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Human-Centered Explainable AI (XAI): From Algorithms to User Experiences
20 October 2021
Q. V. Liao
R. Varshney
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Papers citing
"Human-Centered Explainable AI (XAI): From Algorithms to User Experiences"
21 / 121 papers shown
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
362
164
0
20 Oct 2022
On the Influence of Cognitive Styles on Users' Understanding of Explanations
International Conference on Interaction Sciences (ICIS), 2022
Lara Riefle
Patrick Hemmer
Carina Benz
Michael Vossing
Jannik Pries
207
8
0
05 Oct 2022
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction
International Conference on Human Factors in Computing Systems (CHI), 2022
Sunnie S. Y. Kim
E. A. Watkins
Olga Russakovsky
Ruth C. Fong
Andrés Monroy-Hernández
327
150
0
02 Oct 2022
Explaining Machine Learning Models in Natural Conversations: Towards a Conversational XAI Agent
Van Bach Nguyen
Jorg Schlotterer
C. Seifert
AILaw
170
18
0
06 Sep 2022
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research
IEEE Access (IEEE Access), 2022
Zhibo Zhang
H. A. Hamadi
Ernesto Damiani
C. Yeun
Fatma Taher
AAML
259
262
0
31 Aug 2022
Transcending XAI Algorithm Boundaries through End-User-Inspired Design
Weina Jin
Jianyu Fan
D. Gromala
Philippe Pasquier
Xiaoxiao Li
Ghassan Hamarneh
298
3
0
18 Aug 2022
Leveraging Explanations in Interactive Machine Learning: An Overview
Frontiers in Artificial Intelligence (FAI), 2022
Stefano Teso
Öznur Alkan
Wolfgang Stammer
Elizabeth M. Daly
XAI
FAtt
LRM
527
78
0
29 Jul 2022
Beware the Rationalization Trap! When Language Model Explainability Diverges from our Mental Models of Language
Rita Sevastjanova
Mennatallah El-Assady
LRM
237
10
0
14 Jul 2022
From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process
Lukas Klein
Mennatallah El-Assady
Paul F. Jäger
CML
177
2
0
11 Jul 2022
Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI
AAAI Conference on Human Computation & Crowdsourcing (HCOMP), 2022
Q. V. Liao
Yunfeng Zhang
Ronny Luss
Finale Doshi-Velez
Amit Dhurandhar
260
91
0
22 Jun 2022
A Methodology and Software Architecture to Support Explainability-by-Design
T. D. Huynh
Niko Tsakalakis
Ayah Helal
Sophie Stalla-Bourdillon
Luc Moreau
168
5
0
13 Jun 2022
Mediators: Conversational Agents Explaining NLP Model Behavior
Nils Feldhus
A. Ravichandran
Sebastian Möller
261
17
0
13 Jun 2022
A Design Space for Explainable Ranking and Ranking Models
Eurographics Conference on Visualization (EuroVis), 2022
I. A. Hazwani
J. Schmid
M. Sachdeva
J. Bernard
XAI
118
4
0
27 May 2022
Deletion and Insertion Tests in Regression Models
Journal of machine learning research (JMLR), 2022
Naofumi Hama
Masayoshi Mase
Art B. Owen
325
12
0
25 May 2022
On the Effect of Information Asymmetry in Human-AI Teams
Patrick Hemmer
Max Schemmer
Niklas Kühl
Michael Vossing
G. Satzger
189
25
0
03 May 2022
Designing for Responsible Trust in AI Systems: A Communication Perspective
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Q. V. Liao
S. Sundar
184
137
0
29 Apr 2022
Investigating Explainability of Generative AI for Code through Scenario-based Design
International Conference on Intelligent User Interfaces (IUI), 2022
Jiao Sun
Q. V. Liao
Michael J. Muller
Mayank Agarwal
Stephanie Houde
Kartik Talamadupula
Justin D. Weisz
198
207
0
10 Feb 2022
Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Sebastian Bordt
Michèle Finck
Eric Raidl
U. V. Luxburg
AILaw
373
97
0
25 Jan 2022
HIVE: Evaluating the Human Interpretability of Visual Explanations
European Conference on Computer Vision (ECCV), 2021
Sunnie S. Y. Kim
Nicole Meister
V. V. Ramaswamy
Ruth C. Fong
Olga Russakovsky
388
131
0
06 Dec 2021
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI
Upol Ehsan
Mark O. Riedl
XAI
SILM
193
78
0
26 Sep 2021
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
2.5K
19,805
0
16 Feb 2016
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