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Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI

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
ArXivPDFHTML

Papers citing "Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI"

50 / 430 papers shown
Title
"I Want It That Way": Enabling Interactive Decision Support Using Large
  Language Models and Constraint Programming
"I Want It That Way": Enabling Interactive Decision Support Using Large Language Models and Constraint Programming
Connor Lawless
Jakob Schoeffer
Lindy Le
Kael Rowan
Shilad Sen
Cristina St. Hill
Jina Suh
Bahar Sarrafzadeh
33
8
0
12 Dec 2023
Deeper Understanding of Black-box Predictions via Generalized Influence
  Functions
Deeper Understanding of Black-box Predictions via Generalized Influence Functions
Hyeonsu Lyu
Jonggyu Jang
Sehyun Ryu
H. Yang
TDI
AI4CE
18
5
0
09 Dec 2023
Conceptualizing the Relationship between AI Explanations and User Agency
Conceptualizing the Relationship between AI Explanations and User Agency
Iyadunni Adenuga
Jonathan Dodge
24
2
0
05 Dec 2023
Do AI models produce better weather forecasts than physics-based models?
  A quantitative evaluation case study of Storm Ciarán
Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán
A. Charlton-Perez
H. Dacre
Simon Driscoll
Suzanne L. Gray
Ben Harvey
...
Kieran M. R. Hunt
Robert W. Lee
Ranjini Swaminathan
R. Vandaele
Ambrogio Volonté
AI4Cl
24
29
0
05 Dec 2023
Trust, distrust, and appropriate reliance in (X)AI: a survey of
  empirical evaluation of user trust
Trust, distrust, and appropriate reliance in (X)AI: a survey of empirical evaluation of user trust
Roel W. Visser
Tobias M. Peters
Ingrid Scharlau
Barbara Hammer
21
5
0
04 Dec 2023
Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer
  Learning Method
Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method
Wahidul Hasan Abir
Md Fahim Uddin
Faria Rahman Khanam
Mohammad Monirujjaman Khan
17
49
0
01 Dec 2023
On the Relationship Between Interpretability and Explainability in
  Machine Learning
On the Relationship Between Interpretability and Explainability in Machine Learning
Benjamin Leblanc
Pascal Germain
FaML
24
0
0
20 Nov 2023
Explaining black boxes with a SMILE: Statistical Model-agnostic
  Interpretability with Local Explanations
Explaining black boxes with a SMILE: Statistical Model-agnostic Interpretability with Local Explanations
Koorosh Aslansefat
Mojgan Hashemian
M. Walker
Mohammed Naveed Akram
Ioannis Sorokos
Y. Papadopoulos
FAtt
AAML
11
2
0
13 Nov 2023
Deep Natural Language Feature Learning for Interpretable Prediction
Deep Natural Language Feature Learning for Interpretable Prediction
Felipe Urrutia
Cristian Buc
Valentin Barriere
23
1
0
09 Nov 2023
Explained anomaly detection in text reviews: Can subjective scenarios be
  correctly evaluated?
Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated?
David Novoa-Paradela
O. Fontenla-Romero
B. Guijarro-Berdiñas
20
0
0
08 Nov 2023
AI for All: Operationalising Diversity and Inclusion Requirements for AI
  Systems
AI for All: Operationalising Diversity and Inclusion Requirements for AI Systems
Muneera Bano
Didar Zowghi
Vincenzo Gervasi
R. Shams
14
6
0
07 Nov 2023
Notion of Explainable Artificial Intelligence -- An Empirical
  Investigation from A Users Perspective
Notion of Explainable Artificial Intelligence -- An Empirical Investigation from A Users Perspective
A. Haque
A. Najmul Islam
Patrick Mikalef
26
1
0
01 Nov 2023
Explainable Depression Symptom Detection in Social Media
Explainable Depression Symptom Detection in Social Media
Eliseo Bao Souto
Anxo Perez
Javier Parapar
22
5
0
20 Oct 2023
Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability
Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability
Md. Tanzib Hosain
Md. Mehedi Hasan Anik
Sadman Rafi̇
Rana Tabassum
Khaleque Insi̇a
Md. Mehrab Siddiky
15
6
0
13 Oct 2023
Counterfactual Explanations for Time Series Forecasting
Counterfactual Explanations for Time Series Forecasting
Zhendong Wang
Ioanna Miliou
Isak Samsten
P. Papapetrou
BDL
AI4TS
OOD
26
4
0
12 Oct 2023
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
Hao Sha
Yao Mu
Yuxuan Jiang
Li Chen
Chenfeng Xu
Ping Luo
Shengbo Eben Li
Masayoshi Tomizuka
Wei Zhan
Mingyu Ding
111
159
0
04 Oct 2023
Machine Learning Meets Advanced Robotic Manipulation
Machine Learning Meets Advanced Robotic Manipulation
Saeid Nahavandi
R. Alizadehsani
D. Nahavandi
Chee Peng Lim
Kevin Kelly
Fernando Bello
24
17
0
22 Sep 2023
Redefining Qualitative Analysis in the AI Era: Utilizing ChatGPT for
  Efficient Thematic Analysis
Redefining Qualitative Analysis in the AI Era: Utilizing ChatGPT for Efficient Thematic Analysis
He Zhang
Chuhao Wu
Jingyi Xie
Yao Lyu
Jie Cai
John M. Carroll
26
51
0
19 Sep 2023
Interpretability is not Explainability: New Quantitative XAI Approach
  with a focus on Recommender Systems in Education
Interpretability is not Explainability: New Quantitative XAI Approach with a focus on Recommender Systems in Education
Riccardo Porcedda
XAI
25
0
0
18 Sep 2023
Interpretability-Aware Vision Transformer
Interpretability-Aware Vision Transformer
Yao Qiang
Chengyin Li
Prashant Khanduri
D. Zhu
ViT
80
7
0
14 Sep 2023
Beyond XAI:Obstacles Towards Responsible AI
Beyond XAI:Obstacles Towards Responsible AI
Yulu Pi
32
2
0
07 Sep 2023
Natural Example-Based Explainability: a Survey
Natural Example-Based Explainability: a Survey
Antonin Poché
Lucas Hervier
M. Bakkay
XAI
24
11
0
05 Sep 2023
Is visual explanation with Grad-CAM more reliable for deeper neural
  networks? a case study with automatic pneumothorax diagnosis
Is visual explanation with Grad-CAM more reliable for deeper neural networks? a case study with automatic pneumothorax diagnosis
Zirui Qiu
H. Rivaz
Yiming Xiao
FAtt
11
4
0
29 Aug 2023
The Promise and Peril of Artificial Intelligence -- Violet Teaming
  Offers a Balanced Path Forward
The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward
A. Titus
Adam Russell
22
1
0
28 Aug 2023
Explaining with Attribute-based and Relational Near Misses: An
  Interpretable Approach to Distinguishing Facial Expressions of Pain and
  Disgust
Explaining with Attribute-based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust
Bettina Finzel
Simon Kuhn
David E. Tafler
Ute Schmid
FAtt
26
1
0
27 Aug 2023
Fairness Explainability using Optimal Transport with Applications in
  Image Classification
Fairness Explainability using Optimal Transport with Applications in Image Classification
Philipp Ratz
Franccois Hu
Arthur Charpentier
15
0
0
22 Aug 2023
Causal Intersectionality and Dual Form of Gradient Descent for
  Multimodal Analysis: a Case Study on Hateful Memes
Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: a Case Study on Hateful Memes
Yosuke Miyanishi
M. Nguyen
26
2
0
19 Aug 2023
Synergi: A Mixed-Initiative System for Scholarly Synthesis and
  Sensemaking
Synergi: A Mixed-Initiative System for Scholarly Synthesis and Sensemaking
Hyeonsu B Kang
Sherry Wu
Joseph Chee Chang
A. Kittur
24
33
0
15 Aug 2023
Explaining Black-Box Models through Counterfactuals
Explaining Black-Box Models through Counterfactuals
Patrick Altmeyer
A. V. Deursen
Cynthia C. S. Liem
CML
LRM
34
2
0
14 Aug 2023
Ground Truth Or Dare: Factors Affecting The Creation Of Medical Datasets
  For Training AI
Ground Truth Or Dare: Factors Affecting The Creation Of Medical Datasets For Training AI
H. D. Zając
Natalia-Rozalia Avlona
T. O. Andersen
F. Kensing
Irina Shklovski
19
17
0
12 Aug 2023
Software Doping Analysis for Human Oversight
Software Doping Analysis for Human Oversight
Sebastian Biewer
Kevin Baum
Sarah Sterz
Holger Hermanns
Sven Hetmank
Markus Langer
Anne Lauber-Rönsberg
Franz Lehr
20
4
0
11 Aug 2023
SurvBeX: An explanation method of the machine learning survival models
  based on the Beran estimator
SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator
Lev V. Utkin
Danila Eremenko
A. Konstantinov
30
4
0
07 Aug 2023
Using Kernel SHAP XAI Method to optimize the Network Anomaly Detection
  Model
Using Kernel SHAP XAI Method to optimize the Network Anomaly Detection Model
Khushnaseeb Roshan
Aasim Zafar
9
16
0
31 Jul 2023
Modeling Inverse Demand Function with Explainable Dual Neural Networks
Modeling Inverse Demand Function with Explainable Dual Neural Networks
Zhiyu Cao
Zihan Chen
P. Mishra
Hamed Amini
Zachary Feinstein
20
2
0
26 Jul 2023
A New Perspective on Evaluation Methods for Explainable Artificial
  Intelligence (XAI)
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI)
Timo Speith
Markus Langer
24
12
0
26 Jul 2023
HealthPrism: A Visual Analytics System for Exploring Children's Physical
  and Mental Health Profiles with Multimodal Data
HealthPrism: A Visual Analytics System for Exploring Children's Physical and Mental Health Profiles with Multimodal Data
Zhihan Jiang
Handi Chen
Rui Zhou
Jing Deng
Xinchen Zhang
Running Zhao
Cong Xie
Yifang Wang
Edith C. H. Ngai
14
4
0
23 Jul 2023
Leveraging Historical Medical Records as a Proxy via Multimodal Modeling
  and Visualization to Enrich Medical Diagnostic Learning
Leveraging Historical Medical Records as a Proxy via Multimodal Modeling and Visualization to Enrich Medical Diagnostic Learning
Ouyang Yang
Yuchen Wu
He Wang
Chenyang Zhang
Furui Cheng
Chang Jiang
Lixia Jin
Yuanwu Cao
Qu Li
14
6
0
23 Jul 2023
`It is currently hodgepodge'': Examining AI/ML Practitioners' Challenges
  during Co-production of Responsible AI Values
`It is currently hodgepodge'': Examining AI/ML Practitioners' Challenges during Co-production of Responsible AI Values
R. Varanasi
Nitesh Goyal
26
46
0
14 Jul 2023
Reliable AI: Does the Next Generation Require Quantum Computing?
Reliable AI: Does the Next Generation Require Quantum Computing?
Aras Bacho
Holger Boche
Gitta Kutyniok
24
2
0
03 Jul 2023
Filter Bubbles in Recommender Systems: Fact or Fallacy -- A Systematic
  Review
Filter Bubbles in Recommender Systems: Fact or Fallacy -- A Systematic Review
Q. Areeb
Mohammad Nadeem
S. Sohail
Raza Imam
F. Doctor
Yassine Himeur
Amir Hussain
Abbes Amira
24
29
0
02 Jul 2023
Finding differences in perspectives between designers and engineers to
  develop trustworthy AI for autonomous cars
Finding differences in perspectives between designers and engineers to develop trustworthy AI for autonomous cars
Gustav Jönelid
Karl Rikard Larsson
21
1
0
01 Jul 2023
Explainable Predictive Maintenance
Explainable Predictive Maintenance
Sepideh Pashami
Sławomir Nowaczyk
Yuantao Fan
Jakub Jakubowski
Nuno Paiva
...
Bruno Veloso
M. Sayed-Mouchaweh
L. Rajaoarisoa
Grzegorz J. Nalepa
João Gama
32
8
0
08 Jun 2023
Physics-Informed Computer Vision: A Review and Perspectives
Physics-Informed Computer Vision: A Review and Perspectives
C. Banerjee
Kien Nguyen
Clinton Fookes
G. Karniadakis
PINN
AI4CE
30
28
0
29 May 2023
Optimality Principles in Spacecraft Neural Guidance and Control
Optimality Principles in Spacecraft Neural Guidance and Control
Dario Izzo
E. Blazquez
Robin Ferede
Sebastien Origer
C. De Wagter
Guido de Croon
22
8
0
22 May 2023
A Survey of Explainable AI and Proposal for a Discipline of Explanation
  Engineering
A Survey of Explainable AI and Proposal for a Discipline of Explanation Engineering
Clive Gomes
Lalitha Natraj
Shijun Liu
Anushka Datta
11
0
0
20 May 2023
The Case Against Explainability
The Case Against Explainability
Hofit Wasserman Rozen
N. Elkin-Koren
Ran Gilad-Bachrach
AILaw
ELM
21
1
0
20 May 2023
Visualization for Recommendation Explainability: A Survey and New
  Perspectives
Visualization for Recommendation Explainability: A Survey and New Perspectives
Mohamed Amine Chatti
Mouadh Guesmi
Arham Muslim
XAI
HAI
LRM
20
5
0
19 May 2023
Flexible and Inherently Comprehensible Knowledge Representation for
  Data-Efficient Learning and Trustworthy Human-Machine Teaming in
  Manufacturing Environments
Flexible and Inherently Comprehensible Knowledge Representation for Data-Efficient Learning and Trustworthy Human-Machine Teaming in Manufacturing Environments
Vedran Galetić
Alistair Nottle
24
1
0
19 May 2023
Testing System Intelligence
Testing System Intelligence
J. Sifakis
6
3
0
19 May 2023
XAI for Self-supervised Clustering of Wireless Spectrum Activity
XAI for Self-supervised Clustering of Wireless Spectrum Activity
Ljupcho Milosheski
Gregor Cerar
Blaž Bertalanič
Carolina Fortuna
M. Mohorčič
SSL
27
3
0
17 May 2023
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