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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

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 / 1,389 papers shown
Title
The Role of Explanation Styles and Perceived Accuracy on Decision Making in Predictive Process Monitoring
The Role of Explanation Styles and Perceived Accuracy on Decision Making in Predictive Process Monitoring
Soobin Chae
Suhwan Lee
Hanna Hauptmann
H. Reijers
Xixi Lu
9
0
0
19 Jun 2025
Mxplainer: Explain and Learn Insights by Imitating Mahjong Agents
Mxplainer: Explain and Learn Insights by Imitating Mahjong Agents
Lingfeng Li
Yunlong Lu
Yongyi Wang
Qifan Zheng
Wenxin Li
LLMAG
33
0
0
17 Jun 2025
Towards Explaining Monte-Carlo Tree Search by Using Its Enhancements
Towards Explaining Monte-Carlo Tree Search by Using Its Enhancements
Jakub Kowalski
M. Winands
Maksymilian Wiśniewski
Stanisław Reda
Anna Wilbik
17
0
0
16 Jun 2025
Interpretable Few-Shot Image Classification via Prototypical Concept-Guided Mixture of LoRA Experts
Zhong Ji
Rongshuai Wei
Jingren Liu
Yanwei Pang
Jungong Han
95
0
0
05 Jun 2025
Hierarchical Question-Answering for Driving Scene Understanding Using Vision-Language Models
Hierarchical Question-Answering for Driving Scene Understanding Using Vision-Language Models
Safaa Abdullahi Moallim Mohamud
Minjin Baek
Dong Seog Han
56
0
0
03 Jun 2025
Composable Building Blocks for Controllable and Transparent Interactive AI Systems
Composable Building Blocks for Controllable and Transparent Interactive AI Systems
Sebe Vanbrabant
Gustavo Rovelo Ruiz
Davy Vanacken
28
0
0
02 Jun 2025
Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability
Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability
Yarden Bakish
Itamar Zimerman
Hila Chefer
Lior Wolf
22
0
0
02 Jun 2025
Efficient Preimage Approximation for Neural Network Certification
Efficient Preimage Approximation for Neural Network Certification
Anton Björklund
Mykola Zaitsev
Marta Kwiatkowska
AAML
33
0
0
28 May 2025
UGCE: User-Guided Incremental Counterfactual Exploration
UGCE: User-Guided Incremental Counterfactual Exploration
Christos Fragkathoulas
E. Pitoura
22
0
0
27 May 2025
A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models
A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models
Tangzheng Lian
Oya Celiktutan
26
0
0
26 May 2025
Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals
Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals
Marouane Il Idrissi
Agathe Fernandes Machado
Ewen Gallic
Arthur Charpentier
241
0
0
19 May 2025
Model Discovery with Grammatical Evolution. An Experiment with Prime Numbers
Model Discovery with Grammatical Evolution. An Experiment with Prime Numbers
Jakub Skrzyński
Dominik Sepioło
Antoni Ligęza
25
0
0
18 May 2025
Growable and Interpretable Neural Control with Online Continual Learning for Autonomous Lifelong Locomotion Learning Machines
Growable and Interpretable Neural Control with Online Continual Learning for Autonomous Lifelong Locomotion Learning Machines
Arthicha Srisuchinnawong
Poramate Manoonpong
CLLLRM
77
1
0
17 May 2025
X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models
X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models
Valentina Bazyleva
Nicolo Bonettini
Gaurav Bharaj
DiffM
115
0
0
16 May 2025
Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods
Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods
Fahad Almalki
Mehedi Masud
156
0
0
15 May 2025
Beyond the Black Box: Interpretability of LLMs in Finance
Beyond the Black Box: Interpretability of LLMs in Finance
Hariom Tatsat
Ariye Shater
AIFin
70
0
0
14 May 2025
Discovering Concept Directions from Diffusion-based Counterfactuals via Latent Clustering
Discovering Concept Directions from Diffusion-based Counterfactuals via Latent Clustering
Payal Varshney
Adriano Lucieri
Christoph Balada
Andreas Dengel
Sheraz Ahmed
DiffM
165
0
0
11 May 2025
Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users
Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users
Julian Rosenberger
Philipp Schröppel
Sven Kruschel
Mathias Kraus
Patrick Zschech
Maximilian Förster
FAtt
157
0
0
11 May 2025
Wasserstein Distances Made Explainable: Insights into Dataset Shifts and Transport Phenomena
Wasserstein Distances Made Explainable: Insights into Dataset Shifts and Transport Phenomena
Philip Naumann
Jacob R. Kauffmann
G. Montavon
87
0
0
09 May 2025
See What I Mean? CUE: A Cognitive Model of Understanding Explanations
See What I Mean? CUE: A Cognitive Model of Understanding Explanations
Tobias Labarta
Nhi Hoang
Katharina Weitz
Wojciech Samek
Sebastian Lapuschkin
Leander Weber
19
0
0
09 May 2025
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Sonal Allana
Mohan Kankanhalli
Rozita Dara
91
0
0
05 May 2025
PointExplainer: Towards Transparent Parkinson's Disease Diagnosis
PointExplainer: Towards Transparent Parkinson's Disease Diagnosis
Xuechao Wang
S. Nõmm
Junqing Huang
Kadri Medijainen
A. Toomela
Michael Ruzhansky
AAMLFAtt
62
0
0
04 May 2025
Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI
Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI
Jonas Bokstaller
Julia Altheimer
Julian Dormehl
Alina Buss
Jasper Wiltfang
Johannes Schneider
Maximilian Röglinger
71
0
0
02 May 2025
Artificial Intelligence in Government: Why People Feel They Lose Control
Artificial Intelligence in Government: Why People Feel They Lose Control
Alexander Wuttke
Adrian Rauchfleisch
Andreas Jungherr
89
1
0
02 May 2025
Explanations as Bias Detectors: A Critical Study of Local Post-hoc XAI Methods for Fairness Exploration
Explanations as Bias Detectors: A Critical Study of Local Post-hoc XAI Methods for Fairness Exploration
Vasiliki Papanikou
Danae Pla Karidi
E. Pitoura
Emmanouil Panagiotou
Eirini Ntoutsi
162
0
0
01 May 2025
Thoughts without Thinking: Reconsidering the Explanatory Value of Chain-of-Thought Reasoning in LLMs through Agentic Pipelines
Thoughts without Thinking: Reconsidering the Explanatory Value of Chain-of-Thought Reasoning in LLMs through Agentic Pipelines
R. Manuvinakurike
Emanuel Moss
E. A. Watkins
Saurav Sahay
G. Raffa
L. Nachman
LRM
78
0
0
01 May 2025
RuleKit 2: Faster and simpler rule learning
RuleKit 2: Faster and simpler rule learning
Adam Gudyś
Cezary Maszczyk
Joanna Badura
Adam Grzelak
Marek Sikora
Łukasz Wróbel
AI4TS
52
0
0
29 Apr 2025
DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning
DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning
Volkan Bakir
Polat Goktas
Sureyya Akyuz
97
0
0
26 Apr 2025
SSA-UNet: Advanced Precipitation Nowcasting via Channel Shuffling
SSA-UNet: Advanced Precipitation Nowcasting via Channel Shuffling
Marco Turzi
Siamak Mehrkanoon
AI4TS
167
0
0
25 Apr 2025
Testing Individual Fairness in Graph Neural Networks
Testing Individual Fairness in Graph Neural Networks
Roya Nasiri
77
0
0
25 Apr 2025
Reliable and Efficient Inverse Analysis using Physics-Informed Neural Networks with Distance Functions and Adaptive Weight Tuning
Reliable and Efficient Inverse Analysis using Physics-Informed Neural Networks with Distance Functions and Adaptive Weight Tuning
Shota Deguchi
Mitsuteru Asai
PINNAI4CE
174
0
0
25 Apr 2025
Crisp complexity of fuzzy classifiers
Crisp complexity of fuzzy classifiers
Raquel Fernandez-Peralta
Javier Fumanal-Idocin
Javier Andreu-Perez
32
0
0
22 Apr 2025
Towards responsible AI for education: Hybrid human-AI to confront the Elephant in the room
Towards responsible AI for education: Hybrid human-AI to confront the Elephant in the room
Danial Hooshyar
Gustav Šír
Yeongwook Yang
Eve Kikas
Raija Hamalainen
T. Karkkainen
Dragan Gašević
Roger Azevedo
118
0
0
22 Apr 2025
Readable Twins of Unreadable Models
Readable Twins of Unreadable Models
Krzysztof Pancerz
Piotr Kulicki
Michał Kalisz
Andrzej Burda
Maciej Stanisławski
Jaromir Sarzyński
SyDa
151
0
0
17 Apr 2025
Evolutionary Reinforcement Learning for Interpretable Decision-Making in Supply Chain Management
Evolutionary Reinforcement Learning for Interpretable Decision-Making in Supply Chain Management
Stefano Genetti
Alberto Longobardi
Giovanni Iacca
96
0
0
16 Apr 2025
"Even explanations will not help in trusting [this] fundamentally biased system": A Predictive Policing Case-Study
"Even explanations will not help in trusting [this] fundamentally biased system": A Predictive Policing Case-Study
Siddharth Mehrotra
Ujwal Gadiraju
Eva Bittner
Folkert van Delden
Catholijn M. Jonker
Myrthe L. Tielman
76
0
0
15 Apr 2025
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations
Indu Panigrahi
Sunnie S. Y. Kim
Amna Liaqat
Rohan Jinturkar
Olga Russakovsky
Ruth C. Fong
Parastoo Abtahi
FAttHAI
251
1
0
14 Apr 2025
Uncovering the Structure of Explanation Quality with Spectral Analysis
Uncovering the Structure of Explanation Quality with Spectral Analysis
Johannes Maeß
G. Montavon
Shinichi Nakajima
Klaus-Robert Müller
Thomas Schnake
FAtt
109
0
0
11 Apr 2025
Towards an Evaluation Framework for Explainable Artificial Intelligence Systems for Health and Well-being
Towards an Evaluation Framework for Explainable Artificial Intelligence Systems for Health and Well-being
Esperança Amengual-Alcover
Antoni Jaume-i-Capó
Miquel Miró-Nicolau
Gabriel Moyà Alcover
Antonia Paniza-Fullana
102
0
0
11 Apr 2025
Explainable AI for building energy retrofitting under data scarcity
Explainable AI for building energy retrofitting under data scarcity
Panagiota Rempi
Sotiris Pelekis
Alexandros-Menelaos Tzortzis
Evangelos Karakolis
Christos Ntanos
D. Askounis
111
1
0
08 Apr 2025
AEGIS: Human Attention-based Explainable Guidance for Intelligent Vehicle Systems
AEGIS: Human Attention-based Explainable Guidance for Intelligent Vehicle Systems
Zhuoli Zhuang
Cheng-You Lu
Yu-Cheng Chang
Yu-Kai Wang
T. Do
Chin-Teng Lin
115
0
0
08 Apr 2025
The challenge of uncertainty quantification of large language models in medicine
The challenge of uncertainty quantification of large language models in medicine
Zahra Atf
Seyed Amir Ahmad Safavi-Naini
Peter Lewis
Aref Mahjoubfar
Nariman Naderi
Thomas Savage
Ali Soroush
78
3
0
07 Apr 2025
An overview of model uncertainty and variability in LLM-based sentiment analysis. Challenges, mitigation strategies and the role of explainability
An overview of model uncertainty and variability in LLM-based sentiment analysis. Challenges, mitigation strategies and the role of explainability
David Herrera-Poyatos
Carlos Peláez-González
Cristina Zuheros
Andrés Herrera-Poyatos
Virilo Tejedor
F. Herrera
Rosana Montes
99
2
0
06 Apr 2025
Do We Need Responsible XR? Drawing on Responsible AI to Inform Ethical Research and Practice into XRAI / the Metaverse
Do We Need Responsible XR? Drawing on Responsible AI to Inform Ethical Research and Practice into XRAI / the Metaverse
Mark Mcgill
Joseph O'Hagan
Thomas Goodge
Graham Wilson
M. Khamis
Veronika Krauß
Jan Gugenheimer
57
0
0
06 Apr 2025
Engineering Artificial Intelligence: Framework, Challenges, and Future Direction
Engineering Artificial Intelligence: Framework, Challenges, and Future Direction
Jay Lee
Hanqi Su
Dai-Yan Ji
Takanobu Minami
AI4CE
148
0
0
03 Apr 2025
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness
Juliett Suárez Ferreira
Marija Slavkovik
Jorge Casillas
FaML
141
0
0
03 Apr 2025
Towards Responsible and Trustworthy Educational Data Mining: Comparing Symbolic, Sub-Symbolic, and Neural-Symbolic AI Methods
Towards Responsible and Trustworthy Educational Data Mining: Comparing Symbolic, Sub-Symbolic, and Neural-Symbolic AI Methods
Danial Hooshyar
Eve Kikas
Yeongwook Yang
Gustav Šír
Raija Hamalainen
T. Karkkainen
Roger Azevedo
128
1
0
01 Apr 2025
Graph Classification and Radiomics Signature for Identification of Tuberculous Meningitis
Graph Classification and Radiomics Signature for Identification of Tuberculous Meningitis
Snigdha Agarwal
Ganaraja V H
N. Sinha
Abhilasha Indoria
Netravathi M
Jitender Saini
63
0
0
01 Apr 2025
Which LIME should I trust? Concepts, Challenges, and Solutions
Which LIME should I trust? Concepts, Challenges, and Solutions
Katharina Prasse
Sascha Marton
Udo Schlegel
Christian Bartelt
FAtt
126
2
0
31 Mar 2025
LLMs for Explainable AI: A Comprehensive Survey
LLMs for Explainable AI: A Comprehensive Survey
Ahsan Bilal
David Ebert
Beiyu Lin
186
7
0
31 Mar 2025
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