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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
Why do explanations fail? A typology and discussion on failures in XAI
Why do explanations fail? A typology and discussion on failures in XAI
Clara Bove
Thibault Laugel
Marie-Jeanne Lesot
C. Tijus
Marcin Detyniecki
71
3
0
22 May 2024
A machine learning framework for interpretable predictions in patient
  pathways: The case of predicting ICU admission for patients with symptoms of
  sepsis
A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis
Sandra Zilker
Sven Weinzierl
Mathias Kraus
Patrick Zschech
Martin Matzner
50
8
0
21 May 2024
Explainable offline automatic signature verifier to support forensic
  handwriting examiners
Explainable offline automatic signature verifier to support forensic handwriting examiners
Moisés Díaz
M. A. Ferrer-Ballester
G. Vessio
84
4
0
21 May 2024
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A
  Data-Morphology-based Counterfactual Generation Method for Trustworthy
  Artificial Intelligence
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A Data-Morphology-based Counterfactual Generation Method for Trustworthy Artificial Intelligence
José Daniel Pascual-Triana
Alberto Fernández
Javier Del Ser
Francisco Herrera
80
1
0
20 May 2024
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation
Iveta Becková
Stefan Pócos
Giulia Belgiovine
Marco Matarese
A. Sciutti
Carlo Mazzola
Carlo Mazzola
130
0
0
20 May 2024
Degree of Irrationality: Sentiment and Implied Volatility Surface
Degree of Irrationality: Sentiment and Implied Volatility Surface
Jiahao Weng
Yan Xie
34
0
0
20 May 2024
Explainable Facial Expression Recognition for People with Intellectual
  Disabilities
Explainable Facial Expression Recognition for People with Intellectual Disabilities
Silvia Ramis Guarinos
Cristina Manresa Yee
Jose Maria Buades Rubio
F. X. Gaya-Morey
CVBM
43
3
0
19 May 2024
Generative Artificial Intelligence: A Systematic Review and Applications
Generative Artificial Intelligence: A Systematic Review and Applications
S. S. Sengar
Affan Bin Hasan
Sanjay Kumar
Fiona Carroll
MedIm
76
74
0
17 May 2024
Challenging the Human-in-the-loop in Algorithmic Decision-making
Challenging the Human-in-the-loop in Algorithmic Decision-making
Sebastian Tschiatschek
Eugenia Stamboliev
Timothée Schmude
Mark Coeckelbergh
Laura M. Koesten
87
1
0
17 May 2024
Tell me more: Intent Fulfilment Framework for Enhancing User Experiences
  in Conversational XAI
Tell me more: Intent Fulfilment Framework for Enhancing User Experiences in Conversational XAI
A. Wijekoon
D. Corsar
Nirmalie Wiratunga
Kyle Martin
Pedram Salimi
96
2
0
16 May 2024
Mitigating Text Toxicity with Counterfactual Generation
Mitigating Text Toxicity with Counterfactual Generation
Milan Bhan
Jean-Noel Vittaut
Nina Achache
Victor Legrand
Nicolas Chesneau
A. Blangero
Juliette Murris
Marie-Jeanne Lesot
MedIm
215
0
0
16 May 2024
CIER: A Novel Experience Replay Approach with Causal Inference in Deep
  Reinforcement Learning
CIER: A Novel Experience Replay Approach with Causal Inference in Deep Reinforcement Learning
Jingwen Wang
Dehui Du
Yida Li
Yiyang Li
Yikang Chen
AI4TSCML
32
0
0
14 May 2024
Integrating supervised and unsupervised learning approaches to unveil
  critical process inputs
Integrating supervised and unsupervised learning approaches to unveil critical process inputs
Paris Papavasileiou
Dimitrios G. Giovanis
Gabriele Pozzetti
M. Kathrein
Christoph Czettl
Ioannis G. Kevrekidis
A. Boudouvis
Stéphane P. A. Bordas
E. D. Koronaki
47
3
0
13 May 2024
Evaluating the Explainable AI Method Grad-CAM for Breath Classification
  on Newborn Time Series Data
Evaluating the Explainable AI Method Grad-CAM for Breath Classification on Newborn Time Series Data
Camelia Oprea
Mike Grüne
Mateusz Buglowski
Lena Olivier
Thorsten Orlikowsky
Stefan Kowalewski
M. Schoberer
André Stollenwerk
AI4TS
64
0
0
13 May 2024
Towards a Novel Measure of User Trust in XAI Systems
Towards a Novel Measure of User Trust in XAI Systems
Miquel Miró-Nicolau
Gabriel Moyà Alcover
Antoni Jaume-i-Capó
Manuel González Hidalgo
Adel Ghazel
Maria Gemma Sempere Campello
Juan Antonio Palmer Sancho
55
0
0
09 May 2024
Overcoming Anchoring Bias: The Potential of AI and XAI-based Decision
  Support
Overcoming Anchoring Bias: The Potential of AI and XAI-based Decision Support
Felix Haag
Carlo Stingl
Katrin Zerfass
K. Hopf
Thorsten Staake
49
5
0
08 May 2024
Relevant Irrelevance: Generating Alterfactual Explanations for Image
  Classifiers
Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers
Silvan Mertes
Tobias Huber
Christina Karle
Katharina Weitz
Ruben Schlagowski
Cristina Conati
Elisabeth André
79
0
0
08 May 2024
False Sense of Security in Explainable Artificial Intelligence (XAI)
False Sense of Security in Explainable Artificial Intelligence (XAI)
N. C. Chung
Hongkyou Chung
Hearim Lee
L. Brocki
Hongbeom Chung
George C. Dyer
108
2
0
06 May 2024
Interpretable Network Visualizations: A Human-in-the-Loop Approach for
  Post-hoc Explainability of CNN-based Image Classification
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification
Matteo Bianchi
Antonio De Santis
Andrea Tocchetti
Marco Brambilla
MILMFAtt
54
4
0
06 May 2024
A Survey of Time Series Foundation Models: Generalizing Time Series
  Representation with Large Language Model
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model
Weiqi Zhang
Jiexia Ye
Ke Yi
Yongzi Yu
Ziyue Li
Jia Li
Fugee Tsung
AI4TSAI4CE
94
29
0
03 May 2024
When a Relation Tells More Than a Concept: Exploring and Evaluating
  Classifier Decisions with CoReX
When a Relation Tells More Than a Concept: Exploring and Evaluating Classifier Decisions with CoReX
Bettina Finzel
Patrick Hilme
Johannes Rabold
Ute Schmid
109
1
0
02 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and
  Beyond: A Survey
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey
Rokas Gipiškis
Chun-Wei Tsai
Olga Kurasova
95
10
0
02 May 2024
Mapping the Potential of Explainable AI for Fairness Along the AI
  Lifecycle
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
Luca Deck
Astrid Schomacker
Timo Speith
Jakob Schöffer
Lena Kästner
Niklas Kühl
76
4
0
29 Apr 2024
Constrained Neural Networks for Interpretable Heuristic Creation to
  Optimise Computer Algebra Systems
Constrained Neural Networks for Interpretable Heuristic Creation to Optimise Computer Algebra Systems
Dorian Florescu
Matthew England
37
1
0
26 Apr 2024
Rad4XCNN: a new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics
Rad4XCNN: a new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics
Francesco Prinzi
C. Militello
Calogero Zarcaro
T. Bartolotta
Salvatore Gaglio
Salvatore Vitabile
43
2
0
26 Apr 2024
On the Road to Clarity: Exploring Explainable AI for World Models in a
  Driver Assistance System
On the Road to Clarity: Exploring Explainable AI for World Models in a Driver Assistance System
Mohamed Roshdi
Julian Petzold
Mostafa Wahby
Hussein Ebrahim
Mladen Berekovic
Heiko Hamann
60
0
0
26 Apr 2024
An Explainable Deep Reinforcement Learning Model for Warfarin
  Maintenance Dosing Using Policy Distillation and Action Forging
An Explainable Deep Reinforcement Learning Model for Warfarin Maintenance Dosing Using Policy Distillation and Action Forging
Sadjad Anzabi Zadeh
W. N. Street
Barrett W. Thomas
71
1
0
26 Apr 2024
SIDEs: Separating Idealization from Deceptive Explanations in xAI
SIDEs: Separating Idealization from Deceptive Explanations in xAI
Emily Sullivan
79
2
0
25 Apr 2024
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients
Evandro S. Ortigossa
Fábio F. Dias
Brian Barr
Claudio T. Silva
L. G. Nonato
FAtt
167
3
0
25 Apr 2024
Explainable AI models for predicting liquefaction-induced lateral
  spreading
Explainable AI models for predicting liquefaction-induced lateral spreading
Cheng-Hsi Hsiao
Krishna Kumar
Ellen Rathje
63
8
0
24 Apr 2024
Explaining AI Decisions: Towards Achieving Human-Centered Explainability
  in Smart Home Environments
Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments
Md. Shajalal
Alexander Boden
Gunnar Stevens
Delong Du
Dean-Robin Kern
67
0
0
23 Apr 2024
Exploring Algorithmic Explainability: Generating Explainable AI Insights
  for Personalized Clinical Decision Support Focused on Cannabis Intoxication
  in Young Adults
Exploring Algorithmic Explainability: Generating Explainable AI Insights for Personalized Clinical Decision Support Focused on Cannabis Intoxication in Young Adults
Tongze Zhang
Tammy Chung
Anind Dey
Sang Won Bae
90
3
0
22 Apr 2024
Guided By AI: Navigating Trust, Bias, and Data Exploration in AI-Guided
  Visual Analytics
Guided By AI: Navigating Trust, Bias, and Data Exploration in AI-Guided Visual Analytics
Sunwoo Ha
S. Monadjemi
Alvitta Ottley
48
5
0
22 Apr 2024
Audio Anti-Spoofing Detection: A Survey
Audio Anti-Spoofing Detection: A Survey
Menglu Li
Yasaman Ahmadiadli
Xiao-Ping Zhang
102
25
0
22 Apr 2024
Explainable Lung Disease Classification from Chest X-Ray Images
  Utilizing Deep Learning and XAI
Explainable Lung Disease Classification from Chest X-Ray Images Utilizing Deep Learning and XAI
Tanzina Taher Ifty
Saleh Ahmed Shafin
Shoeb Mohammad Shahriar
Tashfia Towhid
57
10
0
17 Apr 2024
Use of Parallel Explanatory Models to Enhance Transparency of Neural
  Network Configurations for Cell Degradation Detection
Use of Parallel Explanatory Models to Enhance Transparency of Neural Network Configurations for Cell Degradation Detection
David Mulvey
C. Foh
M. Imran
Rahim Tafazolli
396
0
0
17 Apr 2024
AudioProtoPNet: An interpretable deep learning model for bird sound
  classification
AudioProtoPNet: An interpretable deep learning model for bird sound classification
René Heinrich
Bernhard Sick
Christoph Scholz
98
2
0
16 Apr 2024
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond
  Closed-Form Equations
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations
Krzysztof Kacprzyk
M. Schaar
58
1
0
15 Apr 2024
Application of the representative measure approach to assess the
  reliability of decision trees in dealing with unseen vehicle collision data
Application of the representative measure approach to assess the reliability of decision trees in dealing with unseen vehicle collision data
Javier Perera-Lago
Víctor Toscano-Durán
Eduardo Paluzo-Hidalgo
Sara Narteni
Matteo Rucco
30
0
0
15 Apr 2024
Question Generation in Knowledge-Driven Dialog: Explainability and
  Evaluation
Question Generation in Knowledge-Driven Dialog: Explainability and Evaluation
J. Faille
Quentin Brabant
Gwénolé Lecorvé
L. Rojas-Barahona
Claire Gardent
55
0
0
11 Apr 2024
Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of
  Human and Machine Explanations for Large Language Models
Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models
Marvin Pafla
Kate Larson
Mark Hancock
66
7
0
11 Apr 2024
Incremental XAI: Memorable Understanding of AI with Incremental
  Explanations
Incremental XAI: Memorable Understanding of AI with Incremental Explanations
Jessica Y. Bo
Pan Hao
Brian Y Lim
CLL
57
8
0
10 Apr 2024
AgentsCoDriver: Large Language Model Empowered Collaborative Driving
  with Lifelong Learning
AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning
Senkang Hu
Zhengru Fang
Zihan Fang
Yiqin Deng
Xianhao Chen
Yuguang Fang
123
35
0
09 Apr 2024
Interpretability in Symbolic Regression: a benchmark of Explanatory
  Methods using the Feynman data set
Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set
Guilherme Seidyo Imai Aldeia
Fabrício Olivetti de França
94
10
0
08 Apr 2024
Mining Potentially Explanatory Patterns via Partial Solutions
Mining Potentially Explanatory Patterns via Partial Solutions
GianCarlo Catalano
Alexander E. I. Brownlee
David Cairns
John Mccall
Russell Ainslie
32
0
0
05 Apr 2024
Influence based explainability of brain tumors segmentation in
  multimodal Magnetic Resonance Imaging
Influence based explainability of brain tumors segmentation in multimodal Magnetic Resonance Imaging
Tommaso Torda
Andrea Ciardiello
Simona Gargiulo
Greta Grillo
Simone Scardapane
Cecilia Voena
S. Giagu
101
0
0
05 Apr 2024
Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and
  Integration of Convolutional Neural Networks and Explainable AI
Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration of Convolutional Neural Networks and Explainable AI
Maryam Ahmed
Tooba Bibi
Rizwan Ahmed Khan
Sidra Nasir
118
2
0
05 Apr 2024
An Interpretable Client Decision Tree Aggregation process for Federated
  Learning
An Interpretable Client Decision Tree Aggregation process for Federated Learning
Alberto Argente-Garrido
Cristina Zuheros
M. V. Luzón
Francisco Herrera
FedML
77
4
0
03 Apr 2024
Explainability in JupyterLab and Beyond: Interactive XAI Systems for
  Integrated and Collaborative Workflows
Explainability in JupyterLab and Beyond: Interactive XAI Systems for Integrated and Collaborative Workflows
G. Guo
Dustin L. Arendt
Alex Endert
76
1
0
02 Apr 2024
Procedural Fairness in Machine Learning
Procedural Fairness in Machine Learning
Ziming Wang
Changwu Huang
Xin Yao
FaML
77
2
0
02 Apr 2024
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