ResearchTrend.AI
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

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
Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey
Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey
Philipp Mondorf
Barbara Plank
ELMLRMLM&MA
167
52
0
02 Apr 2024
Explainable AI Integrated Feature Engineering for Wildfire Prediction
Explainable AI Integrated Feature Engineering for Wildfire Prediction
Di Fan
Ayan Biswas
J. Ahrens
61
3
0
01 Apr 2024
Advancing Multimodal Data Fusion in Pain Recognition: A Strategy Leveraging Statistical Correlation and Human-Centered Perspectives
Advancing Multimodal Data Fusion in Pain Recognition: A Strategy Leveraging Statistical Correlation and Human-Centered Perspectives
Xingrui Gu
Zhixuan Wang
Irisa Jin
Zekun Wu
38
1
0
30 Mar 2024
Segmentation, Classification and Interpretation of Breast Cancer Medical Images using Human-in-the-Loop Machine Learning
Segmentation, Classification and Interpretation of Breast Cancer Medical Images using Human-in-the-Loop Machine Learning
David Vázquez-Lema
E. Mosqueira-Rey
Elena Hernández-Pereira
Carlos Fernández-Lozano
Fernando Seara-Romera
Jorge Pombo-Otero
LM&MA
71
1
0
29 Mar 2024
Evaluating Explanatory Capabilities of Machine Learning Models in Medical Diagnostics: A Human-in-the-Loop Approach
Evaluating Explanatory Capabilities of Machine Learning Models in Medical Diagnostics: A Human-in-the-Loop Approach
José Bobes-Bascarán
E. Mosqueira-Rey
Á. Fernández-Leal
Elena Hernández-Pereira
David Alonso-Ríos
V. Moret-Bonillo
Israel Figueirido-Arnoso
Y. Vidal-Ínsua
ELM
72
0
0
28 Mar 2024
Neural Clustering based Visual Representation Learning
Neural Clustering based Visual Representation Learning
Guikun Chen
Xia Li
Yi Yang
Wenguan Wang
SSL
102
10
0
26 Mar 2024
XAIport: A Service Framework for the Early Adoption of XAI in AI Model Development
XAIport: A Service Framework for the Early Adoption of XAI in AI Model Development
Zerui Wang
Yan Liu
Abishek Arumugam Thiruselvi
A. Hamou-Lhadj
53
4
0
25 Mar 2024
Interpretable Machine Learning for Weather and Climate Prediction: A Survey
Interpretable Machine Learning for Weather and Climate Prediction: A Survey
Ruyi Yang
Jingyu Hu
Zihao Li
Jianli Mu
Tingzhao Yu
Jiangjiang Xia
Xuhong Li
Aritra Dasgupta
Haoyi Xiong
AI4CE
105
5
0
24 Mar 2024
(Un)making AI Magic: a Design Taxonomy
(Un)making AI Magic: a Design Taxonomy
M. Lupetti
Dave Murray-Rust
84
16
0
22 Mar 2024
Large language models for crowd decision making based on prompt design strategies using ChatGPT: models, analysis and challenges
Large language models for crowd decision making based on prompt design strategies using ChatGPT: models, analysis and challenges
Cristina Zuheros
David Herrera-Poyatos
Rosana Montes-Soldado
Francisco Herrera
137
1
0
22 Mar 2024
How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey
How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey
Thu Nguyen
Alessandro Canossa
Jichen Zhu
62
3
0
21 Mar 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Randy Goebel
262
6
0
18 Mar 2024
Causality from Bottom to Top: A Survey
Causality from Bottom to Top: A Survey
Abraham Itzhak Weinberg
Cristiano Premebida
Diego Resende Faria
CML
89
2
0
17 Mar 2024
DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D Imputation
DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D Imputation
Qilong Zhao
Yifei Zhang
Mengdan Zhu
Siyi Gu
Yuyang Gao
Xiaofeng Yang
Liang Zhao
MedIm
114
2
0
16 Mar 2024
Gradient based Feature Attribution in Explainable AI: A Technical Review
Gradient based Feature Attribution in Explainable AI: A Technical Review
Yongjie Wang
Tong Zhang
Xu Guo
Zhiqi Shen
XAI
72
25
0
15 Mar 2024
Machine Learning Processes as Sources of Ambiguity: Insights from AI Art
Machine Learning Processes as Sources of Ambiguity: Insights from AI Art
Christian Sivertsen
Guido Salimbeni
A. Løvlie
Steve Benford
Jichen Zhu
59
16
0
14 Mar 2024
Generating Feasible and Plausible Counterfactual Explanations for Outcome Prediction of Business Processes
Generating Feasible and Plausible Counterfactual Explanations for Outcome Prediction of Business Processes
Alexander Stevens
Chun Ouyang
Johannes De Smedt
Catarina Moreira
CML
68
1
0
14 Mar 2024
Towards a theory of model distillation
Towards a theory of model distillation
Enric Boix-Adserà
FedMLVLM
80
8
0
14 Mar 2024
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers
Francesco Dibitonto
Fabio Garcea
Andre' Panisson
Alan Perotti
Lia Morra
AAML
52
0
0
13 Mar 2024
Fast-Forward Reality: Authoring Error-Free Context-Aware Policies with Real-Time Unit Tests in Extended Reality
Fast-Forward Reality: Authoring Error-Free Context-Aware Policies with Real-Time Unit Tests in Extended Reality
Xun Qian
Tianyi Wang
Xuhai Xu
Tanya R Jonker
Kashyap Todi
27
2
0
12 Mar 2024
A Survey of Explainable Knowledge Tracing
A Survey of Explainable Knowledge Tracing
Yanhong Bai
Jiabao Zhao
Tingjiang Wei
Qing Cai
Liang He
62
6
0
12 Mar 2024
Explainable Learning with Gaussian Processes
Explainable Learning with Gaussian Processes
Kurt Butler
Guanchao Feng
Petar M. Djurić
123
2
0
11 Mar 2024
A Logical Pattern Memory Pre-trained Model for Entailment Tree Generation
A Logical Pattern Memory Pre-trained Model for Entailment Tree Generation
Li Yuan
Yi Cai
Haopeng Ren
Jiexin Wang
LRM
59
5
0
11 Mar 2024
Explainable AI for Embedded Systems Design: A Case Study of Static Redundant NVM Memory Write Prediction
Explainable AI for Embedded Systems Design: A Case Study of Static Redundant NVM Memory Write Prediction
Abdoulaye Gamatié
Yuyang Wang
32
1
0
07 Mar 2024
TrafPS: A Shapley-based Visual Analytics Approach to Interpret Traffic
TrafPS: A Shapley-based Visual Analytics Approach to Interpret Traffic
Zezheng Feng
Yifan Jiang
Hongjun Wang
Z. Fan
Yuxin Ma
Shuang-Hua Yang
Huamin Qu
Xuan Song
51
1
0
07 Mar 2024
T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision Transformers
T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision Transformers
Mariano V. Ntrougkas
Nikolaos Gkalelis
Vasileios Mezaris
ViTFAtt
63
7
0
07 Mar 2024
Design of an Open-Source Architecture for Neural Machine Translation
Design of an Open-Source Architecture for Neural Machine Translation
Séamus Lankford
Haithem Afli
Andy Way
90
0
0
06 Mar 2024
adaptNMT: an open-source, language-agnostic development environment for Neural Machine Translation
adaptNMT: an open-source, language-agnostic development environment for Neural Machine Translation
Séamus Lankford
Haithem Afli
Andy Way
73
3
0
04 Mar 2024
Time2Stop: Adaptive and Explainable Human-AI Loop for Smartphone Overuse Intervention
Time2Stop: Adaptive and Explainable Human-AI Loop for Smartphone Overuse Intervention
Adiba Orzikulova
Han Xiao
Zhipeng Li
Yukang Yan
Yuntao wang
Yuanchun Shi
Marzyeh Ghassemi
Sung-Ju Lee
A. Dey
XuhaiOrsonXu
78
18
0
03 Mar 2024
Modeling the Quality of Dialogical Explanations
Modeling the Quality of Dialogical Explanations
Milad Alshomary
Felix Lange
Meisam Booshehri
Meghdut Sengupta
Philipp Cimiano
Henning Wachsmuth
74
2
0
01 Mar 2024
User Characteristics in Explainable AI: The Rabbit Hole of Personalization?
User Characteristics in Explainable AI: The Rabbit Hole of Personalization?
Robert Nimmo
Marios Constantinides
Ke Zhou
Daniele Quercia
Simone Stumpf
72
15
0
29 Feb 2024
Combination of Weak Learners eXplanations to Improve Random Forest eXplicability Robustness
Combination of Weak Learners eXplanations to Improve Random Forest eXplicability Robustness
Riccardo Pala
Esteban García-Cuesta
28
0
0
29 Feb 2024
Probabilistic Lipschitzness and the Stable Rank for Comparing Explanation Models
Probabilistic Lipschitzness and the Stable Rank for Comparing Explanation Models
Lachlan Simpson
Kyle Millar
A. Cheng
Cheng-Chew Lim
Hong-Gunn Chew
BDLFAtt
94
2
0
29 Feb 2024
Cultural Bias in Explainable AI Research: A Systematic Analysis
Cultural Bias in Explainable AI Research: A Systematic Analysis
Uwe Peters
Mary Carman
45
16
0
28 Feb 2024
DAGnosis: Localized Identification of Data Inconsistencies using Structures
DAGnosis: Localized Identification of Data Inconsistencies using Structures
Nicolas Huynh
Jeroen Berrevoets
Nabeel Seedat
Jonathan Crabbé
Zhaozhi Qian
M. Schaar
89
1
0
26 Feb 2024
Multi-stakeholder Perspective on Responsible Artificial Intelligence and Acceptability in Education
Multi-stakeholder Perspective on Responsible Artificial Intelligence and Acceptability in Education
A. Karran
Patrick Charland
J-T. Martineau
Ana Ortiz de Guinea
Annemarie Lesage
S. Sénécal
Pierre-Majorique Léger
95
5
0
22 Feb 2024
SmartEx: A Framework for Generating User-Centric Explanations in Smart Environments
SmartEx: A Framework for Generating User-Centric Explanations in Smart Environments
Mersedeh Sadeghi
Lars Herbold
Max Unterbusch
Andreas Vogelsang
80
6
0
20 Feb 2024
SingVisio: Visual Analytics of Diffusion Model for Singing Voice Conversion
SingVisio: Visual Analytics of Diffusion Model for Singing Voice Conversion
Liumeng Xue
Chaoren Wang
Mingxuan Wang
Xueyao Zhang
Jun Han
Zhizheng Wu
DiffM
68
6
0
20 Feb 2024
Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysis
Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysis
Shaochen Xu
Zihao Wu
Huaqin Zhao
Peng Shu
Zheng Liu
Wenxiong Liao
Sheng Li
Andrea Sikora
Tianming Liu
Xiang Li
101
17
0
17 Feb 2024
On Explaining Unfairness: An Overview
On Explaining Unfairness: An Overview
Christos Fragkathoulas
Vasiliki Papanikou
Danae Pla Karidi
E. Pitoura
XAIFaML
82
4
0
16 Feb 2024
Current and future roles of artificial intelligence in retinopathy of prematurity
Current and future roles of artificial intelligence in retinopathy of prematurity
Ali Jafarizadeh
Shadi Farabi Maleki
Parnia Pouya
Navid Sobhi
M. Abdollahi
...
Houshyar Asadi
R. Alizadehsani
Ruyan Tan
Sheikh Mohammad Shariful Islam
U. R. Acharya
AI4CE
64
6
0
15 Feb 2024
Explaining Probabilistic Models with Distributional Values
Explaining Probabilistic Models with Distributional Values
Luca Franceschi
Michele Donini
Cédric Archambeau
Matthias Seeger
FAtt
93
2
0
15 Feb 2024
Leveraging Pre-Trained Autoencoders for Interpretable Prototype Learning of Music Audio
Leveraging Pre-Trained Autoencoders for Interpretable Prototype Learning of Music Audio
Pablo Alonso-Jiménez
L. Pepino
Roser Batlle-Roca
Pablo Zinemanas
Dmitry Bogdanov
Xavier Serra
Martín Rocamora
77
7
0
14 Feb 2024
Is my Data in your AI Model? Membership Inference Test with Application to Face Images
Is my Data in your AI Model? Membership Inference Test with Application to Face Images
Daniel DeAlcala
Aythami Morales
Julian Fierrez
Gonzalo Mancera
Ruben Tolosana
J. Ortega-Garcia
CVBM
122
7
0
14 Feb 2024
The Effect of Data Poisoning on Counterfactual Explanations
The Effect of Data Poisoning on Counterfactual Explanations
André Artelt
Shubham Sharma
Freddy Lecue
Barbara Hammer
131
1
0
13 Feb 2024
Scalable Interactive Machine Learning for Future Command and Control
Scalable Interactive Machine Learning for Future Command and Control
Anna Madison
Ellen R. Novoseller
Vinicius G. Goecks
Benjamin T. Files
Nicholas R. Waytowich
Alfred Yu
Vernon J. Lawhern
Steven Thurman
Christopher Kelshaw
Kaleb McDowell
70
4
0
09 Feb 2024
Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-Series
Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-Series
Sergio Martínez-Aguero
Antonio G. Marques
Inmaculada Mora-Jiménez
Joaquín Alvárez-Rodríguez
Cristina Soguero-Ruiz
51
0
0
09 Feb 2024
What's documented in AI? Systematic Analysis of 32K AI Model Cards
What's documented in AI? Systematic Analysis of 32K AI Model Cards
Weixin Liang
Nazneen Rajani
Xinyu Yang
Ezinwanne Ozoani
Eric Wu
Yiqun Chen
D. Smith
James Zou
97
18
0
07 Feb 2024
Example-based Explanations for Random Forests using Machine Unlearning
Example-based Explanations for Random Forests using Machine Unlearning
Tanmay Surve
Romila Pradhan
FaMLFAtt
56
3
0
07 Feb 2024
Advancing Explainable AI Toward Human-Like Intelligence: Forging the Path to Artificial Brain
Advancing Explainable AI Toward Human-Like Intelligence: Forging the Path to Artificial Brain
Yongchen Zhou
Richard Jiang
56
4
0
07 Feb 2024

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.