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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
Testing System Intelligence
Testing System Intelligence
J. Sifakis
29
3
0
19 May 2023
Personalizing Content Moderation on Social Media: User Perspectives on
  Moderation Choices, Interface Design, and Labor
Personalizing Content Moderation on Social Media: User Perspectives on Moderation Choices, Interface Design, and Labor
Shagun Jhaver
Alice Qian Zhang
Quan Ze Chen
N. Natarajan
Ruotong Wang
Amy X. Zhang
71
70
0
17 May 2023
FICNN: A Framework for the Interpretation of Deep Convolutional Neural
  Networks
FICNN: A Framework for the Interpretation of Deep Convolutional Neural Networks
Hamed Behzadi-Khormouji
José Oramas
45
0
0
17 May 2023
XAI for Self-supervised Clustering of Wireless Spectrum Activity
XAI for Self-supervised Clustering of Wireless Spectrum Activity
Ljupcho Milosheski
Gregor Cerar
Blaž Bertalanič
Carolina Fortuna
M. Mohorčič
SSL
93
3
0
17 May 2023
The Ethics of AI in Games
The Ethics of AI in Games
Dávid Melhárt
Julian Togelius
Benedikte Mikkelsen
Christoffer Holmgård
Georgios N. Yannakakis
48
25
0
12 May 2023
Why Don't You Do Something About It? Outlining Connections between AI
  Explanations and User Actions
Why Don't You Do Something About It? Outlining Connections between AI Explanations and User Actions
Gennie Mansi
Mark O. Riedl
65
6
0
10 May 2023
Explainable Knowledge Distillation for On-device Chest X-Ray
  Classification
Explainable Knowledge Distillation for On-device Chest X-Ray Classification
C. Termritthikun
Ayaz Umer
Suwichaya Suwanwimolkul
Xiwei Xu
Ivan Lee
80
14
0
10 May 2023
When a CBR in Hand is Better than Twins in the Bush
When a CBR in Hand is Better than Twins in the Bush
Mobyen Uddin Ahmed
Shaibal Barua
Shahina Begum
Mir Riyanul Islam
Rosina O. Weber
63
1
0
09 May 2023
Opening the TAR Black Box: Developing an Interpretable System for
  eDiscovery Using the Fuzzy ARTMAP Neural Network
Opening the TAR Black Box: Developing an Interpretable System for eDiscovery Using the Fuzzy ARTMAP Neural Network
C. Courchaine
Ricky J. Sethi
31
0
0
07 May 2023
Explaining the ghosts: Feminist intersectional XAI and cartography as
  methods to account for invisible labour
Explaining the ghosts: Feminist intersectional XAI and cartography as methods to account for invisible labour
Goda Klumbytė
Hannah Piehl
Claude Draude
29
2
0
05 May 2023
Metric Tools for Sensitivity Analysis with Applications to Neural
  Networks
Metric Tools for Sensitivity Analysis with Applications to Neural Networks
Jaime Pizarroso
David Alfaya
José M. Portela
A. Roque
46
4
0
03 May 2023
Calibrated Explanations: with Uncertainty Information and
  Counterfactuals
Calibrated Explanations: with Uncertainty Information and Counterfactuals
Helena Lofstrom
Tuwe Lofstrom
Gregory Rice
Cecilia Sonstrod
116
10
0
03 May 2023
Asymmetric quantum decision-making
Asymmetric quantum decision-making
Honoka Shiratori
Hiroaki Shinkawa
André Röhm
N. Chauvet
E. Segawa
Jonathan Laurent
G. Bachelier
T. Yamagami
R. Horisaki
Makoto Naruse
46
1
0
03 May 2023
fairml: A Statistician's Take on Fair Machine Learning Modelling
fairml: A Statistician's Take on Fair Machine Learning Modelling
M. Scutari
FaML
86
5
0
03 May 2023
Connecting the Dots in Trustworthy Artificial Intelligence: From AI
  Principles, Ethics, and Key Requirements to Responsible AI Systems and
  Regulation
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation
Natalia Díaz Rodríguez
Javier Del Ser
Mark Coeckelbergh
Marcos López de Prado
E. Herrera-Viedma
Francisco Herrera
XAI
104
303
0
02 May 2023
Revealing Similar Semantics Inside CNNs: An Interpretable Concept-based
  Comparison of Feature Spaces
Revealing Similar Semantics Inside CNNs: An Interpretable Concept-based Comparison of Feature Spaces
Georgii Mikriukov
Gesina Schwalbe
Christian Hellert
Korinna Bade
60
2
0
30 Apr 2023
Understanding accountability in algorithmic supply chains
Understanding accountability in algorithmic supply chains
Jennifer Cobbe
Michael Veale
Jatinder Singh
104
72
0
28 Apr 2023
PhagoStat a scalable and interpretable end to end framework for
  efficient quantification of cell phagocytosis in neurodegenerative disease
  studies
PhagoStat a scalable and interpretable end to end framework for efficient quantification of cell phagocytosis in neurodegenerative disease studies
Mehdi Ounissi
Morwena Latouche
Daniel Racoceanu
66
2
0
26 Apr 2023
A Closer Look at Reward Decomposition for High-Level Robotic
  Explanations
A Closer Look at Reward Decomposition for High-Level Robotic Explanations
Wenhao Lu
Xufeng Zhao
S. Magg
M. Gromniak
Mengdi Li
S. Wermter
96
7
0
25 Apr 2023
Disagreement amongst counterfactual explanations: How transparency can
  be deceptive
Disagreement amongst counterfactual explanations: How transparency can be deceptive
Dieter Brughmans
Lissa Melis
David Martens
56
3
0
25 Apr 2023
TIGTEC : Token Importance Guided TExt Counterfactuals
TIGTEC : Token Importance Guided TExt Counterfactuals
Milan Bhan
Jean-Noel Vittaut
Nicolas Chesneau
Marie-Jeanne Lesot
94
9
0
24 Apr 2023
Towards a Praxis for Intercultural Ethics in Explainable AI
Towards a Praxis for Intercultural Ethics in Explainable AI
Chinasa T. Okolo
62
3
0
24 Apr 2023
SketchXAI: A First Look at Explainability for Human Sketches
SketchXAI: A First Look at Explainability for Human Sketches
Zhiyu Qu
Yulia Gryaditskaya
Ke Li
Kaiyue Pang
Tao Xiang
Yi-Zhe Song
89
8
0
23 Apr 2023
Explainability in AI Policies: A Critical Review of Communications,
  Reports, Regulations, and Standards in the EU, US, and UK
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK
L. Nannini
Agathe Balayn
A. Smith
60
41
0
20 Apr 2023
Learning Bottleneck Concepts in Image Classification
Learning Bottleneck Concepts in Image Classification
Bowen Wang
Liangzhi Li
Yuta Nakashima
Hajime Nagahara
SSL
108
46
0
20 Apr 2023
LLM-based Interaction for Content Generation: A Case Study on the
  Perception of Employees in an IT department
LLM-based Interaction for Content Generation: A Case Study on the Perception of Employees in an IT department
Alexandre Agossah
Frédérique Krupa
Matthieu Perreira da Silva
P. Le Callet
35
15
0
18 Apr 2023
Impact Of Explainable AI On Cognitive Load: Insights From An Empirical
  Study
Impact Of Explainable AI On Cognitive Load: Insights From An Empirical Study
L. Herm
73
22
0
18 Apr 2023
TreeC: a method to generate interpretable energy management systems
  using a metaheuristic algorithm
TreeC: a method to generate interpretable energy management systems using a metaheuristic algorithm
Julian Ruddick
L. R. Camargo
M. A. Putratama
M. Messagie
Thierry Coosemans
37
2
0
17 Apr 2023
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics
  Aspects
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects
Conrad Sanderson
David M. Douglas
Qinghua Lu
98
13
0
17 Apr 2023
Explanations of Black-Box Models based on Directional Feature
  Interactions
Explanations of Black-Box Models based on Directional Feature Interactions
A. Masoomi
Davin Hill
Zhonghui Xu
C. Hersh
E. Silverman
P. Castaldi
Stratis Ioannidis
Jennifer Dy
FAtt
90
20
0
16 Apr 2023
What if we have Meta GPT? From Content Singularity to Human-Metaverse
  Interaction in AIGC Era
What if we have Meta GPT? From Content Singularity to Human-Metaverse Interaction in AIGC Era
Lik-Hang Lee
Pengyuan Zhou
Chaoning Zhang
S. Hosio
73
3
0
15 Apr 2023
Investigation of ensemble methods for the detection of deepfake face
  manipulations
Investigation of ensemble methods for the detection of deepfake face manipulations
Nikolaos Giatsoglou
Symeon Papadopoulos
Y. Kompatsiaris
CVBM
80
2
0
14 Apr 2023
Evaluating the Robustness of Interpretability Methods through
  Explanation Invariance and Equivariance
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance
Jonathan Crabbé
M. Schaar
AAML
54
7
0
13 Apr 2023
Quantifying and Explaining Machine Learning Uncertainty in Predictive
  Process Monitoring: An Operations Research Perspective
Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research Perspective
Nijat Mehdiyev
Maxim Majlatow
Peter Fettke
89
14
0
13 Apr 2023
Enhancing Model Learning and Interpretation Using Multiple Molecular
  Graph Representations for Compound Property and Activity Prediction
Enhancing Model Learning and Interpretation Using Multiple Molecular Graph Representations for Compound Property and Activity Prediction
Apakorn Kengkanna
Masahito Ohue
AI4CE
60
4
0
13 Apr 2023
Textual Explanations for Automated Commentary Driving
Textual Explanations for Automated Commentary Driving
Marc Alexander Kühn
Daniel Omeiza
Lars Kunze
57
8
0
12 Apr 2023
Communicating Uncertainty in Machine Learning Explanations: A
  Visualization Analytics Approach for Predictive Process Monitoring
Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring
Nijat Mehdiyev
Maxim Majlatow
Peter Fettke
52
2
0
12 Apr 2023
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
Lorenz Linhardt
Klaus-Robert Muller
G. Montavon
AAML
109
8
0
12 Apr 2023
CGXplain: Rule-Based Deep Neural Network Explanations Using Dual Linear
  Programs
CGXplain: Rule-Based Deep Neural Network Explanations Using Dual Linear Programs
Konstantin Hemker
Z. Shams
M. Jamnik
97
2
0
11 Apr 2023
Efficient Automation of Neural Network Design: A Survey on
  Differentiable Neural Architecture Search
Efficient Automation of Neural Network Design: A Survey on Differentiable Neural Architecture Search
Alexandre Heuillet
A. Nasser
Hichem Arioui
Hedi Tabia
AI4CE
118
15
0
11 Apr 2023
Optimal Interpretability-Performance Trade-off of Classification Trees
  with Black-Box Reinforcement Learning
Optimal Interpretability-Performance Trade-off of Classification Trees with Black-Box Reinforcement Learning
Hector Kohler
R. Akrour
Philippe Preux
OffRL
53
0
0
11 Apr 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why,
  How, and When?
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?
M. Rubaiyat
Hossain Mondal
Prajoy Podder
91
65
0
10 Apr 2023
Tracing and Visualizing Human-ML/AI Collaborative Processes through
  Artifacts of Data Work
Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work
Jennifer Rogers
Anamaria Crisan
84
7
0
05 Apr 2023
Blaming Humans and Machines: What Shapes People's Reactions to
  Algorithmic Harm
Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm
Gabriel Lima
Nina Grgić-Hlavca
M. Cha
57
26
0
05 Apr 2023
A Brief Review of Explainable Artificial Intelligence in Healthcare
A Brief Review of Explainable Artificial Intelligence in Healthcare
Zahra Sadeghi
R. Alizadehsani
M. Cifci
Samina Kausar
Rizwan Rehman
...
A. Shoeibi
H. Moosaei
Milan Hladík
Saeid Nahavandi
P. Pardalos
31
14
0
04 Apr 2023
Counterfactual Learning on Graphs: A Survey
Counterfactual Learning on Graphs: A Survey
Zhimeng Guo
Teng Xiao
Zongyu Wu
Charu C. Aggarwal
Hui Liu
Suhang Wang
CMLAI4CE
129
19
0
03 Apr 2023
Why is plausibility surprisingly problematic as an XAI criterion?
Why is plausibility surprisingly problematic as an XAI criterion?
Weina Jin
Xiaoxiao Li
Ghassan Hamarneh
112
6
0
30 Mar 2023
XAIR: A Framework of Explainable AI in Augmented Reality
XAIR: A Framework of Explainable AI in Augmented Reality
Xuhai Xu
Anna Yu
Tanya R. Jonker
Kashyap Todi
Feiyu Lu
...
Narine Kokhlikyan
Fulton Wang
P. Sorenson
Sophie Kahyun Kim
Hrvoje Benko
89
55
0
28 Mar 2023
From Private to Public: Benchmarking GANs in the Context of Private Time
  Series Classification
From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification
Dominique Mercier
Andreas Dengel
Sheraz Ahmed
AI4TS
43
1
0
28 Mar 2023
mHealth hyperspectral learning for instantaneous spatiospectral imaging
  of hemodynamics
mHealth hyperspectral learning for instantaneous spatiospectral imaging of hemodynamics
Yuhyun Ji
Sang Mok Park
Semin Kwon
J. W. Leem
V. V. Nair
Y. Tong
Young L. Kim
60
16
0
27 Mar 2023
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