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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
Understanding the Role of Human Intuition on Reliance in Human-AI
  Decision-Making with Explanations
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations
Valerie Chen
Q. V. Liao
Jennifer Wortman Vaughan
Gagan Bansal
153
114
0
18 Jan 2023
Knowledge is Power, Understanding is Impact: Utility and Beyond Goals,
  Explanation Quality, and Fairness in Path Reasoning Recommendation
Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation
Giacomo Balloccu
Ludovico Boratto
Christian Cancedda
Gianni Fenu
Mirko Marras
39
9
0
14 Jan 2023
Modulation spectral features for speech emotion recognition using deep
  neural networks
Modulation spectral features for speech emotion recognition using deep neural networks
Premjeet Singh
Md. Sahidullah
G. Saha
64
50
0
14 Jan 2023
Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness
  Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making
Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making
Shuai Ma
Ying Lei
Xinru Wang
Chengbo Zheng
Chuhan Shi
Ming Yin
Xiaojuan Ma
81
106
0
14 Jan 2023
A Rigorous Uncertainty-Aware Quantification Framework Is Essential for
  Reproducible and Replicable Machine Learning Workflows
A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows
Line C. Pouchard
Kristofer G. Reyes
Francis J. Alexander
Byung-Jun Yoon
88
2
0
13 Jan 2023
Explaining $\mathcal{ELH}$ Concept Descriptions through Counterfactual
  Reasoning
Explaining ELH\mathcal{ELH}ELH Concept Descriptions through Counterfactual Reasoning
Leonie Nora Sieger
Stefan Heindorf
Yasir Mahmood
Lukas Blübaum
A. N. Ngomo
48
0
0
12 Jan 2023
Estimate Deformation Capacity of Non-Ductile RC Shear Walls using
  Explainable Boosting Machine
Estimate Deformation Capacity of Non-Ductile RC Shear Walls using Explainable Boosting Machine
Z. Deger
Gülsen Taskin Kaya
J. Wallace
41
3
0
11 Jan 2023
Explainable, Physics Aware, Trustworthy AI Paradigm Shift for Synthetic
  Aperture Radar
Explainable, Physics Aware, Trustworthy AI Paradigm Shift for Synthetic Aperture Radar
Mihai Datcu
Zhongling Huang
Andrei Anghel
Juanping Zhao
R. Cacoveanu
64
0
0
09 Jan 2023
On the coalitional decomposition of parameters of interest
On the coalitional decomposition of parameters of interest
Marouane Il Idrissi
Nicolas Bousquet
Fabrice Gamboa
Bertrand Iooss
Jean-Michel Loubes
69
9
0
06 Jan 2023
PEAK: Explainable Privacy Assistant through Automated Knowledge
  Extraction
PEAK: Explainable Privacy Assistant through Automated Knowledge Extraction
Gonul Ayci
Arzucan Özgür
Murat cSensoy
P. Yolum
85
1
0
05 Jan 2023
On the Forces of Driver Distraction: Explainable Predictions for the
  Visual Demand of In-Vehicle Touchscreen Interactions
On the Forces of Driver Distraction: Explainable Predictions for the Visual Demand of In-Vehicle Touchscreen Interactions
Patrick Ebel
Christoph Lingenfelder
Andreas Vogelsang
FAttAAML
55
23
0
05 Jan 2023
Instance-based Explanations for Gradient Boosting Machine Predictions
  with AXIL Weights
Instance-based Explanations for Gradient Boosting Machine Predictions with AXIL Weights
P. Geertsema
Helen Lu
FAtt
18
2
0
05 Jan 2023
Towards Explainable Land Cover Mapping: a Counterfactual-based Strategy
Towards Explainable Land Cover Mapping: a Counterfactual-based Strategy
C. Dantas
Diego Marcos
Dino Ienco
AAMLGAN
51
0
0
04 Jan 2023
Mapping Knowledge Representations to Concepts: A Review and New
  Perspectives
Mapping Knowledge Representations to Concepts: A Review and New Perspectives
Lars Holmberg
P. Davidsson
Per Linde
88
2
0
31 Dec 2022
Disentangled Explanations of Neural Network Predictions by Finding
  Relevant Subspaces
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces
Pattarawat Chormai
J. Herrmann
Klaus-Robert Muller
G. Montavon
FAtt
124
20
0
30 Dec 2022
Selected aspects of complex, hypercomplex and fuzzy neural networks
Selected aspects of complex, hypercomplex and fuzzy neural networks
A. Niemczynowicz
Radosław Antoni Kycia
Maciej Jaworski
A. Siemaszko
J. Calabuig
...
Baruch Schneider
Diana Berseghyan
Irina Perfiljeva
V. Novák
Piotr Artiemjew
64
0
0
29 Dec 2022
Multimodal Explainability via Latent Shift applied to COVID-19
  stratification
Multimodal Explainability via Latent Shift applied to COVID-19 stratification
V. Guarrasi
L. Tronchin
Domenico Albano
E. Faiella
Deborah Fazzini
D. Santucci
Paolo Soda
79
24
0
28 Dec 2022
Extractive Text Summarization Using Generalized Additive Models with
  Interactions for Sentence Selection
Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection
Vinícius Camargo Da Silva
João Paulo Papa
K. Costa
66
1
0
21 Dec 2022
BMX: Boosting Natural Language Generation Metrics with Explainability
BMX: Boosting Natural Language Generation Metrics with Explainability
Christoph Leiter
Hoang-Quan Nguyen
Steffen Eger
ELM
70
0
0
20 Dec 2022
Segmentation Ability Map: Interpret deep features for medical image
  segmentation
Segmentation Ability Map: Interpret deep features for medical image segmentation
Sheng He
Yanfang Feng
P. E. Grant
Yangming Ou
SSeg
51
27
0
19 Dec 2022
Context-dependent Explainability and Contestability for Trustworthy
  Medical Artificial Intelligence: Misclassification Identification of
  Morbidity Recognition Models in Preterm Infants
Context-dependent Explainability and Contestability for Trustworthy Medical Artificial Intelligence: Misclassification Identification of Morbidity Recognition Models in Preterm Infants
Isil Guzey
Ozlem Ucar
N. A. Çiftdemir
B. Acunaş
99
2
0
17 Dec 2022
Shapley variable importance cloud for machine learning models
Shapley variable importance cloud for machine learning models
Yilin Ning
Mingxuan Liu
Nan Liu
FAttTDI
65
1
0
16 Dec 2022
AI Model Utilization Measurements For Finding Class Encoding Patterns
AI Model Utilization Measurements For Finding Class Encoding Patterns
P. Bajcsy
Antonio Cardone
Chenyi Ling
Philippe Dessauw
Michael Majurski
Timothy Blattner
D. Juba
Walid Keyrouz
55
0
0
12 Dec 2022
Activity-Based Recommendations for Demand Response in Smart Sustainable
  Buildings
Activity-Based Recommendations for Demand Response in Smart Sustainable Buildings
Alona Zharova
Laura Löschmann
23
0
0
10 Dec 2022
Understanding electricity prices beyond the merit order principle using
  explainable AI
Understanding electricity prices beyond the merit order principle using explainable AI
Julius Trebbien
L. R. Gorjão
Aaron Praktiknjo
B. Schäfer
D. Witthaut
56
28
0
09 Dec 2022
The Role of AI in Drug Discovery: Challenges, Opportunities, and
  Strategies
The Role of AI in Drug Discovery: Challenges, Opportunities, and Strategies
Alexandre Blanco-Gonzalez
Alfonso Cabezon
Alejandro Seco-Gonzalez
Daniel Conde-Torres
Paula Antelo-Riveiro
Ángel Piñeiro
R. García‐Fandiño
51
285
0
08 Dec 2022
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Yuyang Gao
Siyi Gu
Junji Jiang
S. Hong
Dazhou Yu
Liang Zhao
76
42
0
07 Dec 2022
Fairness and Explainability: Bridging the Gap Towards Fair Model
  Explanations
Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations
Yuying Zhao
Yu Wang
Hanyu Wang
FaML
91
16
0
07 Dec 2022
Deep Learning for Brain Age Estimation: A Systematic Review
Deep Learning for Brain Age Estimation: A Systematic Review
Md. Iftekhar Tanveer
M. A. Ganaie
I. Beheshti
Tripti Goel
Nehal Ahmad
Kuan-Ting Lai
Kaizhu Huang
Yudong Zhang
Javier Del Ser
Chin-Teng Lin
97
90
0
07 Dec 2022
Time series numerical association rule mining variants in smart
  agriculture
Time series numerical association rule mining variants in smart agriculture
Iztok Fister
D. Fister
Iztok Fister
V. Podgorelec
S. Salcedo-Sanz
23
2
0
07 Dec 2022
Towards a more efficient computation of individual attribute and policy
  contribution for post-hoc explanation of cooperative multi-agent systems
  using Myerson values
Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson values
Giorgio Angelotti
Natalia Díaz Rodríguez
64
7
0
06 Dec 2022
Quantification of geogrid lateral restraint using transparent sand and
  deep learning-based image segmentation
Quantification of geogrid lateral restraint using transparent sand and deep learning-based image segmentation
D. Marx
Krishna Kumar
J. Zornberg
33
2
0
06 Dec 2022
A Survey on Medical Document Summarization
A Survey on Medical Document Summarization
Raghav Jain
Anubhav Jangra
S. Saha
Adam Jatowt
3DGSMedIm
82
19
0
03 Dec 2022
Decisions that Explain Themselves: A User-Centric Deep Reinforcement
  Learning Explanation System
Decisions that Explain Themselves: A User-Centric Deep Reinforcement Learning Explanation System
Xiaoran Wu
Zihan Yan
Chongjie Zhang
Tongshuang Wu
67
2
0
01 Dec 2022
Prioritizing Policies for Furthering Responsible Artificial Intelligence
  in the United States
Prioritizing Policies for Furthering Responsible Artificial Intelligence in the United States
Emily C Hadley
52
5
0
30 Nov 2022
Design Space Exploration and Explanation via Conditional Variational
  Autoencoders in Meta-model-based Conceptual Design of Pedestrian Bridges
Design Space Exploration and Explanation via Conditional Variational Autoencoders in Meta-model-based Conceptual Design of Pedestrian Bridges
Vera M. Balmer
Sophia V. Kuhn
Rafael Bischof
Luis Salamanca
W. Kaufmann
Fernando Perez-Cruz
M. Kraus
3DV
41
10
0
29 Nov 2022
The Grind for Good Data: Understanding ML Practitioners' Struggles and
  Aspirations in Making Good Data
The Grind for Good Data: Understanding ML Practitioners' Struggles and Aspirations in Making Good Data
Inha Cha
Juhyun Oh
Cheul Young Park
Jiyoon Han
Hwalsuk Lee
84
2
0
28 Nov 2022
"Explain it in the Same Way!" -- Model-Agnostic Group Fairness of
  Counterfactual Explanations
"Explain it in the Same Way!" -- Model-Agnostic Group Fairness of Counterfactual Explanations
André Artelt
Barbara Hammer
FaML
84
8
0
27 Nov 2022
Deep Learning Training Procedure Augmentations
Deep Learning Training Procedure Augmentations
Cristian Simionescu
104
1
0
25 Nov 2022
The European AI Liability Directives -- Critique of a Half-Hearted
  Approach and Lessons for the Future
The European AI Liability Directives -- Critique of a Half-Hearted Approach and Lessons for the Future
P. Hacker
AILaw
85
68
0
25 Nov 2022
Explainable Artificial Intelligence (XAI) from a user perspective- A
  synthesis of prior literature and problematizing avenues for future research
Explainable Artificial Intelligence (XAI) from a user perspective- A synthesis of prior literature and problematizing avenues for future research
Akm Bahalul Haque
A. Najmul Islam
Patrick Mikalef
XAI
61
107
0
24 Nov 2022
Towards Human-Interpretable Prototypes for Visual Assessment of Image
  Classification Models
Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models
Poulami Sinhamahapatra
Lena Heidemann
Maureen Monnet
Karsten Roscher
85
5
0
22 Nov 2022
A Brief Overview of AI Governance for Responsible Machine Learning
  Systems
A Brief Overview of AI Governance for Responsible Machine Learning Systems
Navdeep Gill
Abhishek Mathur
Marcos V. Conde
71
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
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
56
4
0
21 Nov 2022
Deep learning methods for drug response prediction in cancer:
  predominant and emerging trends
Deep learning methods for drug response prediction in cancer: predominant and emerging trends
A. Partin
Thomas Brettin
Yitan Zhu
Oleksandr Narykov
Austin R. Clyde
Jamie Overbeek
Department of Materials Science
73
60
0
18 Nov 2022
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in
  Medicine
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
Ahmad Chaddad
Qizong Lu
Jiali Li
Y. Katib
R. Kateb
C. Tanougast
Ahmed Bouridane
Ahmed Abdulkadir
OOD
72
38
0
17 Nov 2022
Explaining Cross-Domain Recognition with Interpretable Deep Classifier
Explaining Cross-Domain Recognition with Interpretable Deep Classifier
Yiheng Zhang
Ting Yao
Zhaofan Qiu
Tao Mei
OOD
70
3
0
15 Nov 2022
Leveraging Automatic Personalised Nutrition: Food Image Recognition
  Benchmark and Dataset based on Nutrition Taxonomy
Leveraging Automatic Personalised Nutrition: Food Image Recognition Benchmark and Dataset based on Nutrition Taxonomy
Sergio Romero-Tapiador
Ruben Tolosana
Aythami Morales
Julian Fierrez
R. Vera-Rodríguez
Isabel Espinosa-Salinas
G. Freixer
Enrique Carrillo-de Santa Pau
Ana Ramírez de Molina
J. Ortega-Garcia
113
6
0
14 Nov 2022
Seamful XAI: Operationalizing Seamful Design in Explainable AI
Seamful XAI: Operationalizing Seamful Design in Explainable AI
Upol Ehsan
Q. V. Liao
Samir Passi
Mark O. Riedl
Hal Daumé
91
24
0
12 Nov 2022
Explainable Artificial Intelligence: Precepts, Methods, and
  Opportunities for Research in Construction
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
59
9
0
12 Nov 2022
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