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Explanation in Artificial Intelligence: Insights from the Social
  Sciences
v1v2v3 (latest)

Explanation in Artificial Intelligence: Insights from the Social Sciences

22 June 2017
Tim Miller
    XAI
ArXiv (abs)PDFHTML

Papers citing "Explanation in Artificial Intelligence: Insights from the Social Sciences"

50 / 1,336 papers shown
Regulating eXplainable Artificial Intelligence (XAI) May Harm Consumers
Regulating eXplainable Artificial Intelligence (XAI) May Harm ConsumersMarketing science (Providence, R.I.) (MSPRI), 2022
Behnam Mohammadi
Nikhil Malik
Timothy P. Derdenger
K. Srinivasan
202
6
0
07 Sep 2022
Explaining Machine Learning Models in Natural Conversations: Towards a
  Conversational XAI Agent
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
"Mama Always Had a Way of Explaining Things So I Could Understand'': A
  Dialogue Corpus for Learning to Construct Explanations
"Mama Always Had a Way of Explaining Things So I Could Understand'': A Dialogue Corpus for Learning to Construct ExplanationsInternational Conference on Computational Linguistics (COLING), 2022
Henning Wachsmuth
Milad Alshomary
186
14
0
06 Sep 2022
When Bioprocess Engineering Meets Machine Learning: A Survey from the
  Perspective of Automated Bioprocess Development
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess DevelopmentBiochemical engineering journal (Biochem. Eng. J.), 2022
Nghia Duong-Trung
Stefan Born
Jong Woo Kim
M. Schermeyer
Katharina Paulick
...
Thorben Werner
Randolf Scholz
Lars Schmidt-Thieme
Peter Neubauer
Ernesto Martinez
246
28
0
02 Sep 2022
INTERACTION: A Generative XAI Framework for Natural Language Inference
  Explanations
INTERACTION: A Generative XAI Framework for Natural Language Inference ExplanationsIEEE International Joint Conference on Neural Network (IJCNN), 2022
Jialin Yu
Alexandra I. Cristea
Anoushka Harit
Zhongtian Sun
O. Aduragba
Lei Shi
Noura Al Moubayed
173
12
0
02 Sep 2022
Model Transparency and Interpretability : Survey and Application to the
  Insurance Industry
Model Transparency and Interpretability : Survey and Application to the Insurance IndustryEuropean Actuarial Journal (EAJ), 2022
Dimitri Delcaillau
Antoine Ly
Alizé Papp
Franck Vermet
AI4CE
151
17
0
01 Sep 2022
Formalising the Robustness of Counterfactual Explanations for Neural
  Networks
Formalising the Robustness of Counterfactual Explanations for Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2022
Junqi Jiang
Francesco Leofante
Antonio Rago
Francesca Toni
AAML
300
30
0
31 Aug 2022
Interpreting Black-box Machine Learning Models for High Dimensional
  Datasets
Interpreting Black-box Machine Learning Models for High Dimensional DatasetsInternational Conference on Data Science and Advanced Analytics (DSAA), 2022
Md. Rezaul Karim
Md. Shajalal
Alexander Grass
Till Dohmen
S. Chala
Alexander Boden
C. Beecks
Stefan Decker
FAtt
351
20
0
29 Aug 2022
A Framework for Inherently Interpretable Optimization Models
A Framework for Inherently Interpretable Optimization ModelsEuropean Journal of Operational Research (EJOR), 2022
Marc Goerigk
Michael Hartisch
AI4CE
215
28
0
26 Aug 2022
Concept-Based Techniques for "Musicologist-friendly" Explanations in a
  Deep Music Classifier
Concept-Based Techniques for "Musicologist-friendly" Explanations in a Deep Music ClassifierInternational Society for Music Information Retrieval Conference (ISMIR), 2022
Francesco Foscarin
Katharina Hoedt
Verena Praher
A. Flexer
Gerhard Widmer
226
16
0
26 Aug 2022
Knowledge-based and Data-driven Reasoning and Learning for Ad Hoc
  Teamwork
Knowledge-based and Data-driven Reasoning and Learning for Ad Hoc Teamwork
Hasra Dodampegama
Mohan Sridharan
200
0
0
24 Aug 2022
Explainable AI for tailored electricity consumption feedback -- an
  experimental evaluation of visualizations
Explainable AI for tailored electricity consumption feedback -- an experimental evaluation of visualizationsEuropean Conference on Information Systems (ECIS), 2022
Jacqueline Wastensteiner
T. Weiß
Felix Haag
K. Hopf
131
12
0
24 Aug 2022
Augmented cross-selling through explainable AI -- a case from energy
  retailing
Augmented cross-selling through explainable AI -- a case from energy retailingEuropean Conference on Information Systems (ECIS), 2022
Felix Haag
K. Hopf
Pedro Menelau Vasconcelos
Thorsten Staake
162
6
0
24 Aug 2022
"Am I Private and If So, how Many?" - Communicating Privacy Guarantees
  of Differential Privacy with Risk Communication Formats
"Am I Private and If So, how Many?" - Communicating Privacy Guarantees of Differential Privacy with Risk Communication FormatsConference on Computer and Communications Security (CCS), 2022
Daniel Franzen
Saskia Nuñez von Voigt
Peter Sorries
Florian Tschorsch
Claudia Muller-Birn
192
26
0
23 Aug 2022
SoK: Explainable Machine Learning for Computer Security Applications
SoK: Explainable Machine Learning for Computer Security ApplicationsEuropean Symposium on Security and Privacy (Euro S&P), 2022
A. Nadeem
D. Vos
Clinton Cao
Luca Pajola
Simon Dieck
Robert Baumgartner
S. Verwer
365
63
0
22 Aug 2022
Searching for Structure in Unfalsifiable Claims
Searching for Structure in Unfalsifiable Claims
Peter Ebert Christensen
Frederik Warburg
Menglin Jia
Serge Belongie
HAI
137
4
0
19 Aug 2022
Transcending XAI Algorithm Boundaries through End-User-Inspired Design
Transcending XAI Algorithm Boundaries through End-User-Inspired Design
Weina Jin
Jianyu Fan
D. Gromala
Philippe Pasquier
Xiaoxiao Li
Ghassan Hamarneh
297
3
0
18 Aug 2022
Explaining Machine Learning DGA Detectors from DNS Traffic Data
Explaining Machine Learning DGA Detectors from DNS Traffic DataItalian Conference on Cybersecurity (IC), 2022
Giorgio Piras
Maura Pintor
Christian Scano
Battista Biggio
AAMLAI4CE
118
6
0
10 Aug 2022
Trustworthy Visual Analytics in Clinical Gait Analysis: A Case Study for
  Patients with Cerebral Palsy
Trustworthy Visual Analytics in Clinical Gait Analysis: A Case Study for Patients with Cerebral Palsy
A. Rind
D. Slijepcevic
Matthias Zeppelzauer
F. Unglaube
A. Kranzl
B. Horsak
152
4
0
10 Aug 2022
"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative
  Immersive Analytics
"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative Immersive Analytics
Michaela Benk
Raphael P. Weibel
Stefan Feuerriegel
Andrea Ferrario
138
4
0
09 Aug 2022
A Means-End Account of Explainable Artificial Intelligence
A Means-End Account of Explainable Artificial Intelligence
O. Buchholz
XAI
194
15
0
09 Aug 2022
An Empirical Evaluation of Predicted Outcomes as Explanations in
  Human-AI Decision-Making
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making
Johannes Jakubik
Jakob Schöffer
Vincent Hoge
Michael Vossing
Niklas Kühl
175
13
0
08 Aug 2022
Sampling Based On Natural Image Statistics Improves Local Surrogate
  Explainers
Sampling Based On Natural Image Statistics Improves Local Surrogate ExplainersBritish Machine Vision Conference (BMVC), 2022
Ricardo Kleinlein
Alexander Hepburn
Raúl Santos-Rodríguez
Fernando Fernández-Martínez
AAMLFAtt
111
3
0
08 Aug 2022
Planning and Scheduling in Digital Health with Answer Set Programming
Planning and Scheduling in Digital Health with Answer Set Programming
Marco Mochi
164
0
0
05 Aug 2022
PGX: A Multi-level GNN Explanation Framework Based on Separate Knowledge
  Distillation Processes
PGX: A Multi-level GNN Explanation Framework Based on Separate Knowledge Distillation Processes
Tien-Cuong Bui
Wen-Syan Li
S. Cha
194
2
0
05 Aug 2022
Leveraging Explanations in Interactive Machine Learning: An Overview
Leveraging Explanations in Interactive Machine Learning: An OverviewFrontiers in Artificial Intelligence (FAI), 2022
Stefano Teso
Öznur Alkan
Wolfgang Stammer
Elizabeth M. Daly
XAIFAttLRM
527
77
0
29 Jul 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of
  Deep Neural Networks
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks
Tilman Raukur
A. Ho
Stephen Casper
Dylan Hadfield-Menell
AAMLAI4CE
768
168
0
27 Jul 2022
A general-purpose method for applying Explainable AI for Anomaly
  Detection
A general-purpose method for applying Explainable AI for Anomaly DetectionInternational Syposium on Methodologies for Intelligent Systems (ISMIS), 2022
John Sipple
Abdou Youssef
179
18
0
23 Jul 2022
Deep neural network heatmaps capture Alzheimer's disease patterns
  reported in a large meta-analysis of neuroimaging studies
Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studiesNeuroImage (NeuroImage), 2022
Dingqian Wang
N. Honnorat
P. Fox
K. Ritter
Simon B. Eickhoff
S. Seshadri
Mohamad Habes
200
52
0
22 Jul 2022
Interpretable Boosted Decision Tree Analysis for the Majorana
  Demonstrator
Interpretable Boosted Decision Tree Analysis for the Majorana DemonstratorPhysical Review C (PRC), 2022
I. Arnquist
F. Avignone
A. Barabash
C. Barton
K. Bhimani
...
S. Vasilyev
J. Wilkerson
C. Wiseman
W. Xu
C.-H. Yu
170
3
0
21 Jul 2022
Learning Unsupervised Hierarchies of Audio Concepts
Learning Unsupervised Hierarchies of Audio ConceptsInternational Society for Music Information Retrieval Conference (ISMIR), 2022
Darius Afchar
Romain Hennequin
Vincent Guigue
211
4
0
21 Jul 2022
Constrained Prescriptive Trees via Column Generation
Constrained Prescriptive Trees via Column GenerationAAAI Conference on Artificial Intelligence (AAAI), 2022
Shivaram Subramanian
Wei-Ju Sun
Youssef Drissi
M. Ettl
201
12
0
20 Jul 2022
Alterfactual Explanations -- The Relevance of Irrelevance for Explaining
  AI Systems
Alterfactual Explanations -- The Relevance of Irrelevance for Explaining AI Systems
Silvan Mertes
Christina Karle
Tobias Huber
Katharina Weitz
Ruben Schlagowski
Elisabeth André
192
12
0
19 Jul 2022
Explainable Human-in-the-loop Dynamic Data-Driven Digital Twins
Explainable Human-in-the-loop Dynamic Data-Driven Digital TwinsDynamic Data Driven Application Systems (DDDAS), 2022
Nan Zhang
Rami Bahsoon
Nikos Tziritas
Georgios Theodoropoulos
212
11
0
19 Jul 2022
Explainable Deep Belief Network based Auto encoder using novel Extended
  Garson Algorithm
Explainable Deep Belief Network based Auto encoder using novel Extended Garson Algorithm
Satyam Kumar
V. Ravi
AI4CE
119
2
0
18 Jul 2022
Towards Explainability in NLP: Analyzing and Calculating Word Saliency
  through Word Properties
Towards Explainability in NLP: Analyzing and Calculating Word Saliency through Word Properties
Jialiang Dong
Zhitao Guan
Longfei Wu
Zijian Zhang
Xiaojiang Du
XAIAAMLFAttMILM
209
2
0
17 Jul 2022
Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a
  Jointly Trained Generative Latent Space
Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a Jointly Trained Generative Latent Space
Eric Yeh
Pedro Sequeira
Jesse Hostetler
Melinda Gervasio
OODCMLBDLOffRL
159
2
0
15 Jul 2022
Beware the Rationalization Trap! When Language Model Explainability
  Diverges from our Mental Models of Language
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
Policy Optimization with Sparse Global Contrastive Explanations
Policy Optimization with Sparse Global Contrastive Explanations
Jiayu Yao
S. Parbhoo
Weiwei Pan
Finale Doshi-Velez
OffRL
179
3
0
13 Jul 2022
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current
  Methods, Challenges, and Opportunities
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and OpportunitiesIEEE Access (IEEE Access), 2022
Subash Neupane
Jesse Ables
William Anderson
Sudip Mittal
Shahram Rahimi
I. Banicescu
Maria Seale
AAML
317
129
0
13 Jul 2022
On Computing Relevant Features for Explaining NBCs
On Computing Relevant Features for Explaining NBCs
Yacine Izza
Sasha Rubin
196
5
0
11 Jul 2022
Explaining Chest X-ray Pathologies in Natural Language
Explaining Chest X-ray Pathologies in Natural LanguageInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Maxime Kayser
Cornelius Emde
Oana-Maria Camburu
Guy Parsons
B. Papież
Thomas Lukasiewicz
MedIm
162
32
0
09 Jul 2022
Fidelity of Ensemble Aggregation for Saliency Map Explanations using
  Bayesian Optimization Techniques
Fidelity of Ensemble Aggregation for Saliency Map Explanations using Bayesian Optimization Techniques
Yannik Mahlau
Christian Nolde
FAtt
315
1
0
04 Jul 2022
Why we do need Explainable AI for Healthcare
Why we do need Explainable AI for Healthcare
Giovanni Cina
Tabea E. Rober
Rob Goedhart
Ilker Birbil
194
16
0
30 Jun 2022
Comparing and extending the use of defeasible argumentation with
  quantitative data in real-world contexts
Comparing and extending the use of defeasible argumentation with quantitative data in real-world contextsSocial Science Research Network (SSRN), 2022
Lucas Rizzo
Luca Longo
109
5
0
28 Jun 2022
"Explanation" is Not a Technical Term: The Problem of Ambiguity in XAI
"Explanation" is Not a Technical Term: The Problem of Ambiguity in XAI
Leilani H. Gilpin
Andrew R. Paley
M. A. Alam
Sarah Spurlock
Kristian J. Hammond
XAI
202
7
0
27 Jun 2022
Learning Rhetorical Structure Theory-based descriptions of observed
  behaviour
Learning Rhetorical Structure Theory-based descriptions of observed behaviour
L. Botelho
Luís Nunes
Ricardo Ribeiro
Rui J. Lopes
52
0
0
24 Jun 2022
Explanatory causal effects for model agnostic explanations
Explanatory causal effects for model agnostic explanations
Jiuyong Li
Ha Xuan Tran
T. Le
Lin Liu
Kui Yu
Jixue Liu
CML
155
1
0
23 Jun 2022
VisFIS: Visual Feature Importance Supervision with
  Right-for-the-Right-Reason Objectives
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason ObjectivesNeural Information Processing Systems (NeurIPS), 2022
Zhuofan Ying
Peter Hase
Joey Tianyi Zhou
LRM
295
15
0
22 Jun 2022
Connecting Algorithmic Research and Usage Contexts: A Perspective of
  Contextualized Evaluation for Explainable AI
Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AIAAAI Conference on Human Computation & Crowdsourcing (HCOMP), 2022
Q. V. Liao
Yunfeng Zhang
Ronny Luss
Finale Doshi-Velez
Amit Dhurandhar
255
91
0
22 Jun 2022
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