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1910.10045
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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
S. Tabik
A. Barbado
S. García
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
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Papers citing
"Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI"
50 / 430 papers shown
Title
A Brief Overview of AI Governance for Responsible Machine Learning Systems
Navdeep Gill
Abhishek Mathur
Marcos V. Conde
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5
0
21 Nov 2022
Learn to explain yourself, when you can: Equipping Concept Bottleneck Models with the ability to abstain on their concept predictions
J. Lockhart
Daniele Magazzeni
Manuela Veloso
11
4
0
21 Nov 2022
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
A. Chaddad
Qizong Lu
Jiali Li
Y. Katib
R. Kateb
C. Tanougast
Ahmed Bouridane
Ahmed Abdulkadir
OOD
24
38
0
17 Nov 2022
Explaining Cross-Domain Recognition with Interpretable Deep Classifier
Yiheng Zhang
Ting Yao
Zhaofan Qiu
Tao Mei
OOD
22
3
0
15 Nov 2022
Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction
Peter E. D. Love
Weili Fang
J. Matthews
Stuart Porter
Hanbin Luo
L. Ding
XAI
29
7
0
12 Nov 2022
Explainable Artificial Intelligence in Construction: The Content, Context, Process, Outcome Evaluation Framework
Peter E. D. Love
J. Matthews
Weili Fang
Stuart Porter
Hanbin Luo
L. Ding
30
2
0
12 Nov 2022
REVEL Framework to measure Local Linear Explanations for black-box models: Deep Learning Image Classification case of study
Iván Sevillano-García
Julián Luengo-Martín
Francisco Herrera
XAI
FAtt
19
7
0
11 Nov 2022
What Makes a Good Explanation?: A Harmonized View of Properties of Explanations
Zixi Chen
Varshini Subhash
Marton Havasi
Weiwei Pan
Finale Doshi-Velez
XAI
FAtt
27
18
0
10 Nov 2022
Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability
I. Laña
Ignacio
I. Olabarrieta
Javier Del Ser
32
1
0
28 Oct 2022
Painting the black box white: experimental findings from applying XAI to an ECG reading setting
F. Cabitza
M. Cameli
Andrea Campagner
Chiara Natali
Luca Ronzio
19
9
0
27 Oct 2022
Bridging Machine Learning and Sciences: Opportunities and Challenges
Taoli Cheng
UQCV
OOD
AI4CE
14
2
0
24 Oct 2022
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space
Carlos Mougan
Klaus Broelemann
Gjergji Kasneci
T. Tiropanis
Steffen Staab
FAtt
25
7
0
22 Oct 2022
Machine Learning for a Sustainable Energy Future
Zhenpeng Yao
Yanwei Lum
Andrew K. Johnston
L. M. Mejia-Mendoza
Xiaoxia Zhou
Yonggang Wen
Alán Aspuru-Guzik
E. Sargent
Z. Seh
22
209
0
19 Oct 2022
Explanations Based on Item Response Theory (eXirt): A Model-Specific Method to Explain Tree-Ensemble Model in Trust Perspective
José de Sousa Ribeiro Filho
Lucas F. F. Cardoso
R. Silva
Vitor Cirilo Araujo Santos
Nikolas Carneiro
Ronnie Cley de Oliveira Alves
13
4
0
18 Oct 2022
Machine Learning in Transaction Monitoring: The Prospect of xAI
Julie Gerlings
Ioanna D. Constantiou
17
2
0
14 Oct 2022
Good AI for Good: How AI Strategies of the Nordic Countries Address the Sustainable Development Goals
Andreas Theodorou
J. Nieves
Virginia Dignum
13
1
0
08 Oct 2022
Quantitative Metrics for Evaluating Explanations of Video DeepFake Detectors
Federico Baldassarre
Quentin Debard
Gonzalo Fiz Pontiveros
Tri Kurniawan Wijaya
36
4
0
07 Oct 2022
Understanding Interventional TreeSHAP : How and Why it Works
Gabriel Laberge
Y. Pequignot
FAtt
19
6
0
29 Sep 2022
Learning When to Advise Human Decision Makers
Gali Noti
Yiling Chen
39
15
0
27 Sep 2022
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification
Adrien Bennetot
Gianni Franchi
Javier Del Ser
Raja Chatila
Natalia Díaz Rodríguez
AAML
25
29
0
26 Sep 2022
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making
Jakob Schoeffer
Maria De-Arteaga
Niklas Kuehl
FaML
36
45
0
23 Sep 2022
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models
Marouane Il Idrissi
Nicolas Bousquet
Fabrice Gamboa
Bertrand Iooss
Jean-Michel Loubes
32
2
0
23 Sep 2022
XClusters: Explainability-first Clustering
Hyunseung Hwang
Steven Euijong Whang
21
5
0
22 Sep 2022
An Overview of Violence Detection Techniques: Current Challenges and Future Directions
N. Mumtaz
N. Ejaz
Shabana Habib
Syed Muhammad Mohsin
Prayag Tiwari
Shahab S. Band
Neeraj Kumar
28
28
0
21 Sep 2022
Interpretable Selective Learning in Credit Risk
Dangxing Chen
Weicheng Ye
Jiahui Ye
FaML
22
14
0
21 Sep 2022
Survey on Fairness Notions and Related Tensions
Guilherme Alves
Fabien Bernier
Miguel Couceiro
K. Makhlouf
C. Palamidessi
Sami Zhioua
FaML
31
24
0
16 Sep 2022
Computing Abductive Explanations for Boosted Trees
Gilles Audemard
Jean-Marie Lagniez
Pierre Marquis
N. Szczepanski
24
12
0
16 Sep 2022
Explainable AI for clinical and remote health applications: a survey on tabular and time series data
Flavio Di Martino
Franca Delmastro
AI4TS
21
91
0
14 Sep 2022
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations
Jialin Yu
Alexandra I. Cristea
Anoushka Harit
Zhongtian Sun
O. Aduragba
Lei Shi
Noura Al Moubayed
15
10
0
02 Sep 2022
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research
Zhibo Zhang
H. A. Hamadi
Ernesto Damiani
C. Yeun
Fatma Taher
AAML
24
148
0
31 Aug 2022
Collective Intelligence in Human-AI Teams: A Bayesian Theory of Mind Approach
Samuel Westby
Christoph Riedl
LLMAG
16
23
0
24 Aug 2022
Explainable AI for tailored electricity consumption feedback -- an experimental evaluation of visualizations
Jacqueline Wastensteiner
T. Weiß
Felix Haag
K. Hopf
23
11
0
24 Aug 2022
Augmented cross-selling through explainable AI -- a case from energy retailing
Felix Haag
K. Hopf
Pedro Menelau Vasconcelos
Thorsten Staake
21
4
0
24 Aug 2022
Statistical Aspects of SHAP: Functional ANOVA for Model Interpretation
Andrew Herren
P. R. Hahn
FAtt
19
9
0
21 Aug 2022
Causality-Inspired Taxonomy for Explainable Artificial Intelligence
Pedro C. Neto
Tiago B. Gonccalves
João Ribeiro Pinto
W. Silva
Ana F. Sequeira
Arun Ross
Jaime S. Cardoso
XAI
26
12
0
19 Aug 2022
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members
Daphne Cornelisse
Thomas Rood
Mateusz Malinowski
Yoram Bachrach
Tal Kachman
33
10
0
18 Aug 2022
"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative Immersive Analytics
Michaela Benk
Raphael P. Weibel
Stefan Feuerriegel
Andrea Ferrario
21
3
0
09 Aug 2022
Planning and Scheduling in Digital Health with Answer Set Programming
Marco Mochi
14
0
0
05 Aug 2022
Adaptive occlusion sensitivity analysis for visually explaining video recognition networks
Tomoki Uchiyama
Naoya Sogi
S. Iizuka
Koichiro Niinuma
Kazuhiro Fukui
16
2
0
26 Jul 2022
Alterfactual Explanations -- The Relevance of Irrelevance for Explaining AI Systems
Silvan Mertes
Christina Karle
Tobias Huber
Katharina Weitz
Ruben Schlagowski
Elisabeth André
19
12
0
19 Jul 2022
Investigating the Impact of Independent Rule Fitnesses in a Learning Classifier System
Michael Heider
Helena Stegherr
Jonathan Wurth
Roman Sraj
J. Hähner
17
5
0
12 Jul 2022
Machine Learning Security in Industry: A Quantitative Survey
Kathrin Grosse
L. Bieringer
Tarek R. Besold
Battista Biggio
Katharina Krombholz
30
32
0
11 Jul 2022
Automating the Design and Development of Gradient Descent Trained Expert System Networks
Jeremy Straub
8
9
0
04 Jul 2022
RES: A Robust Framework for Guiding Visual Explanation
Yuyang Gao
Tong Sun
Guangji Bai
Siyi Gu
S. Hong
Liang Zhao
FAtt
AAML
XAI
21
32
0
27 Jun 2022
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability
L. Herm
Kai Heinrich
Jonas Wanner
Christian Janiesch
11
84
0
20 Jun 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability
Jonathan Crabbé
Alicia Curth
Ioana Bica
M. Schaar
CML
20
15
0
16 Jun 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview
Florian Karl
Tobias Pielok
Julia Moosbauer
Florian Pfisterer
Stefan Coors
...
Jakob Richter
Michel Lang
Eduardo C. Garrido-Merchán
Juergen Branke
B. Bischl
AI4CE
26
56
0
15 Jun 2022
Towards better Interpretable and Generalizable AD detection using Collective Artificial Intelligence
H. Nguyen
Michael Clement
Boris Mansencal
Pierrick Coupé
MedIm
31
6
0
07 Jun 2022
Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey
İbrahim Kök
Feyza Yıldırım Okay
Özgecan Muyanlı
S. Özdemir
XAI
12
51
0
07 Jun 2022
A Human-Centric Take on Model Monitoring
Murtuza N. Shergadwala
Himabindu Lakkaraju
K. Kenthapadi
37
9
0
06 Jun 2022
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