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1712.00547
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Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences
2 December 2017
Tim Miller
Piers Howe
L. Sonenberg
AI4TS
SyDa
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Papers citing
"Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences"
50 / 127 papers shown
Can AI Explanations Make You Change Your Mind?
Laura Spillner
Rachel Ringe
R. Porzel
Rainer Malaka
113
0
0
11 Aug 2025
A Feature Engineering Approach for Business Impact-Oriented Failure Detection in Distributed Instant Payment Systems
Lorenzo Porcelli
110
0
0
07 Aug 2025
Accessibility Scout: Personalized Accessibility Scans of Built Environments
ACM Symposium on User Interface Software and Technology (UIST), 2025
William Huang
Xia Su
Jon E. Froehlich
Yang Zhang
191
1
0
31 Jul 2025
Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations
Laura Spillner
Nima Zargham
M. Pomarlan
R. Porzel
Rainer Malaka
146
0
0
29 Jul 2025
Beware of "Explanations" of AI
David Martens
Galit Shmueli
Theodoros Evgeniou
Kevin Bauer
Christian Janiesch
...
Claudia Perlich
Wouter Verbeke
Alona Zharova
Patrick Zschech
F. Provost
344
4
0
09 Apr 2025
Fewer Than 1% of Explainable AI Papers Validate Explainability with Humans
Ashley Suh
Isabelle Hurley
Nora Smith
H. Siu
162
7
0
13 Mar 2025
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges
Dominik Kowald
S. Scher
Viktoria Pammer-Schindler
Peter Müllner
Kerstin Waxnegger
...
Andreas Truegler
Eduardo E. Veas
Roman Kern
Tomislav Nad
Simone Kopeinik
250
29
0
15 Nov 2024
GraphXAIN: Narratives to Explain Graph Neural Networks
Mateusz Cedro
David Martens
511
5
0
04 Nov 2024
A Mechanistic Explanatory Strategy for XAI
Marcin Rabiza
316
3
0
02 Nov 2024
Explainable and Human-Grounded AI for Decision Support Systems: The Theory of Epistemic Quasi-Partnerships
John Dorsch
Maximilian Moll
246
4
0
23 Sep 2024
Beyond Model Interpretability: Socio-Structural Explanations in Machine Learning
Ai & Society (AS), 2024
Andrew Smart
Atoosa Kasirzadeh
275
10
0
05 Sep 2024
Evaluating graph-based explanations for AI-based recommender systems
Simon Delarue
Astrid Bertrand
Tiphaine Viard
194
0
0
17 Jul 2024
STL: Still Tricky Logic (for System Validation, Even When Showing Your Work)
Isabelle Hurley
Rohan R. Paleja
Ashley Suh
Jaime D. Peña
H. Siu
226
5
0
02 Jul 2024
An Actionability Assessment Tool for Explainable AI
Ronal Singh
Tim Miller
L. Sonenberg
Eduardo Velloso
F. Vetere
Piers Howe
Paul Dourish
141
3
0
19 Jun 2024
CoLa-DCE -- Concept-guided Latent Diffusion Counterfactual Explanations
Franz Motzkus
Christian Hellert
Ute Schmid
DiffM
224
3
0
03 Jun 2024
Why do explanations fail? A typology and discussion on failures in XAI
Clara Bove
Thibault Laugel
Marie-Jeanne Lesot
C. Tijus
Marcin Detyniecki
271
8
0
22 May 2024
Fiper: a Visual-based Explanation Combining Rules and Feature Importance
Eleonora Cappuccio
D. Fadda
Rosa Lanzilotti
Salvatore Rinzivillo
FAtt
148
1
0
25 Apr 2024
How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law
Benjamin Frész
Elena Dubovitskaya
Danilo Brajovic
Marco F. Huber
Christian Horz
315
16
0
19 Apr 2024
How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey
Thu Nguyen
Alessandro Canossa
Jichen Zhu
191
10
0
21 Mar 2024
Trust in AI: Progress, Challenges, and Future Directions
Humanities and Social Sciences Communications (HSSC), 2024
S. Afroogh
Ali Akbari
Evan Malone
Mohammadali Kargar
Hananeh Alambeigi
AI4TS
295
167
0
12 Mar 2024
User Characteristics in Explainable AI: The Rabbit Hole of Personalization?
Robert Nimmo
Marios Constantinides
Ke Zhou
Daniele Quercia
Simone Stumpf
190
24
0
29 Feb 2024
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology
Nur Yildirim
Hannah Richardson
Maria T. A. Wetscherek
Junaid Bajwa
Joseph Jacob
...
Ozan Oktay
M. Lungren
Javier Alvarez-Valle
A. Nori
Anja Thieme
LM&MA
207
88
0
22 Feb 2024
Is Machine Learning Unsafe and Irresponsible in Social Sciences? Paradoxes and Reconsidering from Recidivism Prediction Tasks
Asian journal of Criminology (Asian J Criminol), 2023
Jianhong Liu
D. Li
194
4
0
11 Nov 2023
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions
Information Fusion (Inf. Fusion), 2023
Luca Longo
Mario Brcic
Federico Cabitza
Jaesik Choi
Roberto Confalonieri
...
Andrés Páez
Wojciech Samek
Johannes Schneider
Timo Speith
Simone Stumpf
502
375
0
30 Oct 2023
An Information Bottleneck Characterization of the Understanding-Workload Tradeoff
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Lindsay M. Sanneman
Mycal Tucker
Julie A. Shah
242
7
0
11 Oct 2023
Tell Me a Story! Narrative-Driven XAI with Large Language Models
Decision Support Systems (DSS), 2023
David Martens
James Hinns
Camille Dams
Mark Vergouwen
Theodoros Evgeniou
291
18
0
29 Sep 2023
Explainable AI applications in the Medical Domain: a systematic review
Nicoletta Prentzas
A. Kakas
Constantinos S. Pattichis
269
19
0
10 Aug 2023
Sources of Opacity in Computer Systems: Towards a Comprehensive Taxonomy
Sara Mann
Barnaby Crook
Lena Kästner
Astrid Schomacker
Timo Speith
182
7
0
26 Jul 2023
Towards Interpretability in Audio and Visual Affective Machine Learning: A Review
IEEE Transactions on Affective Computing (IEEE Trans. Affective Comput.), 2023
David S. Johnson
Olya Hakobyan
Hanna Drimalla
143
3
0
15 Jun 2023
Reason to explain: Interactive contrastive explanations (REASONX)
Laura State
Salvatore Ruggieri
Franco Turini
LRM
309
2
0
29 May 2023
STL: Surprisingly Tricky Logic (for System Validation)
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
H. Siu
Kevin J. Leahy
Makai Mann
138
7
0
26 May 2023
The Case Against Explainability
Hofit Wasserman Rozen
N. Elkin-Koren
Ran Gilad-Bachrach
AILaw
ELM
158
3
0
20 May 2023
ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing
Hua Shen
Huang Chieh-Yang
Tongshuang Wu
Ting-Hao 'Kenneth' Huang
467
46
0
16 May 2023
Explaining Model Confidence Using Counterfactuals
AAAI Conference on Artificial Intelligence (AAAI), 2023
Thao Le
Tim Miller
Ronal Singh
L. Sonenberg
135
6
0
10 Mar 2023
Invisible Users: Uncovering End-Users' Requirements for Explainable AI via Explanation Forms and Goals
Weina Jin
Jianyu Fan
D. Gromala
Philippe Pasquier
Ghassan Hamarneh
266
9
0
10 Feb 2023
Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of Communication
B. Keenan
Kacper Sokol
380
9
0
07 Feb 2023
Five policy uses of algorithmic transparency and explainability
Matthew R. O’Shaughnessy
365
1
0
06 Feb 2023
Hypothesis Testing and Machine Learning: Interpreting Variable Effects in Deep Artificial Neural Networks using Cohen's f2
Applied Soft Computing (Appl. Soft Comput.), 2023
Wolfgang Messner
CML
201
17
0
02 Feb 2023
SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability
ARES (ARES), 2022
Dipkamal Bhusal
Rosalyn Shin
Ajay Ashok Shewale
M. K. Veerabhadran
Michael Clifford
Sara Rampazzi
Nidhi Rastogi
FAtt
AAML
287
15
0
31 Oct 2022
Machine Learning in Transaction Monitoring: The Prospect of xAI
Hawaii International Conference on System Sciences (HICSS), 2022
Julie Gerlings
Ioanna D. Constantiou
121
4
0
14 Oct 2022
What Do End-Users Really Want? Investigation of Human-Centered XAI for Mobile Health Apps
Katharina Weitz
Alexander Zellner
Elisabeth André
120
6
0
07 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
334
151
0
02 Oct 2022
Explainable Reinforcement Learning on Financial Stock Trading using SHAP
Satyam Kumar
Mendhikar Vishal
V. Ravi
AIFin
158
9
0
18 Aug 2022
Transcending XAI Algorithm Boundaries through End-User-Inspired Design
Weina Jin
Jianyu Fan
D. Gromala
Philippe Pasquier
Xiaoxiao Li
Ghassan Hamarneh
301
3
0
18 Aug 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
265
91
0
22 Jun 2022
Understanding a Robot's Guiding Ethical Principles via Automatically Generated Explanations
Benjamin Krarup
F. Lindner
Senka Krivic
D. Long
104
3
0
20 Jun 2022
Improving Model Understanding and Trust with Counterfactual Explanations of Model Confidence
Thao Le
Tim Miller
Ronal Singh
L. Sonenberg
157
11
0
06 Jun 2022
"If it didn't happen, why would I change my decision?": How Judges Respond to Counterfactual Explanations for the Public Safety Assessment
AAAI Conference on Human Computation & Crowdsourcing (HCOMP), 2022
Yaniv Yacoby
Ben Green
Christopher L. Griffin
Finale Doshi Velez
348
18
0
11 May 2022
Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Harmanpreet Kaur
Eytan Adar
Eric Gilbert
Cliff Lampe
127
69
0
10 May 2022
Explain yourself! Effects of Explanations in Human-Robot Interaction
IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2022
Jakob Ambsdorf
A. Munir
Yiyao Wei
Klaas Degkwitz
Harm Matthias Harms
...
Kyra Ahrens
Dennis Becker
Erik Strahl
Tom Weber
S. Wermter
183
11
0
09 Apr 2022
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