Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1706.07269
Cited By
v1
v2
v3 (latest)
Explanation in Artificial Intelligence: Insights from the Social Sciences
22 June 2017
Tim Miller
XAI
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Explanation in Artificial Intelligence: Insights from the Social Sciences"
50 / 1,336 papers shown
Explainable Decision Making with Lean and Argumentative Explanations
Xiuyi Fan
Francesca Toni
259
1
0
18 Jan 2022
On some Foundational Aspects of Human-Centered Artificial Intelligence
Luciano Serafini
Raul Barbosa
Jasmin Grosinger
Luca Iocchi
Christian Napoli
...
A. Saffiotti
Teresa Scantamburlo
Peter Schueller
P. Traverso
Javier Vázquez-Salceda
177
1
0
29 Dec 2021
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence
Kacper Sokol
Peter A. Flach
245
27
0
29 Dec 2021
Towards Relatable Explainable AI with the Perceptual Process
International Conference on Human Factors in Computing Systems (CHI), 2021
Wencan Zhang
Brian Y. Lim
AAML
XAI
268
71
0
28 Dec 2021
A Survey on Interpretable Reinforcement Learning
Machine-mediated learning (ML), 2021
Claire Glanois
Paul Weng
Matthieu Zimmer
Dong Li
Zhenxing Ge
Jianye Hao
Wulong Liu
OffRL
330
146
0
24 Dec 2021
AcME -- Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box
Expert systems with applications (ESWA), 2021
David Dandolo
Chiara Masiero
Mattia Carletti
Davide Dalle Pezze
Gian Antonio Susto
FAtt
LRM
177
29
0
23 Dec 2021
More Than Words: Towards Better Quality Interpretations of Text Classifiers
Muhammad Bilal Zafar
Philipp Schmidt
Michele Donini
Cédric Archambeau
F. Biessmann
Sanjiv Ranjan Das
K. Kenthapadi
FAtt
209
6
0
23 Dec 2021
Human-AI Collaboration for UX Evaluation: Effects of Explanation and Synchronization
Mingming Fan
Xianyou Yang
Tsz Tung Yu
Vera Q. Liao
J. Zhao
113
1
0
23 Dec 2021
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions
IEEE Access (IEEE Access), 2021
Shahin Atakishiyev
Mohammad Salameh
Hengshuai Yao
Randy Goebel
645
202
0
21 Dec 2021
Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents
Jasmina Gajcin
Rahul Nair
Tejaswini Pedapati
Radu Marinescu
Elizabeth M. Daly
Ivana Dusparic
OffRL
136
14
0
17 Dec 2021
Towards Explainable Artificial Intelligence in Banking and Financial Services
Ambreen Hanif
117
12
0
14 Dec 2021
Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomaly Detection
Nirmal Sobha Kartha
Clément Gautrais
Vincent Vercruyssen
87
7
0
13 Dec 2021
Ethical and social risks of harm from Language Models
Laura Weidinger
John F. J. Mellor
Maribeth Rauh
Conor Griffin
J. Uesato
...
Lisa Anne Hendricks
William S. Isaac
Sean Legassick
G. Irving
Iason Gabriel
PILM
538
1,307
0
08 Dec 2021
Developing a Trusted Human-AI Network for Humanitarian Benefit
S. Devitt
J. Scholz
Timo Schless
L. Lewis
91
12
0
07 Dec 2021
On Two XAI Cultures: A Case Study of Non-technical Explanations in Deployed AI System
Helen Jiang
Erwen Senge
144
11
0
02 Dec 2021
Multi-objective Explanations of GNN Predictions
Yifei Liu
Chao Chen
Yazheng Liu
Xi Zhang
Sihong Xie
197
18
0
29 Nov 2021
Exploring Business Process Deviance with Sequential and Declarative Patterns
Giacomo Bergami
Chiara Di Francescomarino
Chiara Ghidini
F. Maggi
Joonas Puura
102
8
0
24 Nov 2021
Demystifying Ten Big Ideas and Rules Every Fire Scientist & Engineer Should Know About Blackbox, Whitebox & Causal Artificial Intelligence
M. Z. Naser
AI4CE
58
5
0
23 Nov 2021
Explainable Deep Image Classifiers for Skin Lesion Diagnosis
C. Metta
Andrea Beretta
Riccardo Guidotti
Yuan Yin
Patrick Gallinari
S. Rinzivillo
F. Giannotti
145
6
0
22 Nov 2021
A Unified and Fast Interpretable Model for Predictive Analytics
Expert systems with applications (ESWA), 2021
Yunan Zhu
Rui Ding
Tianchi Qiao
Zhitao Zou
Shi Han
Dongmei Zhang
101
4
0
16 Nov 2021
Randomized Classifiers vs Human Decision-Makers: Trustworthy AI May Have to Act Randomly and Society Seems to Accept This
Gábor Erdélyi
Olivia J. Erdélyi
V. Estivill-Castro
FaML
85
3
0
15 Nov 2021
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities
Knowledge-Based Systems (KBS), 2021
Waddah Saeed
C. Omlin
XAI
272
582
0
11 Nov 2021
Counterfactual Explanations for Models of Code
Jürgen Cito
Işıl Dillig
V. Murali
S. Chandra
AAML
LRM
161
57
0
10 Nov 2021
Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning
American Control Conference (ACC), 2021
Sindre Benjamin Remman
Inga Strümke
A. Lekkas
CML
164
10
0
04 Nov 2021
Characterizing Human Explanation Strategies to Inform the Design of Explainable AI for Building Damage Assessment
Donghoon Shin
Sachin Grover
Kenneth Holstein
Adam Perer
109
4
0
04 Nov 2021
On the Effectiveness of Interpretable Feedforward Neural Network
IEEE International Joint Conference on Neural Network (IJCNN), 2021
Miles Q. Li
Benjamin C. M. Fung
Adel Abusitta
FaML
AI4CE
100
5
0
03 Nov 2021
Exploring Explainable AI in the Financial Sector: Perspectives of Banks and Supervisory Authorities
O. Kuiper
M. V. D. Berg
Joost van den Burgt
S. Leijnen
129
30
0
03 Nov 2021
Interpretable and Explainable Machine Learning for Materials Science and Chemistry
Accounts of Materials Research (Acc. Mater. Res.), 2021
Felipe Oviedo
J. L. Ferres
Tonio Buonassisi
K. Butler
AI4CE
301
228
0
01 Nov 2021
JEDAI: A System for Skill-Aligned Explainable Robot Planning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2021
Naman Shah
Pulkit Verma
Trevor Angle
Siddharth Srivastava
301
11
0
31 Oct 2021
Counterfactual Shapley Additive Explanations
Emanuele Albini
Jason Long
Danial Dervovic
Daniele Magazzeni
472
65
0
27 Oct 2021
Generating artificial texts as substitution or complement of training data
International Conference on Language Resources and Evaluation (LREC), 2021
Vincent Claveau
Antoine Chaffin
Ewa Kijak
218
10
0
25 Oct 2021
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences
Q. V. Liao
R. Varshney
549
283
0
20 Oct 2021
Interpreting Deep Learning Models in Natural Language Processing: A Review
Xiaofei Sun
Diyi Yang
Xiaoya Li
Tianwei Zhang
Yuxian Meng
Han Qiu
Guoyin Wang
Eduard H. Hovy
Jiwei Li
211
53
0
20 Oct 2021
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining
Andreas Madsen
Nicholas Meade
Vaibhav Adlakha
Siva Reddy
367
42
0
15 Oct 2021
A New Approach for Interpretability and Reliability in Clinical Risk Prediction: Acute Coronary Syndrome Scenario
Francisco Valente
J. Henriques
Simão Paredes
Teresa Rocha
Paulo de Carvalho
João Morais
OOD
162
27
0
15 Oct 2021
Using Psychological Characteristics of Situations for Social Situation Comprehension in Support Agents
Ilir Kola
Catholijn M. Jonker
M. Birna van Riemsdijk
188
6
0
15 Oct 2021
Making Document-Level Information Extraction Right for the Right Reasons
Liyan Tang
Dhruv Rajan
S. Mohan
Abhijeet Pradhan
R. Bryan
Greg Durrett
149
2
0
14 Oct 2021
Retrieval-guided Counterfactual Generation for QA
Bhargavi Paranjape
Matthew Lamm
Ian Tenney
303
37
0
14 Oct 2021
Open Player Modeling: Empowering Players through Data Transparency
Jichen Zhu
M. S. El-Nasr
154
13
0
12 Oct 2021
Explanation as a process: user-centric construction of multi-level and multi-modal explanations
Bettina Finzel
David E. Tafler
Stephan Scheele
Ute Schmid
170
15
0
07 Oct 2021
Empowering Local Communities Using Artificial Intelligence
Yen-Chia Hsu
Ting-Hao 'Kenneth' Huang
Himanshu Verma
A. Mauri
I. Nourbakhsh
A. Bozzon
254
52
0
05 Oct 2021
DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Models
Gregor Betz
Kyle Richardson
251
9
0
04 Oct 2021
Trustworthy AI: From Principles to Practices
Yue Liu
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
473
520
0
04 Oct 2021
Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces
Francesco Sovrano
F. Vitali
221
15
0
02 Oct 2021
Making Things Explainable vs Explaining: Requirements and Challenges under the GDPR
Francesco Sovrano
F. Vitali
M. Palmirani
145
14
0
02 Oct 2021
Critical Empirical Study on Black-box Explanations in AI
Jean-Marie John-Mathews
120
6
0
29 Sep 2021
Trustworthy AI and Robotics and the Implications for the AEC Industry: A Systematic Literature Review and Future Potentials
Automation in Construction (AC), 2021
Newsha Emaminejad
Reza Akhavian
181
65
0
27 Sep 2021
A User-Centred Framework for Explainable Artificial Intelligence in Human-Robot Interaction
Marco Matarese
F. Rea
A. Sciutti
176
18
0
27 Sep 2021
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI
Upol Ehsan
Mark O. Riedl
XAI
SILM
178
77
0
26 Sep 2021
Explanation Strategies as an Empirical-Analytical Lens for Socio-Technical Contextualization of Machine Learning Interpretability
J. Benjamin
C. Kinkeldey
Claudia Muller-Birn
Tim Korjakow
Eva-Maria Herbst
204
11
0
24 Sep 2021
Previous
1
2
3
...
16
17
18
...
25
26
27
Next
