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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
"There Is Not Enough Information": On the Effects of Explanations on
  Perceptions of Informational Fairness and Trustworthiness in Automated
  Decision-Making
"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making
Jakob Schoeffer
Niklas Kuehl
Yvette Machowski
FaML
72
59
0
11 May 2022
Tiny Robot Learning: Challenges and Directions for Machine Learning in
  Resource-Constrained Robots
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots
Sabrina M. Neuman
Brian Plancher
Bardienus P. Duisterhof
Srivatsan Krishnan
Colby R. Banbury
...
Shvetank Prakash
Jason J. Jabbour
Aleksandra Faust
Guido de Croon
Vijay Janapa Reddi
91
39
0
11 May 2022
Exploring Local Explanations of Nonlinear Models Using Animated Linear
  Projections
Exploring Local Explanations of Nonlinear Models Using Animated Linear Projections
N. Spyrison
Dianne Cook
Przemyslaw Biecek
FAtt
40
1
0
11 May 2022
The Conflict Between Explainable and Accountable Decision-Making
  Algorithms
The Conflict Between Explainable and Accountable Decision-Making Algorithms
Gabriel Lima
Nina Grgić-Hlavca
Jin Keun Jeong
M. Cha
53
40
0
11 May 2022
Explainable Computational Creativity
Explainable Computational Creativity
Maria Teresa Llano
M. dÍnverno
M. Yee-King
Jon McCormack
Alon Ilsar
A. Pease
S. Colton
54
39
0
11 May 2022
Sensible AI: Re-imagining Interpretability and Explainability using
  Sensemaking Theory
Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory
Harmanpreet Kaur
Eytan Adar
Eric Gilbert
Cliff Lampe
63
63
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 systems
Mireia Yurrita
Dave Murray-Rust
Agathe Balayn
A. Bozzon
MLAU
91
32
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
37
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
90
20
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
52
2
0
06 May 2022
Interactive Model Cards: A Human-Centered Approach to Model
  Documentation
Interactive Model Cards: A Human-Centered Approach to Model Documentation
Anamaria Crisan
Margaret Drouhard
Jesse Vig
Nazneen Rajani
HAI
83
92
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 Labour
Erick Mendez Guzman
Viktor Schlegel
Riza Batista-Navarro
38
8
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
95
33
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 Security
Maede Zolanvari
Zebo Yang
K. Khan
Rajkumar Jain
N. Meskin
61
80
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 dynamics
Mariana C. A. Clare
Maike Sonnewald
Redouane Lguensat
Julie Deshayes
Venkatramani Balaji
BDL
132
33
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
66
57
0
30 Apr 2022
Explainable AI via Learning to Optimize
Explainable AI via Learning to Optimize
Howard Heaton
Samy Wu Fung
84
16
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 Machines
Talhat Khan
Kashif Ahmad
Jebran Khan
Imran Khan
Nasir Ahmad
113
13
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
51
11
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
86
6
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 Networks
Dario Rossi
Liang Zhang
63
14
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 System
Tobias Schlosser
Frederik Beuth
Trixy Meyer
Arun Kumar
Gabriel Stolze
Olga Furashova
K. Engelmann
Danny Kowerko
10
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 Classifiers
Zheng Tang
Mihai Surdeanu
136
6
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
13
7
0
22 Apr 2022
Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability
Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability
Svetlana Pavlitska
Christian Hubschneider
Lukas Struppek
J. Marius Zöllner
MoE
64
12
0
22 Apr 2022
The Risks of Machine Learning Systems
The Risks of Machine Learning Systems
Samson Tan
Araz Taeihagh
K. Baxter
39
5
0
21 Apr 2022
Reinforcement Learning with Intrinsic Affinity for Personalized
  Prosperity Management
Reinforcement Learning with Intrinsic Affinity for Personalized Prosperity Management
Charl Maree
C. Omlin
93
1
0
20 Apr 2022
Five Ps: Leverage Zones Towards Responsible AI
Five Ps: Leverage Zones Towards Responsible AI
E. Nabavi
Chris Browne
62
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 constraints
Patrick Zschech
Sven Weinzierl
Nico Hambauer
Sandra Zilker
Mathias Kraus
154
14
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
59
12
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
32
7
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 System
Markus Borg
Jens Henriksson
Kasper Socha
Olof Lennartsson
Elias Sonnsjo Lonegren
T. Bui
Piotr Tomaszewski
S. Sathyamoorthy
Sebastian Brink
M. H. Moghadam
87
25
0
16 Apr 2022
DT2CAM: A Decision Tree to Content Addressable Memory Framework
DT2CAM: A Decision Tree to Content Addressable Memory Framework
M. Rakka
M. Fouda
R. Kanj
Fadi J. Kurdahi
21
1
0
12 Apr 2022
Enriching Artificial Intelligence Explanations with Knowledge Fragments
Enriching Artificial Intelligence Explanations with Knowledge Fragments
Jože M. Rožanec
Elena Trajkova
I. Novalija
Patrik Zajec
K. Kenda
B. Fortuna
Dunja Mladenić
70
9
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
78
47
0
11 Apr 2022
Machine Learning and Deep Learning -- A review for Ecologists
Machine Learning and Deep Learning -- A review for Ecologists
Maximilian Pichler
F. Hartig
134
145
0
11 Apr 2022
Explain yourself! Effects of Explanations in Human-Robot Interaction
Explain yourself! Effects of Explanations in Human-Robot Interaction
Jakob Ambsdorf
A. Munir
Yiyao Wei
Klaas Degkwitz
Harm Matthias Harms
...
Kyra Ahrens
Dennis Becker
Erik Strahl
Tom Weber
S. Wermter
93
8
0
09 Apr 2022
Interpretable AI for policy-making in pandemics
Interpretable AI for policy-making in pandemics
Leonardo Lucio Custode
Giovanni Iacca
71
9
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
Yun-Hui Liu
Feng-Liang Wang
Chengxiu Zhang
Yida Wang
Mei Yuan
Guangze Yang
51
4
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 outcomes
V. Guarrasi
Paolo Soda
48
24
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
102
20
0
05 Apr 2022
Towards Explainable Meta-Learning for DDoS Detection
Towards Explainable Meta-Learning for DDoS Detection
Qianru Zhou
Rong Li
Lei Xu
A. Nallanathan
Jian Yang
Anmin Fu
AAML
116
4
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
25
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
63
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 Future
Joyjit Chatterjee
Nina Dethlefs
57
86
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 adoption
Richard Fulton
Diane Fulton
Susan Kaplan
19
2
0
30 Mar 2022
Towards Interpretable Deep Reinforcement Learning Models via Inverse
  Reinforcement Learning
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning
Yuansheng Xie
Soroush Vosoughi
Saeed Hassanpour
82
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 Models
Alexander Stevens
Johannes De Smedt
XAIFaML
113
14
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 Recommendation
Chao Chen
Haoyu Geng
Nianzu Yang
Junchi Yan
Daiyue Xue
Jianping Yu
Xiaokang Yang
HAIAI4TS
62
11
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
80
9
0
29 Mar 2022
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