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1912.09024
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Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations
19 December 2019
Andreas Holzinger
André M. Carrington
Heimo Muller
LRM
XAI
ELM
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Papers citing
"Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations"
50 / 73 papers shown
The Impact of Concept Explanations and Interventions on Human-Machine Collaboration
Jack Furby
Dan Cunnington
Dave Braines
Alun D. Preece
146
0
0
19 Oct 2025
WISCA: A Consensus-Based Approach to Harmonizing Interpretability in Tabular Datasets
A. Banegas-Luna
Horacio Pérez-Sánchez
Carlos Martínez-Cortés
173
0
0
06 Jun 2025
Explainable AI Systems Must Be Contestable: Here's How to Make It Happen
Catarina Moreira
Anna Palatkina
Dacia Braca
Dylan M. Walsh
Peter J. Leihn
Fang Chen
Nina C. Hubig
212
1
0
02 Jun 2025
Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest
Matteo Ceschin
Leonardo Arrighi
Luca Longo
Sylvio Barbon Junior
328
2
0
06 May 2025
Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability
Daniel Hendriks
Philipp Spitzer
Niklas Kühl
G. Satzger
396
4
0
22 Apr 2025
Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI Assistant
International Conference on Intelligent User Interfaces (IUI), 2025
Gaole He
Nilay Aishwarya
U. Gadiraju
442
41
0
29 Jan 2025
XEQ Scale for Evaluating XAI Experience Quality
A. Wijekoon
Nirmalie Wiratunga
D. Corsar
Kyle Martin
Ikechukwu Nkisi-Orji
Belén Díaz-Agudo
Derek Bridge
586
3
0
20 Jan 2025
Making Transparency Advocates: An Educational Approach Towards Better Algorithmic Transparency in Practice
AAAI Conference on Artificial Intelligence (AAAI), 2024
Andrew Bell
Julia Stoyanovich
437
1
0
19 Dec 2024
Simulation of Multi-Stage Attack and Defense Mechanisms in Smart Grids
Ömer Sen
Bozhidar Ivanov
Christian Kloos
Christoph Zol_
Philipp Lutat
Martin Henze
Andreas Ulbig
AI4CE
314
14
0
09 Dec 2024
APOLLO: A GPT-based tool to detect phishing emails and generate explanations that warn users
Giuseppe Desolda
Francesco Greco
Luca Viganò
226
20
0
10 Oct 2024
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks
Junlin Hou
Sicen Liu
Yequan Bie
Hongmei Wang
Andong Tan
Luyang Luo
Hao Chen
XAI
412
36
0
03 Oct 2024
Explainable AI: Definition and attributes of a good explanation for health AI
AI and Ethics (AI & Ethics), 2024
E. Kyrimi
S. McLachlan
Jared M Wohlgemut
Zane B Perkins
David A. Lagnado
W. Marsh
the ExAIDSS Expert Group
XAI
282
1
0
09 Sep 2024
Methodological Explainability Evaluation of an Interpretable Deep Learning Model for Post-Hepatectomy Liver Failure Prediction Incorporating Counterfactual Explanations and Layerwise Relevance Propagation: A Prospective In Silico Trial
Xian Zhong
Zohaib Salahuddin
Yi Chen
Henry C. Woodruff
H. Long
...
Lili Chen
Dongming Li
Xiaoyan Xie
Manxia Lin
Philippe Lambin
349
2
0
07 Aug 2024
Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis
Eduard Barbu
Marharytha Domnich
Raul Vicente
Nikos Sakkas
André Morim
247
1
0
20 May 2024
CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Models
Teodor Chiaburu
Frank Haußer
Felix Bießmann
310
5
0
23 Apr 2024
Majority Voting of Doctors Improves Appropriateness of AI Reliance in Pathology
H. Gu
Chunxu Yang
S. Magaki
Neda Zarrin-Khameh
N. Lakis
...
Todd M. Stevens
Sara L. Stone
Wenzhong Yan
Mohammad Haeri
Xiang Ánthony' Chen
458
4
0
06 Apr 2024
What Does Evaluation of Explainable Artificial Intelligence Actually Tell Us? A Case for Compositional and Contextual Validation of XAI Building Blocks
Kacper Sokol
Julia E. Vogt
307
20
0
19 Mar 2024
XAI-CF -- Examining the Role of Explainable Artificial Intelligence in Cyber Forensics
Shahid Alam
Zeynep Altıparmak
404
10
0
04 Feb 2024
How much informative is your XAI? A decision-making assessment task to objectively measure the goodness of explanations
Marco Matarese
F. Rea
A. Sciutti
181
1
0
07 Dec 2023
On the Multiple Roles of Ontologies in Explainable AI
Roberto Confalonieri
G. Guizzardi
176
12
0
08 Nov 2023
Using ChatGPT in HCI Research -- A Trioethnography
International Conference on Conversational User Interfaces (CUI), 2023
Smit Desai
Tanusree Sharma
Pratyasha Saha
247
19
0
22 Sep 2023
On the Definition of Appropriate Trust and the Tools that Come with it
Helena Löfström
200
3
0
21 Sep 2023
Distance-Aware eXplanation Based Learning
IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2023
Misgina Tsighe Hagos
Niamh Belton
Kathleen M. Curran
Brian Mac Namee
FAtt
198
1
0
11 Sep 2023
Decoding visual brain representations from electroencephalography through Knowledge Distillation and latent diffusion models
Matteo Ferrante
T. Boccato
S. Bargione
N. Toschi
DiffM
258
19
0
08 Sep 2023
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI)
Timo Speith
Markus Langer
231
16
0
26 Jul 2023
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI
Ulrike Kuhl
André Artelt
Barbara Hammer
343
7
0
13 Jun 2023
Can We Trust Explainable AI Methods on ASR? An Evaluation on Phoneme Recognition
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Xiao-lan Wu
P. Bell
A. Rajan
308
15
0
29 May 2023
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation
Information Fusion (Inf. Fusion), 2023
Natalia Díaz Rodríguez
Javier Del Ser
Mark Coeckelbergh
Marcos López de Prado
E. Herrera-Viedma
Francisco Herrera
XAI
390
528
0
02 May 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems
Niloy Ganguly
Dren Fazlija
Maryam Badar
M. Fisichella
Sandipan Sikdar
...
Koustav Rudra
Manolis Koubarakis
Gourab K. Patro
W. Z. E. Amri
Wolfgang Nejdl
CML
360
29
0
14 Feb 2023
Explainable Deep Reinforcement Learning: State of the Art and Challenges
ACM Computing Surveys (ACM CSUR), 2022
G. Vouros
XAI
617
136
0
24 Jan 2023
Explainable AI for Bioinformatics: Methods, Tools, and Applications
Md. Rezaul Karim
Tanhim Islam
Oya Beyan
Christoph Lange
Michael Cochez
Dietrich-Rebholz Schuhmann
Stefan Decker
428
130
0
25 Dec 2022
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
341
2
0
17 Dec 2022
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yao Rong
Tobias Leemann
Thai-trang Nguyen
Lisa Fiedler
Peizhu Qian
Vaibhav Unhelkar
Tina Seidel
Gjergji Kasneci
Enkelejda Kasneci
ELM
415
207
0
20 Oct 2022
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification
Knowledge-Based Systems (KBS), 2022
Adrien Bennetot
Gianni Franchi
Javier Del Ser
Raja Chatila
Natalia Díaz Rodríguez
AAML
258
32
0
26 Sep 2022
AI, Opacity, and Personal Autonomy
Philosophy & Technology (PT), 2022
Bram Vaassen
FaML
MLAU
216
64
0
25 Sep 2022
Explainable AI for clinical and remote health applications: a survey on tabular and time series data
Artificial Intelligence Review (Artif Intell Rev), 2022
Flavio Di Martino
Franca Delmastro
AI4TS
267
154
0
14 Sep 2022
On Specification-based Cyber-Attack Detection in Smart Grids
Ömer Sen
Maik Lühman
Florian Sprünken
Immanuel Hacker
Andreas Ulbig
Michael Andres
Martin Henze
205
8
0
09 Sep 2022
Segmentation-guided Domain Adaptation and Data Harmonization of Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent Generative Adversarial Networks
Shuo Chen
Da Ma
Sieun Lee
T. Yu
Gavin Xu
Donghuan Lu
K. Popuri
M. Ju
M. Sarunic
M. Beg
MedIm
264
15
0
31 Aug 2022
Think About the Stakeholders First! Towards an Algorithmic Transparency Playbook for Regulatory Compliance
Data & Policy (DP), 2022
Andrew Bell
O. Nov
Julia Stoyanovich
221
34
0
10 Jun 2022
Grounding Explainability Within the Context of Global South in XAI
Deepa Singh
M. Slupczynski
Ajit G. Pillai
Vinoth Pandian Sermuga Pandian
116
3
0
13 May 2022
Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Ulrike Kuhl
André Artelt
Barbara Hammer
302
29
0
11 May 2022
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
246
23
0
06 May 2022
A Meta Survey of Quality Evaluation Criteria in Explanation Methods
Helena Lofstrom
K. Hammar
Ulf Johansson
XAI
189
23
0
25 Mar 2022
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond
Journal of machine learning research (JMLR), 2022
Anna Hedström
Leander Weber
Dilyara Bareeva
Daniel G. Krakowczyk
Franz Motzkus
Wojciech Samek
Sebastian Lapuschkin
Marina M.-C. Höhne
XAI
ELM
449
245
0
14 Feb 2022
Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges
Shen Wang
M. Qureshi
Luis Miralles-Pechuán
Thien Huynh-The
Thippa Reddy Gadekallu
Madhusanka Liyanage
284
36
0
09 Dec 2021
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods
Zohaib Salahuddin
Henry C. Woodruff
A. Chatterjee
Philippe Lambin
317
438
0
01 Nov 2021
A Survey on Methods and Metrics for the Assessment of Explainability under the Proposed AI Act
International Conference on Legal Knowledge and Information Systems (JURIX), 2021
Francesco Sovrano
Salvatore Sapienza
M. Palmirani
F. Vitali
208
21
0
21 Oct 2021
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
Karim Lekadira
Richard Osuala
C. Gallin
Noussair Lazrak
Kaisar Kushibar
...
Nickolas Papanikolaou
Zohaib Salahuddin
Henry C. Woodruff
Philippe Lambin
L. Martí-Bonmatí
AI4TS
422
83
0
20 Sep 2021
An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability
Francesco Sovrano
F. Vitali
337
47
0
11 Sep 2021
Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability
Niamh Belton
I. Welaratne
Adil Dahlan
Ron Hearne
Misgina Tsighe Hagos
Aonghus Lawlor
Kathleen M. Curran
256
18
0
18 Aug 2021
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