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The Pragmatic Turn in Explainable Artificial Intelligence (XAI)

The Pragmatic Turn in Explainable Artificial Intelligence (XAI)

Minds and Machines (MM), 2019
22 February 2020
Andrés Páez
ArXiv (abs)PDFHTML

Papers citing "The Pragmatic Turn in Explainable Artificial Intelligence (XAI)"

50 / 63 papers shown
Principled Design of Interpretable Automated Scoring for Large-Scale Educational Assessments
Principled Design of Interpretable Automated Scoring for Large-Scale Educational Assessments
Yunsung Kim
Mike Hardy
Joseph Tey
Candace Thille
Chris Piech
183
1
0
21 Nov 2025
Explainability of Algorithms
Explainability of Algorithms
Andrés Páez
144
0
0
19 Aug 2025
How can we trust opaque systems? Criteria for robust explanations in XAI
How can we trust opaque systems? Criteria for robust explanations in XAI
Florian J. Boge
Annika Schuster
AAML
176
0
0
18 Aug 2025
Direct Preference Optimization for Adaptive Concept-based Explanations
Direct Preference Optimization for Adaptive Concept-based Explanations
Jacopo Teneggi
Zhenzhen Wang
Paul H. Yi
Tianmin Shu
Jeremias Sulam
588
0
0
21 May 2025
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Sonal Allana
Mohan Kankanhalli
Rozita Dara
442
6
0
05 May 2025
In defence of post-hoc explanations in medical AI
In defence of post-hoc explanations in medical AI
Joshua Hatherley
Lauritz Munch
Jens Christian Bjerring
403
1
0
29 Apr 2025
Interpretable Machine Learning in Physics: A Review
Interpretable Machine Learning in Physics: A Review
Sebastian Johann Wetzel
Seungwoong Ha
Raban Iten
Miriam Klopotek
Ziming Liu
AI4CE
436
17
0
30 Mar 2025
A Mechanistic Explanatory Strategy for XAI
A Mechanistic Explanatory Strategy for XAI
Marcin Rabiza
395
3
0
02 Nov 2024
Understanding with toy surrogate models in machine learning
Understanding with toy surrogate models in machine learning
Andrés Páez
SyDa
385
6
0
08 Oct 2024
Machine Learning and Theory Ladenness -- A Phenomenological Account
Machine Learning and Theory Ladenness -- A Phenomenological Account
Alberto Termine
Emanuele Ratti
Alessandro Facchini
203
1
0
17 Sep 2024
Explainable AI Reloaded: Challenging the XAI Status Quo in the Era of
  Large Language Models
Explainable AI Reloaded: Challenging the XAI Status Quo in the Era of Large Language Models
Upol Ehsan
Mark O. Riedl
278
9
0
09 Aug 2024
Understanding XAI Through the Philosopher's Lens: A Historical
  Perspective
Understanding XAI Through the Philosopher's Lens: A Historical Perspective
Martina Mattioli
Antonio Emanuele Cinà
Marcello Pelillo
XAI
334
0
0
26 Jul 2024
Does GPT Really Get It? A Hierarchical Scale to Quantify Human vs AI's Understanding of Algorithms
Does GPT Really Get It? A Hierarchical Scale to Quantify Human vs AI's Understanding of Algorithms
Mirabel Reid
Santosh Vempala
ELM
373
0
0
20 Jun 2024
False Sense of Security in Explainable Artificial Intelligence (XAI)
False Sense of Security in Explainable Artificial Intelligence (XAI)
N. C. Chung
Hongkyou Chung
Hearim Lee
L. Brocki
Hongbeom Chung
George C. Dyer
535
4
0
06 May 2024
Mapping the Potential of Explainable AI for Fairness Along the AI
  Lifecycle
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
Luca Deck
Astrid Schomacker
Timo Speith
Jakob Schöffer
Lena Kästner
Niklas Kühl
605
5
0
29 Apr 2024
SIDEs: Separating Idealization from Deceptive Explanations in xAI
SIDEs: Separating Idealization from Deceptive Explanations in xAI
Emily Sullivan
343
6
0
25 Apr 2024
What Does Evaluation of Explainable Artificial Intelligence Actually
  Tell Us? A Case for Compositional and Contextual Validation of XAI Building
  Blocks
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
People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AI
People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AIInternational Conference on Human Factors in Computing Systems (CHI), 2024
Bálint Gyevnár
Stephanie Droop
Tadeg Quillien
Shay B. Cohen
Neil R. Bramley
Christopher G. Lucas
Stefano V. Albrecht
332
1
0
11 Mar 2024
Axe the X in XAI: A Plea for Understandable AI
Axe the X in XAI: A Plea for Understandable AI
Andrés Páez
277
2
0
01 Mar 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
340
12
0
20 Feb 2024
Information That Matters: Exploring Information Needs of People Affected
  by Algorithmic Decisions
Information That Matters: Exploring Information Needs of People Affected by Algorithmic Decisions
Timothée Schmude
Laura M. Koesten
Torsten Moller
Sebastian Tschiatschek
276
8
0
24 Jan 2024
Forms of Understanding for XAI-Explanations
Forms of Understanding for XAI-Explanations
Hendrik Buschmeier
H. M. Buhl
Friederike Kern
Angela Grimminger
Helen Beierling
...
Lutz Terfloth
Anna-Lisa Vollmer
Yu Wang
Annedore Wilmes
Britta Wrede
XAI
244
10
0
15 Nov 2023
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open
  Challenges and Interdisciplinary Research Directions
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research DirectionsInformation Fusion (Inf. Fusion), 2023
Luca Longo
Mario Brcic
Federico Cabitza
Jaesik Choi
Roberto Confalonieri
...
Andrés Páez
Wojciech Samek
Johannes Schneider
Timo Speith
Simone Stumpf
608
463
0
30 Oct 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
231
16
0
26 Jul 2023
Being Right for Whose Right Reasons?
Being Right for Whose Right Reasons?Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Terne Sasha Thorn Jakobsen
Laura Cabello
Anders Søgaard
242
19
0
01 Jun 2023
Challenges and Trends in User Trust Discourse in AI
Challenges and Trends in User Trust Discourse in AIMultimodal Technologies and Interaction (MTI), 2023
Sonia C. Sousa
J. Cravino
Paulo Martins
203
9
0
05 May 2023
Human-centered trust framework: An HCI perspective
Human-centered trust framework: An HCI perspectiveComputer (IEEE Computer), 2023
Sonia C. Sousa
J. Cravino
Paulo Martins
D. Lamas
225
13
0
05 May 2023
A System's Approach Taxonomy for User-Centred XAI: A Survey
A System's Approach Taxonomy for User-Centred XAI: A Survey
Ehsan Emamirad
Pouya Ghiasnezhad Omran
A. Haller
S. Gregor
264
1
0
06 Mar 2023
Understanding User Preferences in Explainable Artificial Intelligence: A
  Survey and a Mapping Function Proposal
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function ProposalACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023
M. Hashemi
Ali Darejeh
Francisco Cruz
467
4
0
07 Feb 2023
Towards the Linear Algebra Based Taxonomy of XAI Explanations
Towards the Linear Algebra Based Taxonomy of XAI Explanations
S. Nõmm
XAI
191
0
0
30 Jan 2023
Towards Human-Interpretable Prototypes for Visual Assessment of Image
  Classification Models
Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification ModelsVISIGRAPP (VISIGRAPP), 2022
Poulami Sinhamahapatra
Lena Heidemann
Maureen Monnet
Karsten Roscher
223
5
0
22 Nov 2022
Seamful XAI: Operationalizing Seamful Design in Explainable AI
Seamful XAI: Operationalizing Seamful Design in Explainable AI
Upol Ehsan
Q. V. Liao
Samir Passi
Mark O. Riedl
Hal Daumé
283
49
0
12 Nov 2022
Explainable Artificial Intelligence in Construction: The Content,
  Context, Process, Outcome Evaluation Framework
Explainable Artificial Intelligence in Construction: The Content, Context, Process, Outcome Evaluation Framework
Peter E. D. Love
J. Matthews
Weili Fang
Stuart Porter
Hanbin Luo
L. Ding
171
4
0
12 Nov 2022
Towards Human Cognition Level-based Experiment Design for Counterfactual
  Explanations (XAI)
Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI)
M. Nizami
Muhammad Yaseen Khan
Alessandro Bogliolo
283
3
0
31 Oct 2022
Machine Learning in Transaction Monitoring: The Prospect of xAI
Machine Learning in Transaction Monitoring: The Prospect of xAIHawaii International Conference on System Sciences (HICSS), 2022
Julie Gerlings
Ioanna D. Constantiou
223
5
0
14 Oct 2022
AI, Opacity, and Personal Autonomy
AI, Opacity, and Personal AutonomyPhilosophy & Technology (PT), 2022
Bram Vaassen
FaMLMLAU
216
64
0
25 Sep 2022
A Means-End Account of Explainable Artificial Intelligence
A Means-End Account of Explainable Artificial Intelligence
O. Buchholz
XAI
225
16
0
09 Aug 2022
Explaining Any ML Model? -- On Goals and Capabilities of XAI
Explaining Any ML Model? -- On Goals and Capabilities of XAIHumanities and Social Sciences Communications (HSSC), 2022
Moritz Renftle
Holger Trittenbach
M. Poznic
Reinhard Heil
ELM
218
13
0
28 Jun 2022
Human and technological infrastructures of fact-checking
Human and technological infrastructures of fact-checking
Prerna Juneja
Tanushree Mitra
HILMHAI
292
62
0
22 May 2022
Investigating Explainability of Generative AI for Code through
  Scenario-based Design
Investigating Explainability of Generative AI for Code through Scenario-based DesignInternational Conference on Intelligent User Interfaces (IUI), 2022
Jiao Sun
Q. V. Liao
Michael J. Muller
Mayank Agarwal
Stephanie Houde
Kartik Talamadupula
Justin D. Weisz
242
226
0
10 Feb 2022
Explainability Is in the Mind of the Beholder: Establishing the
  Foundations of Explainable Artificial Intelligence
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence
Kacper Sokol
Peter A. Flach
291
28
0
29 Dec 2021
A Survey on Interpretable Reinforcement Learning
A Survey on Interpretable Reinforcement LearningMachine-mediated learning (ML), 2021
Claire Glanois
Paul Weng
Matthieu Zimmer
Dong Li
Zhenxing Ge
Jianye Hao
Wulong Liu
OffRL
467
160
0
24 Dec 2021
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences
Q. V. Liao
R. Varshney
698
308
0
20 Oct 2021
Explanation as a process: user-centric construction of multi-level and
  multi-modal explanations
Explanation as a process: user-centric construction of multi-level and multi-modal explanations
Bettina Finzel
David E. Tafler
Stephan Scheele
Ute Schmid
258
16
0
07 Oct 2021
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI
Upol Ehsan
Mark O. Riedl
XAISILM
329
88
0
26 Sep 2021
Cases for Explainable Software Systems:Characteristics and Examples
Cases for Explainable Software Systems:Characteristics and Examples
Mersedeh Sadeghi
V. Klös
Andreas Vogelsang
146
23
0
12 Aug 2021
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations
The Who in XAI: How AI Background Shapes Perceptions of AI ExplanationsInternational Conference on Human Factors in Computing Systems (CHI), 2021
Upol Ehsan
Samir Passi
Q. V. Liao
Larry Chan
I-Hsiang Lee
Michael J. Muller
Mark O. Riedl
342
123
0
28 Jul 2021
Roadmap of Designing Cognitive Metrics for Explainable Artificial
  Intelligence (XAI)
Roadmap of Designing Cognitive Metrics for Explainable Artificial Intelligence (XAI)
J. H. Hsiao
H. Ngai
Luyu Qiu
Yi Yang
Caleb Chen Cao
XAI
236
32
0
20 Jul 2021
Explanatory Pluralism in Explainable AI
Explanatory Pluralism in Explainable AIInternational Cross-Domain Conference on Machine Learning and Knowledge Extraction (CD-MAKE), 2021
Yiheng Yao
XAI
189
6
0
26 Jun 2021
Explainable AI, but explainable to whom?
Explainable AI, but explainable to whom?
Julie Gerlings
Millie Søndergaard Jensen
Arisa Shollo
233
53
0
10 Jun 2021
12
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