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Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI
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
Javier Del Ser
Adrien Bennetot
Siham Tabik
A. Barbado
S. García
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
    XAI
ArXiv (abs)PDFHTML

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

50 / 1,478 papers shown
Title
The Directed Prediction Change - Efficient and Trustworthy Fidelity Assessment for Local Feature Attribution Methods
The Directed Prediction Change - Efficient and Trustworthy Fidelity Assessment for Local Feature Attribution Methods
Kevin Iselborn
David Dembinsky
Adriano Lucieri
Andreas Dengel
AAMLFAtt
279
0
0
26 Nov 2025
Strategic Innovation Management in the Age of Large Language Models Market Intelligence, Adaptive R&D, and Ethical Governance
Strategic Innovation Management in the Age of Large Language Models Market Intelligence, Adaptive R&D, and Ethical Governance
Raha Aghaei
Ali A. Kiaei
Mahnaz Boush
Mahan Rofoosheh
Mohammad Zavvar
168
0
0
18 Nov 2025
Function Based Isolation Forest (FuBIF): A Unifying Framework for Interpretable Isolation-Based Anomaly Detection
Function Based Isolation Forest (FuBIF): A Unifying Framework for Interpretable Isolation-Based Anomaly Detection
Alessio Arcudi
Alessandro Ferreri
Francesco Borsatti
Gian Antonio Susto
138
0
0
08 Nov 2025
Large Language Models for Explainable Threat Intelligence
Large Language Models for Explainable Threat Intelligence
Tiago Dinis
Miguel Correia
Roger Tavares
132
0
0
07 Nov 2025
Are We Aligned? A Preliminary Investigation of the Alignment of Responsible AI Values between LLMs and Human Judgment
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
176
0
0
06 Nov 2025
Uncertainties in Physics-informed Inverse Problems: The Hidden Risk in Scientific AI
Uncertainties in Physics-informed Inverse Problems: The Hidden Risk in Scientific AI
Yoh-ichi Mototake
Makoto Sasaki
PINNAI4CE
248
0
0
06 Nov 2025
POEMS: Product of Experts for Interpretable Multi-omic Integration using Sparse Decoding
POEMS: Product of Experts for Interpretable Multi-omic Integration using Sparse Decoding
Mihriban Kocak Balik
Pekka Marttinen
Negar Safinianaini
156
0
0
05 Nov 2025
Interpretable Model-Aware Counterfactual Explanations for Random Forest
Interpretable Model-Aware Counterfactual Explanations for Random Forest
Joshua S. Harvey
Guanchao Feng
Sai Anusha Meesala
Tina Zhao
Dhagash Mehta
FAttCML
309
0
0
31 Oct 2025
Towards Human-AI Synergy in Requirements Engineering: A Framework and Preliminary Study
Towards Human-AI Synergy in Requirements Engineering: A Framework and Preliminary StudyInternational Conference on Intelligent Data Science Technologies and Applications (IDSTA), 2025
Mateen Ahmed Abbasi
Petri Ihantola
T. Mikkonen
Niko Mäkitalo
56
0
0
28 Oct 2025
ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models
ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models
Bosong Huang
Ming Jin
Yuxuan Liang
Johan Barthelemy
Debo Cheng
Qingsong Wen
Chenghao Liu
Shirui Pan
AI4TS
124
0
0
23 Oct 2025
Leveraging Association Rules for Better Predictions and Better Explanations
Leveraging Association Rules for Better Predictions and Better Explanations
Gilles Audemard
S. Coste-Marquis
Pierre Marquis
Mehdi Sabiri
N. Szczepanski
84
0
0
21 Oct 2025
A Rectification-Based Approach for Distilling Boosted Trees into Decision Trees
A Rectification-Based Approach for Distilling Boosted Trees into Decision Trees
Gilles Audemard
S. Coste-Marquis
Pierre Marquis
Mehdi Sabiri
N. Szczepanski
72
0
0
21 Oct 2025
Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations
Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations
Shahin Atakishiyev
H. Babiker
Jiayi Dai
Nawshad Farruque
Teruaki Hayashi
...
Md Abed Rahman
Iain Smith
Mi-Young Kim
Osmar R. Zaïane
Randy Goebel
LRM
121
0
0
20 Oct 2025
A Multimodal XAI Framework for Trustworthy CNNs and Bias Detection in Deep Representation Learning
A Multimodal XAI Framework for Trustworthy CNNs and Bias Detection in Deep Representation Learning
Noor Islam S. Mohammad
90
0
0
14 Oct 2025
On the Design and Evaluation of Human-centered Explainable AI Systems: A Systematic Review and Taxonomy
On the Design and Evaluation of Human-centered Explainable AI Systems: A Systematic Review and Taxonomy
Aline Mangold
Juliane Zietz
Susanne Weinhold
Sebastian Pannasch
XAIELM
127
0
0
14 Oct 2025
Restricted Receptive Fields for Face Verification
Restricted Receptive Fields for Face Verification
Kagan Öztürk
Aman Bhatta
Haiyu Wu
Patrick Flynn
Kevin W. Bowyer
CVBMFAtt
169
0
0
12 Oct 2025
Explainable Human-in-the-Loop Segmentation via Critic Feedback Signals
Explainable Human-in-the-Loop Segmentation via Critic Feedback Signals
Pouya Shaeri
Ryan T. Woo
Yasaman Mohammadpour
Ariane Middel
92
0
0
11 Oct 2025
MedAgentAudit: Diagnosing and Quantifying Collaborative Failure Modes in Medical Multi-Agent Systems
MedAgentAudit: Diagnosing and Quantifying Collaborative Failure Modes in Medical Multi-Agent Systems
Lei Gu
Yinghao Zhu
Haoran Sang
Zixiang Wang
Dehao Sui
Wen Tang
Ewen M. Harrison
Junyi Gao
Lequan Yu
Liantao Ma
85
1
0
11 Oct 2025
Towards Meaningful Transparency in Civic AI Systems
Towards Meaningful Transparency in Civic AI Systems
Dave Murray-Rust
Kars Alfrink
Cristina Zaga
108
0
0
09 Oct 2025
Explaining raw data complexity to improve satellite onboard processing
Explaining raw data complexity to improve satellite onboard processing
Adrien Dorise
Marjorie Bellizzi
Adrien Girard
Benjamin Francesconi
Stéphane May
87
0
0
08 Oct 2025
Accountability Capture: How Record-Keeping to Support AI Transparency and Accountability (Re)shapes Algorithmic Oversight
Accountability Capture: How Record-Keeping to Support AI Transparency and Accountability (Re)shapes Algorithmic Oversight
Shreya Chappidi
Jennifer Cobbe
Chris Norval
A. Mazumder
Jatinder Singh
80
0
0
06 Oct 2025
Onto-Epistemological Analysis of AI Explanations
Onto-Epistemological Analysis of AI Explanations
Martina Mattioli
Eike Petersen
Aasa Feragen
Marcello Pelillo
Siavash Bigdeli
180
0
0
03 Oct 2025
Mechanistic Interpretability as Statistical Estimation: A Variance Analysis of EAP-IG
Mechanistic Interpretability as Statistical Estimation: A Variance Analysis of EAP-IG
Maxime Méloux
François Portet
Maxime Peyrard
139
0
0
01 Oct 2025
CORTEX: Collaborative LLM Agents for High-Stakes Alert Triage
CORTEX: Collaborative LLM Agents for High-Stakes Alert Triage
Bowen Wei
Yuan Shen Tay
Howard Liu
Jinhao Pan
Kun Luo
Ziwei Zhu
Chris Jordan
LLMAG
68
1
0
30 Sep 2025
An Analysis of the New EU AI Act and A Proposed Standardization Framework for Machine Learning Fairness
An Analysis of the New EU AI Act and A Proposed Standardization Framework for Machine Learning Fairness
Mike Teodorescu
Yongxu Sun
Haren N. Bhatia
Christos Makridis
80
0
0
30 Sep 2025
An Agent-Based Framework for Automated Higher-Voice Harmony Generation
An Agent-Based Framework for Automated Higher-Voice Harmony Generation
Nia D'Souza Ganapathy
Arul Selvamani Shaja
78
0
0
29 Sep 2025
Semantic-Inductive Attribute Selection for Zero-Shot Learning
Semantic-Inductive Attribute Selection for Zero-Shot Learning
Juan Jose Herrera-Aranda
Guillermo Gomez-Trenado
Francisco Herrera
I. Triguero
VLM
83
0
0
26 Sep 2025
Does AI Coaching Prepare us for Workplace Negotiations?
Does AI Coaching Prepare us for Workplace Negotiations?
Veda Duddu
Jash Rajesh Parekh
Andy Mao
Hanyi Min
Ziang Xiao
V. D. Swain
Koustuv Saha
89
0
0
26 Sep 2025
Multiplicative-Additive Constrained Models:Toward Joint Visualization of Interactive and Independent Effects
Multiplicative-Additive Constrained Models:Toward Joint Visualization of Interactive and Independent Effects
Fumin Wang
70
0
0
26 Sep 2025
"I think this is fair'': Uncovering the Complexities of Stakeholder Decision-Making in AI Fairness Assessment
"I think this is fair'': Uncovering the Complexities of Stakeholder Decision-Making in AI Fairness Assessment
Lin Luo
Yuri Nakao
Mathieu Chollet
Hiroya Inakoshi
Simone Stumpf
84
0
0
22 Sep 2025
Cross-Attention is Half Explanation in Speech-to-Text Models
Cross-Attention is Half Explanation in Speech-to-Text Models
Sara Papi
Dennis Fucci
Marco Gaido
Matteo Negri
L. Bentivogli
LRM
116
0
0
22 Sep 2025
Towards a Transparent and Interpretable AI Model for Medical Image Classifications
Towards a Transparent and Interpretable AI Model for Medical Image ClassificationsCognitive Neurodynamics (Cogn Neurodyn), 2025
Binbin Wen
Yihang Wu
Tareef Daqqaq
Ahmad Chaddad
91
0
0
20 Sep 2025
Explicit vs. Implicit Biographies: Evaluating and Adapting LLM Information Extraction on Wikidata-Derived Texts
Explicit vs. Implicit Biographies: Evaluating and Adapting LLM Information Extraction on Wikidata-Derived Texts
Alessandra Stramiglio
Andrea Schimmenti
Valentina Pasqual
M. Erp
Francesco Sovrano
F. Vitali
72
0
0
18 Sep 2025
Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins
Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins
Erblin Isaku
C. Gomes
Shaukat Ali
Beatriz Sanguino
Tongtong Wang
Guoyuan Li
Houxiang Zhang
Thomas Peyrucain
136
2
0
16 Sep 2025
Secure Human Oversight of AI: Exploring the Attack Surface of Human Oversight
Secure Human Oversight of AI: Exploring the Attack Surface of Human Oversight
Jonas C. Ditz
Veronika Lazar
Elmar Lichtmeß
Carola Plesch
Matthias Heck
Kevin Baum
Markus Langer
AAML
142
0
0
15 Sep 2025
Explainable Unsupervised Multi-Anomaly Detection and Temporal Localization in Nuclear Times Series Data with a Dual Attention-Based Autoencoder
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
124
0
0
15 Sep 2025
Clarifying Model Transparency: Interpretability versus Explainability in Deep Learning with MNIST and IMDB Examples
Clarifying Model Transparency: Interpretability versus Explainability in Deep Learning with MNIST and IMDB Examples
Mitali Raj
60
0
0
13 Sep 2025
The Morality of Probability: How Implicit Moral Biases in LLMs May Shape the Future of Human-AI Symbiosis
The Morality of Probability: How Implicit Moral Biases in LLMs May Shape the Future of Human-AI Symbiosis
Eoin O'Doherty
Nicole Weinrauch
Andrew Talone
Uri Klempner
Xiaoyuan Yi
Xing Xie
Yi Zeng
68
0
0
12 Sep 2025
Investigating Feature Attribution for 5G Network Intrusion Detection
Investigating Feature Attribution for 5G Network Intrusion Detection
Federica Uccello
Simin Nadjm-Tehrani
FAtt
180
1
0
12 Sep 2025
Uncertainty Awareness and Trust in Explainable AI- On Trust Calibration using Local and Global Explanations
Uncertainty Awareness and Trust in Explainable AI- On Trust Calibration using Local and Global Explanations
Carina Newen
Daniel Bodemer
Sonja Glantz
Emmanuel Müller
Magdalena Wischnewski
Lenka Schnaubert
108
0
0
10 Sep 2025
Explainability of CNN Based Classification Models for Acoustic Signal
Explainability of CNN Based Classification Models for Acoustic Signal
Zubair Faruqui
Mackenzie S. McIntire
Rahul Dubey
Jay McEntee
68
0
0
10 Sep 2025
Enhancing IoMT Security with Explainable Machine Learning: A Case Study on the CICIOMT2024 Dataset
Enhancing IoMT Security with Explainable Machine Learning: A Case Study on the CICIOMT2024 Dataset
Mohammed Yacoubi
Omar Moussaoui
C. Drocourt
56
0
0
10 Sep 2025
Temporal Image Forensics: A Review and Critical Evaluation
Temporal Image Forensics: A Review and Critical Evaluation
Robert Jöchl
Andreas Uhl
100
0
0
09 Sep 2025
Explainable Swarm: A Methodological Framework for Interpreting Swarm Intelligence
Explainable Swarm: A Methodological Framework for Interpreting Swarm IntelligenceInternational Conference on Process Control (ICPC), 2025
Nitin Gupta
Bapi Dutta
Anupam Yadav
136
0
0
08 Sep 2025
Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework
Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework
David Herrera-Poyatos
Carlos Peláez-González
Cristina Zuheros
Virilo Tejedor
Rosana Montes
F. Herrera
68
0
0
05 Sep 2025
Accountability Framework for Healthcare AI Systems: Towards Joint Accountability in Decision Making
Accountability Framework for Healthcare AI Systems: Towards Joint Accountability in Decision Making
Prachi Bagave
Marcus Westberg
Marijn Janssen
Aaron Yi Ding
63
0
0
03 Sep 2025
Explainable Knowledge Graph Retrieval-Augmented Generation (KG-RAG) with KG-SMILE
Explainable Knowledge Graph Retrieval-Augmented Generation (KG-RAG) with KG-SMILE
Zahra Zehtabi Sabeti Moghaddam
Zeinab Dehghani
Maneeha Rani
Mohammed Naveed Akram
B. Mishra
R. R. Kureshi
D. Thakker
124
0
0
03 Sep 2025
Explainability-Driven Dimensionality Reduction for Hyperspectral Imaging
Explainability-Driven Dimensionality Reduction for Hyperspectral Imaging
S. Haidar
José Oramas
88
0
0
02 Sep 2025
Ultra Strong Machine Learning: Teaching Humans Active Learning Strategies via Automated AI Explanations
Ultra Strong Machine Learning: Teaching Humans Active Learning Strategies via Automated AI Explanations
L. Ai
Johannes Langer
Ute Schmid
Stephen Muggleton
169
0
0
31 Aug 2025
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating
Michael Widener
Kausik Lakkaraju
John Aydin
Biplav Srivastava
AI4TS
108
0
0
28 Aug 2025
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