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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

Information Fusion (Inf. Fusion), 2019
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 / 1,486 papers shown
The Conflict Between Explainable and Accountable Decision-Making
  Algorithms
The Conflict Between Explainable and Accountable Decision-Making AlgorithmsConference on Fairness, Accountability and Transparency (FAccT), 2022
Gabriel Lima
Nina Grgić-Hlavca
Jin Keun Jeong
M. Cha
130
46
0
11 May 2022
Explainable Computational Creativity
Explainable Computational CreativityInternational Conference on Innovative Computing and Cloud Computing (ICCC), 2022
Maria Teresa Llano
M. dÍnverno
M. Yee-King
Jon McCormack
Alon Ilsar
A. Pease
S. Colton
153
43
0
11 May 2022
Sensible AI: Re-imagining Interpretability and Explainability using
  Sensemaking Theory
Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking TheoryConference on Fairness, Accountability and Transparency (FAccT), 2022
Harmanpreet Kaur
Eytan Adar
Eric Gilbert
Cliff Lampe
127
69
0
10 May 2022
Towards a multi-stakeholder value-based assessment framework for
  algorithmic systems
Towards a multi-stakeholder value-based assessment framework for algorithmic systemsConference on Fairness, Accountability and Transparency (FAccT), 2022
Mireia Yurrita
Dave Murray-Rust
Agathe Balayn
A. Bozzon
MLAU
287
36
0
09 May 2022
ISA-bEL: Intelligent Search Algorithm based on Entity Linking
ISA-bEL: Intelligent Search Algorithm based on Entity Linking
Rubén González Sendino
Mónica Ortega
Carlos Carrasco
84
1
0
09 May 2022
Let's Go to the Alien Zoo: Introducing an Experimental Framework to
  Study Usability of Counterfactual Explanations for Machine Learning
Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine Learning
Ulrike Kuhl
André Artelt
Barbara Hammer
216
22
0
06 May 2022
Tell Me Something That Will Help Me Trust You: A Survey of Trust
  Calibration in Human-Agent Interaction
Tell Me Something That Will Help Me Trust You: A Survey of Trust Calibration in Human-Agent Interaction
G. Cancro
Shimei Pan
James R. Foulds
128
2
0
06 May 2022
Interactive Model Cards: A Human-Centered Approach to Model
  Documentation
Interactive Model Cards: A Human-Centered Approach to Model DocumentationConference on Fairness, Accountability and Transparency (FAccT), 2022
Anamaria Crisan
Margaret Drouhard
Jesse Vig
Nazneen Rajani
HAI
239
113
0
05 May 2022
RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced
  Labour
RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced LabourInternational Conference on Language Resources and Evaluation (LREC), 2022
Erick Mendez Guzman
Viktor Schlegel
Riza Batista-Navarro
94
11
0
05 May 2022
METGEN: A Module-Based Entailment Tree Generation Framework for Answer
  Explanation
METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation
Ruixin Hong
Hongming Zhang
Xintong Yu
Changshui Zhang
ReLMLRM
217
38
0
05 May 2022
TRUST XAI: Model-Agnostic Explanations for AI With a Case Study on IIoT
  Security
TRUST XAI: Model-Agnostic Explanations for AI With a Case Study on IIoT SecurityIEEE Internet of Things Journal (IEEE IoT J.), 2022
Maede Zolanvari
Zebo Yang
K. Khan
Rajkumar Jain
N. Meskin
133
109
0
02 May 2022
Explainable Artificial Intelligence for Bayesian Neural Networks:
  Towards trustworthy predictions of ocean dynamics
Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamicsJournal of Advances in Modeling Earth Systems (JAMES), 2022
Mariana C. A. Clare
Maike Sonnewald
Redouane Lguensat
Julie Deshayes
Venkatramani Balaji
BDL
499
41
0
30 Apr 2022
Trust in Human-AI Interaction: Scoping Out Models, Measures, and Methods
Trust in Human-AI Interaction: Scoping Out Models, Measures, and Methods
Takane Ueno
Yuto Sawa
Yeongdae Kim
Jacqueline Urakami
Hiroki Oura
Katie Seaborn
170
70
0
30 Apr 2022
Explainable AI via Learning to Optimize
Explainable AI via Learning to OptimizeScientific Reports (Sci Rep), 2022
Howard Heaton
Samy Wu Fung
276
21
0
29 Apr 2022
An Explainable Regression Framework for Predicting Remaining Useful Life
  of Machines
An Explainable Regression Framework for Predicting Remaining Useful Life of MachinesInternational Conference on Automation and Computing (ICAC), 2022
Talhat Khan
Kashif Ahmad
Jebran Khan
Imran Khan
Nasir Ahmad
204
19
0
28 Apr 2022
The Value of Measuring Trust in AI - A Socio-Technical System
  Perspective
The Value of Measuring Trust in AI - A Socio-Technical System Perspective
Michaela Benk
Suzanne Tolmeijer
F. Wangenheim
Andrea Ferrario
103
17
0
28 Apr 2022
On the Relationship Between Explanations, Fairness Perceptions, and
  Decisions
On the Relationship Between Explanations, Fairness Perceptions, and Decisions
Jakob Schoeffer
Maria De-Arteaga
Niklas Kuehl
FaML
232
7
0
27 Apr 2022
Landing AI on Networks: An equipment vendor viewpoint on Autonomous
  Driving Networks
Landing AI on Networks: An equipment vendor viewpoint on Autonomous Driving NetworksIEEE Transactions on Network and Service Management (IEEE TNSM), 2022
Dario Rossi
Liang Zhang
147
17
0
26 Apr 2022
Visual Acuity Prediction on Real-Life Patient Data Using a Machine
  Learning Based Multistage System
Visual Acuity Prediction on Real-Life Patient Data Using a Machine Learning Based Multistage SystemScientific Reports (Sci Rep), 2022
Tobias Schlosser
Frederik Beuth
Trixy Meyer
Arun Kumar
Gabriel Stolze
Olga Furashova
K. Engelmann
Danny Kowerko
170
6
0
25 Apr 2022
It Takes Two Flints to Make a Fire: Multitask Learning of Neural
  Relation and Explanation Classifiers
It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation ClassifiersInternational Conference on Computational Logic (ICCL), 2022
Zheng Tang
Mihai Surdeanu
455
9
0
25 Apr 2022
Revealing interactions between HVDC cross-area flows and frequency
  stability with explainable AI
Revealing interactions between HVDC cross-area flows and frequency stability with explainable AI
Sebastian Pütz
B. Schäfer
D. Witthaut
Johannes Kruse
58
7
0
22 Apr 2022
Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability
Sparsely-gated Mixture-of-Expert Layers for CNN InterpretabilityIEEE International Joint Conference on Neural Network (IJCNN), 2022
Svetlana Pavlitska
Christian Hubschneider
Lukas Struppek
J. Marius Zöllner
MoE
166
16
0
22 Apr 2022
The Risks of Machine Learning Systems
The Risks of Machine Learning Systems
Samson Tan
Araz Taeihagh
K. Baxter
139
8
0
21 Apr 2022
Reinforcement Learning with Intrinsic Affinity for Personalized
  Prosperity Management
Reinforcement Learning with Intrinsic Affinity for Personalized Prosperity ManagementDigital Finance (DF), 2022
Charl Maree
C. Omlin
254
1
0
20 Apr 2022
Five Ps: Leverage Zones Towards Responsible AI
Five Ps: Leverage Zones Towards Responsible AI
E. Nabavi
Chris Browne
150
3
0
20 Apr 2022
GAM(e) changer or not? An evaluation of interpretable machine learning
  models based on additive model constraints
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraintsEuropean Conference on Information Systems (ECIS), 2022
Patrick Zschech
Sven Weinzierl
Nico Hambauer
Sandra Zilker
Mathias Kraus
233
16
0
19 Apr 2022
A Survey and Perspective on Artificial Intelligence for Security-Aware
  Electronic Design Automation
A Survey and Perspective on Artificial Intelligence for Security-Aware Electronic Design Automation
D. Koblah
R. Acharya
Daniel Capecci
Olivia P. Dizon-Paradis
Shahin Tajik
F. Ganji
D. Woodard
Domenic Forte
244
24
0
19 Apr 2022
AI for human assessment: What do professional assessors need?
AI for human assessment: What do professional assessors need?
Riku Arakawa
Hiromu Yakura
CVBM
198
9
0
18 Apr 2022
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a
  Pedestrian Automatic Emergency Brake System
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake SystemSoftware quality journal (SQJ), 2022
Markus Borg
Jens Henriksson
Kasper Socha
Olof Lennartsson
Elias Sonnsjo Lonegren
T. Bui
Piotr Tomaszewski
S. Sathyamoorthy
Sebastian Brink
M. H. Moghadam
250
31
0
16 Apr 2022
DT2CAM: A Decision Tree to Content Addressable Memory Framework
DT2CAM: A Decision Tree to Content Addressable Memory FrameworkIEEE Transactions on Emerging Topics in Computing (IEEE TETC), 2022
M. Rakka
M. Fouda
R. Kanj
Fadi J. Kurdahi
75
1
0
12 Apr 2022
Enriching Artificial Intelligence Explanations with Knowledge Fragments
Enriching Artificial Intelligence Explanations with Knowledge FragmentsFuture Internet (FI), 2022
Jože M. Rožanec
Elena Trajkova
I. Novalija
Patrik Zajec
K. Kenda
B. Fortuna
Dunja Mladenić
172
10
0
12 Apr 2022
From Modern CNNs to Vision Transformers: Assessing the Performance,
  Robustness, and Classification Strategies of Deep Learning Models in
  Histopathology
From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology
Maximilian Springenberg
A. Frommholz
M. Wenzel
Eva Weicken
Jackie Ma
Nils Strodthoff
MedIm
192
64
0
11 Apr 2022
Machine Learning and Deep Learning -- A review for Ecologists
Machine Learning and Deep Learning -- A review for EcologistsMethods in Ecology and Evolution (Methods Ecol. Evol.), 2022
Maximilian Pichler
F. Hartig
378
236
0
11 Apr 2022
Explain yourself! Effects of Explanations in Human-Robot Interaction
Explain yourself! Effects of Explanations in Human-Robot InteractionIEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2022
Jakob Ambsdorf
A. Munir
Yiyao Wei
Klaas Degkwitz
Harm Matthias Harms
...
Kyra Ahrens
Dennis Becker
Erik Strahl
Tom Weber
S. Wermter
183
11
0
09 Apr 2022
Interpretable AI for policy-making in pandemics
Interpretable AI for policy-making in pandemics
Leonardo Lucio Custode
Giovanni Iacca
193
11
0
08 Apr 2022
Towards Reliable and Explainable AI Model for Solid Pulmonary Nodule
  Diagnosis
Towards Reliable and Explainable AI Model for Solid Pulmonary Nodule Diagnosis
Chenglong Wang
Yao Xiao
Feng-Liang Wang
Chengxiu Zhang
Yida Wang
Mei Yuan
Guangze Yang
156
6
0
08 Apr 2022
Multi-objective optimization determines when, which and how to fuse deep
  networks: an application to predict COVID-19 outcomes
Multi-objective optimization determines when, which and how to fuse deep networks: an application to predict COVID-19 outcomesComputers in Biology and Medicine (Comput Biol Med), 2022
V. Guarrasi
Paolo Soda
131
30
0
07 Apr 2022
CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations
CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations
Leonard Salewski
A. Sophia Koepke
Hendrik P. A. Lensch
Zeynep Akata
LRMNAI
263
25
0
05 Apr 2022
Towards Explainable Meta-Learning for DDoS Detection
Towards Explainable Meta-Learning for DDoS DetectionSN Computer Science (SN Comput. Sci.), 2022
Qianru Zhou
Rong Li
Lei Xu
A. Nallanathan
Jian Yang
Anmin Fu
AAML
276
6
0
05 Apr 2022
A Set Membership Approach to Discovering Feature Relevance and
  Explaining Neural Classifier Decisions
A Set Membership Approach to Discovering Feature Relevance and Explaining Neural Classifier Decisions
S. P. Adam
A. Likas
130
0
0
05 Apr 2022
Less is More: A Call to Focus on Simpler Models in Genetic Programming
  for Interpretable Machine Learning
Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning
M. Virgolin
Eric Medvet
Tanja Alderliesten
Peter A. N. Bosman
165
6
0
05 Apr 2022
Scientometric Review of Artificial Intelligence for Operations &
  Maintenance of Wind Turbines: The Past, Present and Future
Scientometric Review of Artificial Intelligence for Operations & Maintenance of Wind Turbines: The Past, Present and FutureRenewable & Sustainable Energy Reviews (RSER), 2021
Joyjit Chatterjee
Nina Dethlefs
168
107
0
30 Mar 2022
Artificial Intelligence: Framework of driving triggers to past, present
  and future applications and influencers of industry sector adoption
Artificial Intelligence: Framework of driving triggers to past, present and future applications and influencers of industry sector adoptionEmbedded Systems and Applications (ESA), 2022
Richard Fulton
Diane Fulton
Susan Kaplan
46
5
0
30 Mar 2022
Towards Interpretable Deep Reinforcement Learning Models via Inverse
  Reinforcement Learning
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement LearningInternational Conference on Pattern Recognition (ICPR), 2022
Yuansheng Xie
Soroush Vosoughi
Saeed Hassanpour
252
3
0
30 Mar 2022
Explainability in Process Outcome Prediction: Guidelines to Obtain
  Interpretable and Faithful Models
Explainability in Process Outcome Prediction: Guidelines to Obtain Interpretable and Faithful ModelsEuropean Journal of Operational Research (EJOR), 2022
Alexander Stevens
Johannes De Smedt
XAIFaML
574
24
0
30 Mar 2022
Learning Self-Modulating Attention in Continuous Time Space with
  Applications to Sequential Recommendation
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential RecommendationInternational Conference on Machine Learning (ICML), 2022
Chao Chen
Haoyu Geng
Nianzu Yang
Junchi Yan
Daiyue Xue
Jianping Yu
Xiaokang Yang
HAIAI4TS
137
12
0
30 Mar 2022
Decomposed Temporal Dynamic CNN: Efficient Time-Adaptive Network for
  Text-Independent Speaker Verification Explained with Speaker Activation Map
Decomposed Temporal Dynamic CNN: Efficient Time-Adaptive Network for Text-Independent Speaker Verification Explained with Speaker Activation Map
Seong-Hu Kim
Hyeonuk Nam
Yong-Hwa Park
175
10
0
29 Mar 2022
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
78
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
147
21
0
25 Mar 2022
Concept Embedding Analysis: A Review
Concept Embedding Analysis: A Review
Gesina Schwalbe
212
31
0
25 Mar 2022
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