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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 / 1,490 papers shown
Enabling MCTS Explainability for Sequential Planning Through Computation
  Tree Logic
Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic
Ziyan An
Hendrik Baier
Abhishek Dubey
Ayan Mukhopadhyay
Meiyi Ma
LRM
270
5
0
15 Jul 2024
Explainable bank failure prediction models: Counterfactual explanations
  to reduce the failure risk
Explainable bank failure prediction models: Counterfactual explanations to reduce the failure risk
Seyma Gunonu
Gizem Altun
Mustafa Cavus
250
2
0
14 Jul 2024
Integrating AI Tutors in a Programming Course
Integrating AI Tutors in a Programming Course
Iris Ma
A. Krone-Martins
Cristina V. Lopes
218
18
0
14 Jul 2024
The Language of Weather: Social Media Reactions to Weather Accounting
  for Climatic and Linguistic Baselines
The Language of Weather: Social Media Reactions to Weather Accounting for Climatic and Linguistic Baselines
James C. Young
Rudy Arthur
Hywel T. P. Williams
188
0
0
10 Jul 2024
Explaining Graph Neural Networks for Node Similarity on Graphs
Explaining Graph Neural Networks for Node Similarity on Graphs
Daniel Daza
C. Chu
T. Tran
Daria Stepanova
Michael Cochez
Paul T. Groth
291
3
0
10 Jul 2024
A Machine Learning and Explainable AI Framework Tailored for Unbalanced
  Experimental Catalyst Discovery
A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery
Parastoo Semnani
Mihail Bogojeski
Florian Bley
Zizheng Zhang
Qiong Wu
Thomas Kneib
Jan Herrmann
Christoph Weisser
Florina Patcas
Klaus-Robert Müller
127
17
0
10 Jul 2024
Explainable Metric Learning for Deflating Data Bias
Explainable Metric Learning for Deflating Data Bias
Emma Andrews
Prabhat Mishra
170
1
0
05 Jul 2024
From Data to Commonsense Reasoning: The Use of Large Language Models for
  Explainable AI
From Data to Commonsense Reasoning: The Use of Large Language Models for Explainable AI
Stefanie Krause
Frieder Stolzenburg
ELMLRM
236
5
0
04 Jul 2024
How Reliable and Stable are Explanations of XAI Methods?
How Reliable and Stable are Explanations of XAI Methods?
José Ribeiro
Lucas F. F. Cardoso
Vitor Santos
Eduardo Carvalho
Nikolas Carneiro
Ronnie Cley de Oliveira Alves
XAI
267
4
0
03 Jul 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
Jayneel Parekh
Quentin Bouniot
Pavlo Mozharovskyi
A. Newson
Florence dÁlché-Buc
SSL
577
2
0
01 Jul 2024
Towards Understanding Sensitive and Decisive Patterns in Explainable AI:
  A Case Study of Model Interpretation in Geometric Deep Learning
Towards Understanding Sensitive and Decisive Patterns in Explainable AI: A Case Study of Model Interpretation in Geometric Deep Learning
Jiajun Zhu
Siqi Miao
Rex Ying
Pan Li
288
2
0
30 Jun 2024
ShapG: new feature importance method based on the Shapley value
ShapG: new feature importance method based on the Shapley value
Chi Zhao
Jing Liu
Elena Parilina
FAtt
756
19
0
29 Jun 2024
A look under the hood of the Interactive Deep Learning Enterprise
  (No-IDLE)
A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE)
Daniel Sonntag
Michael Barz
Thiago S. Gouvêa
VLM
331
6
0
27 Jun 2024
Petal-X: Human-Centered Visual Explanations to Improve Cardiovascular
  Risk Communication
Petal-X: Human-Centered Visual Explanations to Improve Cardiovascular Risk Communication
Diego Rojo
Houda Lamqaddam
Lucija Gosak
K. Verbert
182
1
0
26 Jun 2024
CAT: Interpretable Concept-based Taylor Additive Models
CAT: Interpretable Concept-based Taylor Additive Models
Viet Duong
Qiong Wu
Zhengyi Zhou
Hongjue Zhao
Chenxiang Luo
Eric Zavesky
Huaxiu Yao
Huajie Shao
FAtt
413
6
0
25 Jun 2024
Enabling Regional Explainability by Automatic and Model-agnostic Rule
  Extraction
Enabling Regional Explainability by Automatic and Model-agnostic Rule Extraction
Yu Chen
Tianyu Cui
Alexander Capstick
Nan Fletcher-Loyd
Payam Barnaghi
284
1
0
25 Jun 2024
Tree-based variational inference for Poisson log-normal models
Tree-based variational inference for Poisson log-normal models
Alexandre Chaussard
Anna Bonnet
Elisabeth Gassiat
Sylvain Le Corff
375
3
0
25 Jun 2024
Data-driven Modeling in Metrology -- A Short Introduction, Current
  Developments and Future Perspectives
Data-driven Modeling in Metrology -- A Short Introduction, Current Developments and Future Perspectives
Linda-Sophie Schneider
Patrick Krauss
N. Schiering
Christopher Syben
Richard Schielein
Andreas Maier
AI4CE
230
10
0
24 Jun 2024
Fair Clustering: Critique, Caveats, and Future Directions
Fair Clustering: Critique, Caveats, and Future Directions
John Dickerson
Seyed-Alireza Esmaeili
Jamie Morgenstern
Claire Jie Zhang
FaML
231
3
0
22 Jun 2024
MOUNTAINEER: Topology-Driven Visual Analytics for Comparing Local
  Explanations
MOUNTAINEER: Topology-Driven Visual Analytics for Comparing Local Explanations
Parikshit Solunke
Vitória Guardieiro
Joao Rulff
Peter Xenopoulos
G. Chan
Brian Barr
L. G. Nonato
Claudio Silva
210
4
0
21 Jun 2024
Investigating the Role of Explainability and AI Literacy in User
  Compliance
Investigating the Role of Explainability and AI Literacy in User ComplianceSocial Science Research Network (SSRN), 2024
Niklas Kühl
Christian Meske
Maximilian Nitsche
Jodie Lobana
160
8
0
18 Jun 2024
A transparency-based action model implemented in a robotic physical
  trainer for improved HRI
A transparency-based action model implemented in a robotic physical trainer for improved HRI
Aharony Naama
Krakovski Maya
Edan Yael
83
2
0
16 Jun 2024
Enhancing Text Corpus Exploration with Post Hoc Explanations and
  Comparative Design
Enhancing Text Corpus Exploration with Post Hoc Explanations and Comparative Design
Michael Gleicher
Keaton Leppenan
Yunyu Bai
235
1
0
14 Jun 2024
Explainable AI for Comparative Analysis of Intrusion Detection Models
Explainable AI for Comparative Analysis of Intrusion Detection ModelsInternational Mediterranean Conference on Communications and Networking (MCN), 2024
Pap M. Corea
Yongxin Liu
Jian Wang
Shuteng Niu
Houbing Song
211
14
0
14 Jun 2024
Global AI Governance in Healthcare: A Cross-Jurisdictional Regulatory
  Analysis
Global AI Governance in Healthcare: A Cross-Jurisdictional Regulatory Analysis
Attrayee Chakraborty
M. Karhade
203
5
0
12 Jun 2024
Applications of Explainable artificial intelligence in Earth system
  science
Applications of Explainable artificial intelligence in Earth system science
Feini Huang
Shijie Jiang
Lu Li
Yongkun Zhang
Ye Zhang
Ruqing Zhang
Qingliang Li
Danxi Li
Wei Shangguan
Yongjiu Dai
261
7
0
12 Jun 2024
Underneath the Numbers: Quantitative and Qualitative Gender Fairness in
  LLMs for Depression Prediction
Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction
Micol Spitale
Jiaee Cheong
Hatice Gunes
343
7
0
12 Jun 2024
Evolutionary Computation and Explainable AI: A Roadmap to Transparent
  Intelligent Systems
Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems
Ryan Zhou
Jaume Bacardit
Alexander Brownlee
Stefano Cagnoni
Martin Fyvie
Giovanni Iacca
John Mccall
Niki van Stein
David Walker
Ting-Kuei Hu
265
1
0
12 Jun 2024
Unifying Interpretability and Explainability for Alzheimer's Disease
  Progression Prediction
Unifying Interpretability and Explainability for Alzheimer's Disease Progression Prediction
Raja Farrukh Ali
Stephanie Milani
John Woods
Emmanuel Adenij
Ayesha Farooq
Clayton Mansel
Jeffrey Burns
William Hsu
233
3
0
11 Jun 2024
Beyond Words: On Large Language Models Actionability in Mission-Critical
  Risk Analysis
Beyond Words: On Large Language Models Actionability in Mission-Critical Risk Analysis
Matteo Esposito
Francesco Palagiano
Valentina Lenarduzzi
Davide Taibi
522
18
0
11 Jun 2024
MambaLRP: Explaining Selective State Space Sequence Models
MambaLRP: Explaining Selective State Space Sequence Models
F. Jafari
G. Montavon
Klaus-Robert Müller
Oliver Eberle
Mamba
564
31
0
11 Jun 2024
Shaping History: Advanced Machine Learning Techniques for the Analysis
  and Dating of Cuneiform Tablets over Three Millennia
Shaping History: Advanced Machine Learning Techniques for the Analysis and Dating of Cuneiform Tablets over Three Millennia
Danielle Kapon
Michael Fire
S. Gordin
345
4
0
06 Jun 2024
Breast Cancer Diagnosis: A Comprehensive Exploration of Explainable Artificial Intelligence (XAI) Techniques
Breast Cancer Diagnosis: A Comprehensive Exploration of Explainable Artificial Intelligence (XAI) Techniques
Samita Bai
Sidra Nasir
Rizwan Ahmed Khan
Sheeraz Arif
Alexandre Meyer
246
15
0
01 Jun 2024
Enhancing Counterfactual Image Generation Using Mahalanobis Distance
  with Distribution Preferences in Feature Space
Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space
Yukai Zhang
Ao Xu
Zihao Li
Tieru Wu
264
2
0
31 May 2024
Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks
Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks
Chen Xiong
Xiangyu Qi
Pin-Yu Chen
Tsung-Yi Ho
AAML
436
37
0
30 May 2024
I See You: Teacher Analytics with GPT-4 Vision-Powered Observational
  Assessment
I See You: Teacher Analytics with GPT-4 Vision-Powered Observational Assessment
Unggi Lee
Yeil Jeong
Junbo Koh
Gyuri Byun
Yunseo Lee
Hyunwoong Lee
Seunmin Eun
Jewoong Moon
Cheolil Lim
Hyeoncheol Kim
149
8
0
28 May 2024
Explainable machine learning multi-label classification of Spanish legal
  judgements
Explainable machine learning multi-label classification of Spanish legal judgements
Francisco de Arriba-Pérez
Silvia García-Méndez
Francisco J. González Castaño
Jaime González-González
AILaw
215
24
0
27 May 2024
Interpretable Prognostics with Concept Bottleneck Models
Interpretable Prognostics with Concept Bottleneck Models
Florent Forest
Katharina Rombach
Olga Fink
245
13
0
27 May 2024
The AI-DEC: A Card-based Design Method for User-centered AI Explanations
The AI-DEC: A Card-based Design Method for User-centered AI Explanations
Christine P. Lee
M. Lee
Bilge Mutlu
HAI
280
11
0
26 May 2024
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks
Jacob Russin
Sam Whitman McGrath
Danielle J. Williams
AI4CE
657
9
0
24 May 2024
From Explainable to Interactive AI: A Literature Review on Current
  Trends in Human-AI Interaction
From Explainable to Interactive AI: A Literature Review on Current Trends in Human-AI Interaction
Muhammad Raees
Inge Meijerink
Ioanna Lykourentzou
Vassilis-Javed Khan
Konstantinos Papangelis
237
114
0
23 May 2024
Interpretable and Editable Programmatic Tree Policies for Reinforcement
  Learning
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning
Hector Kohler
Quentin Delfosse
R. Akrour
Kristian Kersting
Philippe Preux
396
18
0
23 May 2024
Concept Visualization: Explaining the CLIP Multi-modal Embedding Using
  WordNet
Concept Visualization: Explaining the CLIP Multi-modal Embedding Using WordNetIEEE International Joint Conference on Neural Network (IJCNN), 2024
Loris Giulivi
Giacomo Boracchi
252
2
0
23 May 2024
Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences
Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences
Takuya Hiraoka
Guanquan Wang
Takashi Onishi
Yoshimasa Tsuruoka
324
0
0
23 May 2024
A Transformer variant for multi-step forecasting of water level and
  hydrometeorological sensitivity analysis based on explainable artificial
  intelligence technology
A Transformer variant for multi-step forecasting of water level and hydrometeorological sensitivity analysis based on explainable artificial intelligence technology
Mingyu Liu
Nana Bao
Xingting Yan
Chenyang Li
Kai Peng
203
2
0
22 May 2024
Why do explanations fail? A typology and discussion on failures in XAI
Why do explanations fail? A typology and discussion on failures in XAI
Clara Bove
Thibault Laugel
Marie-Jeanne Lesot
C. Tijus
Marcin Detyniecki
285
9
0
22 May 2024
A machine learning framework for interpretable predictions in patient
  pathways: The case of predicting ICU admission for patients with symptoms of
  sepsis
A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis
Sandra Zilker
Sven Weinzierl
Mathias Kraus
Patrick Zschech
Martin Matzner
227
20
0
21 May 2024
Explainable offline automatic signature verifier to support forensic
  handwriting examiners
Explainable offline automatic signature verifier to support forensic handwriting examiners
Moisés Díaz
M. A. Ferrer-Ballester
G. Vessio
152
10
0
21 May 2024
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A
  Data-Morphology-based Counterfactual Generation Method for Trustworthy
  Artificial Intelligence
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A Data-Morphology-based Counterfactual Generation Method for Trustworthy Artificial Intelligence
José Daniel Pascual-Triana
Alberto Fernández
Javier Del Ser
Francisco Herrera
319
3
0
20 May 2024
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation
Iveta Becková
Stefan Pócos
Giulia Belgiovine
Marco Matarese
A. Sciutti
Carlo Mazzola
Carlo Mazzola
428
4
0
20 May 2024
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