papers shown

A Framework for Causal Concept-based Model Explanations

02 Dec 2025

An Approach to Joint Hybrid Decision Making between Humans and Artificial Intelligence

Jonas D. Rockbach

Sven Fuchs

Maren Bennewitz

29 Nov 2025

Rethinking AI Evaluation in Education: The TEACH-AI Framework and Benchmark for Generative AI Assistants

Shi Ding

Brian Magerko

ELM

270

28 Nov 2025

MATCH: Engineering Transparent and Controllable Conversational XAI Systems through Composable Building Blocks

Sebe Vanbrabant

Gustavo Rovelo Ruiz

Davy Vanacken

27 Nov 2025

ABLE: Using Adversarial Pairs to Construct Local Models for Explaining Model Predictions

377

26 Nov 2025

Physics-Informed Spiking Neural Networks via Conservative Flux Quantization

Chi Zhang

Lin Wang

PINN

355

26 Nov 2025

The Directed Prediction Change - Efficient and Trustworthy Fidelity Assessment for Local Feature Attribution Methods

446

26 Nov 2025

Strategic Innovation Management in the Age of Large Language Models Market Intelligence, Adaptive R&D, and Ethical Governance

217

18 Nov 2025

Function Based Isolation Forest (FuBIF): A Unifying Framework for Interpretable Isolation-Based Anomaly Detection

172

08 Nov 2025

Large Language Models for Explainable Threat Intelligence

Tiago Dinis

Miguel Correia

Roger Tavares

203

07 Nov 2025

Uncertainties in Physics-informed Inverse Problems: The Hidden Risk in Scientific AI

Yoh-ichi Mototake

Makoto Sasaki

PINN AI4CE

331

06 Nov 2025

Are We Aligned? A Preliminary Investigation of the Alignment of Responsible AI Values between LLMs and Human Judgment

Asma Z. Yamani

Malak Baslyman

Moataz Ahmed

220

06 Nov 2025

POEMS: Product of Experts for Interpretable Multi-omic Integration using Sparse Decoding

Mihriban Kocak Balik

Pekka Marttinen

Negar Safinianaini

222

05 Nov 2025

Interpretable Model-Aware Counterfactual Explanations for Random Forest

385

31 Oct 2025

Towards Human-AI Synergy in Requirements Engineering: A Framework and Preliminary StudyInternational Conference on Intelligent Data Science Technologies and Applications (IDSTA), 2025

110

28 Oct 2025

ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models

200

23 Oct 2025

Assessing the Feasibility of Early Cancer Detection Using Routine Laboratory Data: An Evaluation of Machine Learning Approaches on an Imbalanced Dataset

Shumin Li

23 Oct 2025

A Rectification-Based Approach for Distilling Boosted Trees into Decision Trees

100

21 Oct 2025

Leveraging Association Rules for Better Predictions and Better Explanations

137

21 Oct 2025

Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations

...

169

20 Oct 2025

A Multimodal XAI Framework for Trustworthy CNNs and Bias Detection in Deep Representation Learning

Noor Islam S. Mohammad

128

14 Oct 2025

On the Design and Evaluation of Human-centered Explainable AI Systems: A Systematic Review and Taxonomy

157

14 Oct 2025

Restricted Receptive Fields for Face Verification

223

12 Oct 2025

Explainable Human-in-the-Loop Segmentation via Critic Feedback Signals

139

11 Oct 2025

MedAgentAudit: Diagnosing and Quantifying Collaborative Failure Modes in Medical Multi-Agent Systems

132

11 Oct 2025

Towards Meaningful Transparency in Civic AI Systems

Dave Murray-Rust

Kars Alfrink

Cristina Zaga

138

09 Oct 2025

Explaining raw data complexity to improve satellite onboard processing

150

08 Oct 2025

Accountability Capture: How Record-Keeping to Support AI Transparency and Accountability (Re)shapes Algorithmic Oversight

128

06 Oct 2025

Onto-Epistemological Analysis of AI Explanations

237

03 Oct 2025

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis

Maxime Méloux

François Portet

Maxime Peyrard

183

01 Oct 2025

An Analysis of the New EU AI Act and A Proposed Standardization Framework for Machine Learning Fairness

109

30 Sep 2025

CORTEX: Collaborative LLM Agents for High-Stakes Alert Triage

109

30 Sep 2025

An Agent-Based Framework for Automated Higher-Voice Harmony Generation

Nia D'Souza Ganapathy

Arul Selvamani Shaja

143

29 Sep 2025

Multiplicative-Additive Constrained Models:Toward Joint Visualization of Interactive and Independent Effects

Fumin Wang

106

26 Sep 2025

Semantic-Inductive Attribute Selection for Zero-Shot Learning

Juan Jose Herrera-Aranda

Guillermo Gomez-Trenado

Francisco Herrera

I. Triguero

VLM

151

26 Sep 2025

Does AI Coaching Prepare us for Workplace Negotiations?

130

26 Sep 2025

"I think this is fair'': Uncovering the Complexities of Stakeholder Decision-Making in AI Fairness Assessment

106

22 Sep 2025

Cross-Attention is Half Explanation in Speech-to-Text Models

161

22 Sep 2025

Towards a Transparent and Interpretable AI Model for Medical Image ClassificationsCognitive Neurodynamics (Cogn Neurodyn), 2025

131

20 Sep 2025

Explicit vs. Implicit Biographies: Evaluating and Adapting LLM Information Extraction on Wikidata-Derived Texts

Alessandra Stramiglio

105

18 Sep 2025

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins

200

16 Sep 2025

Explainable Unsupervised Multi-Anomaly Detection and Temporal Localization in Nuclear Times Series Data with a Dual Attention-Based Autoencoder

Konstantinos Vasili

Zachery T. Dahm

Stylianos Chatzidakis

AI4TS

193

15 Sep 2025

Secure Human Oversight of AI: Exploring the Attack Surface of Human Oversight

187

15 Sep 2025

Clarifying Model Transparency: Interpretability versus Explainability in Deep Learning with MNIST and IMDB Examples

Mitali Raj

13 Sep 2025

The Morality of Probability: How Implicit Moral Biases in LLMs May Shape the Future of Human-AI Symbiosis

143

12 Sep 2025

Investigating Feature Attribution for 5G Network Intrusion Detection

Federica Uccello

Simin Nadjm-Tehrani

FAtt

223

12 Sep 2025

Enhancing IoMT Security with Explainable Machine Learning: A Case Study on the CICIOMT2024 Dataset

Mohammed Yacoubi

Omar Moussaoui

C. Drocourt

110

10 Sep 2025

Explainability of CNN Based Classification Models for Acoustic Signal

Zubair Faruqui

Mackenzie S. McIntire

Rahul Dubey

Jay McEntee

151

10 Sep 2025

Uncertainty Awareness and Trust in Explainable AI- On Trust Calibration using Local and Global Explanations

Magdalena Wischnewski

Lenka Schnaubert

151

10 Sep 2025

Temporal Image Forensics: A Review and Critical Evaluation

Robert Jöchl

Andreas Uhl

142

09 Sep 2025