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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
Deep Learning and Artificial General Intelligence: Still a Long Way to
  Go
Deep Learning and Artificial General Intelligence: Still a Long Way to Go
M. Świechowski
ELMVLMAI4CE
33
2
0
25 Mar 2022
A Meta Survey of Quality Evaluation Criteria in Explanation Methods
A Meta Survey of Quality Evaluation Criteria in Explanation Methods
Helena Lofstrom
K. Hammar
Ulf Johansson
XAI
75
11
0
25 Mar 2022
Concept Embedding Analysis: A Review
Concept Embedding Analysis: A Review
Gesina Schwalbe
77
28
0
25 Mar 2022
Trust in AI and Its Role in the Acceptance of AI Technologies
Trust in AI and Its Role in the Acceptance of AI Technologies
Hyesun Choung
Prabu David
Arun Ross
67
314
0
23 Mar 2022
Trust and Reliance in XAI -- Distinguishing Between Attitudinal and
  Behavioral Measures
Trust and Reliance in XAI -- Distinguishing Between Attitudinal and Behavioral Measures
Nicolas Scharowski
S. Perrig
Nick von Felten
Florian Brühlmann
38
23
0
23 Mar 2022
Explainability in reinforcement learning: perspective and position
Explainability in reinforcement learning: perspective and position
Agneza Krajna
Mario Brčič
T. Lipić
Juraj Dončević
92
27
0
22 Mar 2022
Towards Explainable Evaluation Metrics for Natural Language Generation
Towards Explainable Evaluation Metrics for Natural Language Generation
Christoph Leiter
Piyawat Lertvittayakumjorn
M. Fomicheva
Wei Zhao
Yang Gao
Steffen Eger
AAMLELM
76
20
0
21 Mar 2022
Human-Centric Artificial Intelligence Architecture for Industry 5.0
  Applications
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications
Jovze M. Rovzanec
I. Novalija
Patrik Zajec
K. Kenda
Hooman Tavakoli
...
G. Sofianidis
Spyros Theodoropoulos
Blavz Fortuna
Dunja Mladenić
John Soldatos
3DVAI4CE
77
137
0
21 Mar 2022
Explainable Misinformation Detection Across Multiple Social Media
  Platforms
Explainable Misinformation Detection Across Multiple Social Media Platforms
Gargi Joshi
Ananya Srivastava
Bhargav D. Yagnik
Md Musleh Uddin Hasan
Zainuddin Saiyed
Lubna A Gabralla
Ajith Abraham
Rahee Walambe
K. Kotecha
83
17
0
20 Mar 2022
Attri-VAE: attribute-based interpretable representations of medical
  images with variational autoencoders
Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders
Irem Cetin
Maialen Stephens
Oscar Camara
M. A. G. Ballester
DRL
120
40
0
20 Mar 2022
Explainability in Graph Neural Networks: An Experimental Survey
Explainability in Graph Neural Networks: An Experimental Survey
Peibo Li
Yixing Yang
Maurice Pagnucco
Yang Song
66
31
0
17 Mar 2022
Beyond Explaining: Opportunities and Challenges of XAI-Based Model
  Improvement
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement
Leander Weber
Sebastian Lapuschkin
Alexander Binder
Wojciech Samek
109
103
0
15 Mar 2022
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series
Christoffer Loeffler
Wei-Cheng Lai
Bjoern M. Eskofier
Dario Zanca
Lukas M. Schmidt
Christopher Mutschler
AI4TSFAtt
78
6
0
14 Mar 2022
Interpretable machine learning in Physics
Interpretable machine learning in Physics
C. Grojean
A. Paul
Zhuoni Qian
Inga Strümke
AI4CEFAtt
60
26
0
11 Mar 2022
Trust in AI and Implications for the AEC Research: A Literature Analysis
Trust in AI and Implications for the AEC Research: A Literature Analysis
Newsha Emaminejad
Alexander North
Reza Akhavian
101
15
0
08 Mar 2022
Label-Free Explainability for Unsupervised Models
Label-Free Explainability for Unsupervised Models
Jonathan Crabbé
M. Schaar
FAttMILM
54
22
0
03 Mar 2022
ADVISE: ADaptive Feature Relevance and VISual Explanations for
  Convolutional Neural Networks
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks
Mohammad Mahdi Dehshibi
Mona Ashtari-Majlan
Gereziher W. Adhane
David Masip
AAMLFAtt
50
3
0
02 Mar 2022
Approximating a deep reinforcement learning docking agent using linear
  model trees
Approximating a deep reinforcement learning docking agent using linear model trees
Vilde B. Gjærum
Ella-Lovise H. Rørvik
A. Lekkas
48
6
0
01 Mar 2022
Explaining a Deep Reinforcement Learning Docking Agent Using Linear
  Model Trees with User Adapted Visualization
Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted Visualization
Vilde B. Gjærum
Inga Strümke
O. Alsos
A. Lekkas
FAtt
73
16
0
01 Mar 2022
Explainability for identification of vulnerable groups in machine learning models
Inga Strümke
Marija Slavkovik
FaML
63
3
0
01 Mar 2022
Explainable deepfake and spoofing detection: an attack analysis using
  SHapley Additive exPlanations
Explainable deepfake and spoofing detection: an attack analysis using SHapley Additive exPlanations
W. Ge
Massimiliano Todisco
Nicholas W. D. Evans
AAML
52
9
0
28 Feb 2022
Quality Monitoring and Assessment of Deployed Deep Learning Models for
  Network AIOps
Quality Monitoring and Assessment of Deployed Deep Learning Models for Network AIOps
Lixuan Yang
Dario Rossi
26
9
0
28 Feb 2022
The Impact of Explanations on Layperson Trust in Artificial
  Intelligence-Driven Symptom Checker Apps: Experimental Study
The Impact of Explanations on Layperson Trust in Artificial Intelligence-Driven Symptom Checker Apps: Experimental Study
Claire Woodcock
Brent Mittelstadt
Dan Busbridge
Grant Blank
64
27
0
27 Feb 2022
Statistics and Deep Learning-based Hybrid Model for Interpretable
  Anomaly Detection
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection
Thabang Mathonsi
Terence L van Zyl
65
0
0
25 Feb 2022
MUC-driven Feature Importance Measurement and Adversarial Analysis for
  Random Forest
MUC-driven Feature Importance Measurement and Adversarial Analysis for Random Forest
Shucen Ma
Jianqi Shi
Yanhong Huang
Shengchao Qin
Zhe Hou
AAML
59
4
0
25 Feb 2022
Fine-grained TLS services classification with reject option
Fine-grained TLS services classification with reject option
Jan Luxemburk
T. Čejka
65
34
0
24 Feb 2022
Training Characteristic Functions with Reinforcement Learning:
  XAI-methods play Connect Four
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four
S. Wäldchen
Felix Huber
Sebastian Pokutta
FAtt
61
8
0
23 Feb 2022
Explainability in Machine Learning: a Pedagogical Perspective
Explainability in Machine Learning: a Pedagogical Perspective
Andreas Bueff
I. Papantonis
Auste Simkute
Vaishak Belle
40
2
0
21 Feb 2022
OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer
  Learning for Telepresence Robotics
OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence Robotics
Fernando Amodeo
F. Caballero
N. Díaz-Rodríguez
L. Merino
LM&Ro
97
10
0
21 Feb 2022
Conflict-Based Search for Explainable Multi-Agent Path Finding
Conflict-Based Search for Explainable Multi-Agent Path Finding
Justin Kottinger
Shaull Almagor
Morteza Lahijanian
35
13
0
20 Feb 2022
Contextual Intelligent Decisions: Expert Moderation of Machine Outputs
  for Fair Assessment of Commercial Driving
Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving
J. M. Mase
Direnc Pekaslan
Utkarsh Agrawal
M. Mesgarpour
P. Chapman
Mercedes Torres Torres
Grazziela Figueredo
100
3
0
20 Feb 2022
Explaining, Evaluating and Enhancing Neural Networks' Learned
  Representations
Explaining, Evaluating and Enhancing Neural Networks' Learned Representations
Marco Bertolini
Djork-Arné Clevert
F. Montanari
FAtt
49
5
0
18 Feb 2022
Can Interpretable Reinforcement Learning Manage Prosperity Your Way?
Can Interpretable Reinforcement Learning Manage Prosperity Your Way?
Charl Maree
C. Omlin
AIFin
74
6
0
18 Feb 2022
Guidelines and Evaluation of Clinical Explainable AI in Medical Image
  Analysis
Guidelines and Evaluation of Clinical Explainable AI in Medical Image Analysis
Weina Jin
Xiaoxiao Li
M. Fatehi
Ghassan Hamarneh
ELMXAI
76
95
0
16 Feb 2022
XAI in the context of Predictive Process Monitoring: Too much to Reveal
XAI in the context of Predictive Process Monitoring: Too much to Reveal
Ghada Elkhawaga
Mervat Abuelkheir
M. Reichert
45
1
0
16 Feb 2022
Explainability of Predictive Process Monitoring Results: Can You See My
  Data Issues?
Explainability of Predictive Process Monitoring Results: Can You See My Data Issues?
Ghada Elkhawaga
Mervat Abuelkheir
M. Reichert
76
14
0
16 Feb 2022
Interpretable pipelines with evolutionarily optimized modules for RL
  tasks with visual inputs
Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs
Leonardo Lucio Custode
Giovanni Iacca
68
14
0
10 Feb 2022
Computing Rule-Based Explanations of Machine Learning Classifiers using
  Knowledge Graphs
Computing Rule-Based Explanations of Machine Learning Classifiers using Knowledge Graphs
Edmund Dervakos
Orfeas Menis Mastromichalakis
A. Chortaras
Giorgos Stamou
FAtt
125
6
0
08 Feb 2022
Introducing explainable supervised machine learning into interactive
  feedback loops for statistical production system
Introducing explainable supervised machine learning into interactive feedback loops for statistical production system
Carlos Mougan
G. Kanellos
Johannes Micheler
Jose Martinez
Thomas Gottron
58
1
0
07 Feb 2022
Stratification of carotid atheromatous plaque using interpretable deep
  learning methods on B-mode ultrasound images
Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images
Theofanis Ganitidis
M. Athanasiou
K. Dalakleidi
Nikos Melanitis
S. Golemati
K. Nikita
10
3
0
04 Feb 2022
Separating Rule Discovery and Global Solution Composition in a Learning
  Classifier System
Separating Rule Discovery and Global Solution Composition in a Learning Classifier System
Michael Heider
Helena Stegherr
Jonathan Wurth
Roman Sraj
J. Hähner
22
10
0
03 Feb 2022
An ASP approach for reasoning on neural networks under a finitely
  many-valued semantics for weighted conditional knowledge bases
An ASP approach for reasoning on neural networks under a finitely many-valued semantics for weighted conditional knowledge bases
Laura Giordano
Daniele Theseider Dupré
69
21
0
02 Feb 2022
Thermal and Visual Tracking of Photovoltaic Plants for Autonomous UAV
  inspection
Thermal and Visual Tracking of Photovoltaic Plants for Autonomous UAV inspection
Luca Morando
Carmine Tommaso Recchiuto
Jacopo Calla
Paolo Scuteri
A. Sgorbissa
125
32
0
02 Feb 2022
Explainable AI through the Learning of Arguments
Explainable AI through the Learning of Arguments
Jonas Bei
David Pomerenke
Lukas Schreiner
Sepideh Sharbaf
Pieter Collins
N. Roos
30
0
0
01 Feb 2022
From Explanations to Segmentation: Using Explainable AI for Image
  Segmentation
From Explanations to Segmentation: Using Explainable AI for Image Segmentation
Clemens Seibold
Johannes Kunzel
Anna Hilsmann
Peter Eisert
SSeg
78
8
0
01 Feb 2022
Classification of White Blood Cell Leukemia with Low Number of
  Interpretable and Explainable Features
Classification of White Blood Cell Leukemia with Low Number of Interpretable and Explainable Features
W. Lamberti
VLM
22
3
0
28 Jan 2022
Explainability in Music Recommender Systems
Explainability in Music Recommender Systems
Darius Afchar
Alessandro B. Melchiorre
Markus Schedl
Romain Hennequin
Elena V. Epure
Manuel Moussallam
103
50
0
25 Jan 2022
Image features of a splashing drop on a solid surface extracted using a
  feedforward neural network
Image features of a splashing drop on a solid surface extracted using a feedforward neural network
Jingzu Yee
A. Yamanaka
Yoshiyuki Tagawa(田川義之)
62
14
0
24 Jan 2022
Reinforcement Learning Your Way: Agent Characterization through Policy
  Regularization
Reinforcement Learning Your Way: Agent Characterization through Policy Regularization
Charl Maree
C. Omlin
54
8
0
21 Jan 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic
  Review on Evaluating Explainable AI
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
Meike Nauta
Jan Trienes
Shreyasi Pathak
Elisa Nguyen
Michelle Peters
Yasmin Schmitt
Jorg Schlotterer
M. V. Keulen
C. Seifert
ELMXAI
178
423
0
20 Jan 2022
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