Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1706.07269
Cited By
Explanation in Artificial Intelligence: Insights from the Social Sciences
22 June 2017
Tim Miller
XAI
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Explanation in Artificial Intelligence: Insights from the Social Sciences"
50 / 1,242 papers shown
Title
An Investigation of Interpretability Techniques for Deep Learning in Predictive Process Analytics
Catarina Moreira
Renuka Sindhgatta
Chun Ouyang
P. Bruza
Andreas Wichert
28
4
0
21 Feb 2020
Interpretability of machine learning based prediction models in healthcare
Gregor Stiglic
Primož Kocbek
Nino Fijačko
Marinka Zitnik
K. Verbert
Leona Cilar
AI4CE
35
374
0
20 Feb 2020
Algorithmic Recourse: from Counterfactual Explanations to Interventions
Amir-Hossein Karimi
Bernhard Schölkopf
Isabel Valera
CML
24
337
0
14 Feb 2020
A Hierarchy of Limitations in Machine Learning
M. Malik
20
55
0
12 Feb 2020
What Would You Ask the Machine Learning Model? Identification of User Needs for Model Explanations Based on Human-Model Conversations
Michal Kuzba
P. Biecek
HAI
23
22
0
07 Feb 2020
`Why didn't you allocate this task to them?' Negotiation-Aware Explicable Task Allocation and Contrastive Explanation Generation
Z. Zahedi
Sailik Sengupta
Subbarao Kambhampati
4
2
0
05 Feb 2020
Human-centered Explainable AI: Towards a Reflective Sociotechnical Approach
Upol Ehsan
Mark O. Riedl
6
215
0
04 Feb 2020
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations
S. Sreedharan
Utkarsh Soni
Mudit Verma
Siddharth Srivastava
S. Kambhampati
76
30
0
04 Feb 2020
Evaluating Saliency Map Explanations for Convolutional Neural Networks: A User Study
Ahmed Alqaraawi
M. Schuessler
Philipp Weiß
Enrico Costanza
N. Bianchi-Berthouze
AAML
FAtt
XAI
33
197
0
03 Feb 2020
Distal Explanations for Model-free Explainable Reinforcement Learning
Prashan Madumal
Tim Miller
L. Sonenberg
F. Vetere
FAtt
LRM
12
25
0
28 Jan 2020
One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency
Kacper Sokol
Peter A. Flach
8
173
0
27 Jan 2020
Adequate and fair explanations
Nicholas M. Asher
Soumya Paul
Chris Russell
37
9
0
21 Jan 2020
Towards Social Identity in Socio-Cognitive Agents
Diogo Rato
S. Mascarenhas
R. Prada
11
15
0
20 Jan 2020
CheXplain: Enabling Physicians to Explore and UnderstandData-Driven, AI-Enabled Medical Imaging Analysis
Yao Xie
Melody Chen
David Kao
Ge Gao
Xiang Ánthony' Chen
31
126
0
15 Jan 2020
Keeping Community in the Loop: Understanding Wikipedia Stakeholder Values for Machine Learning-Based Systems
C. E. Smith
Bowen Yu
Anjali Srivastava
Aaron L Halfaker
Loren G. Terveen
Haiyi Zhu
KELM
21
69
0
14 Jan 2020
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
Q. V. Liao
D. Gruen
Sarah Miller
52
702
0
08 Jan 2020
Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making
Yunfeng Zhang
Q. V. Liao
Rachel K. E. Bellamy
28
662
0
07 Jan 2020
A New Approach for Explainable Multiple Organ Annotation with Few Data
Régis Pierrard
Jean-Philippe Poli
C´eline Hudelot
6
8
0
30 Dec 2019
Teaching Responsible Data Science: Charting New Pedagogical Territory
Julia Stoyanovich
Armanda Lewis
17
37
0
23 Dec 2019
Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents' Capabilities and Limitations
Pedro Sequeira
Melinda Gervasio
19
104
0
19 Dec 2019
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)
Zied Bouraoui
Antoine Cornuéjols
Thierry Denoeux
Sebastien Destercke
Didier Dubois
...
Jérôme Mengin
H. Prade
Steven Schockaert
M. Serrurier
Christel Vrain
21
13
0
13 Dec 2019
Improved Explanatory Efficacy on Human Affect and Workload through Interactive Process in Artificial Intelligence
Byung Hyung Kim
Seunghun Koh
Sejoon Huh
Sungho Jo
Sunghee Choi
6
9
0
13 Dec 2019
Understanding complex predictive models with Ghost Variables
Pedro Delicado
D. Peña
FAtt
42
4
0
13 Dec 2019
Explainability Fact Sheets: A Framework for Systematic Assessment of Explainable Approaches
Kacper Sokol
Peter A. Flach
XAI
19
299
0
11 Dec 2019
An Algorithmic Equity Toolkit for Technology Audits by Community Advocates and Activists
Michael A. Katell
Meg Young
Bernease Herman
Dharma Dailey
Aaron Tam
Vivian Guetler
Corinne Binz
Daniella Raz
P. Krafft
MLAU
11
6
0
06 Dec 2019
Counterfactual Explanation Algorithms for Behavioral and Textual Data
Yanou Ramon
David Martens
F. Provost
Theodoros Evgeniou
FAtt
31
87
0
04 Dec 2019
A psychophysics approach for quantitative comparison of interpretable computer vision models
F. Biessmann
D. Refiano
22
5
0
24 Nov 2019
Towards Quantification of Explainability in Explainable Artificial Intelligence Methods
Sheikh Rabiul Islam
W. Eberle
S. Ghafoor
XAI
22
42
0
22 Nov 2019
Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response
Sheikh Rabiul Islam
W. Eberle
S. Ghafoor
Ambareen Siraj
Mike Rogers
19
39
0
22 Nov 2019
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning
M. Sendak
M. C. Elish
M. Gao
Joseph D. Futoma
W. Ratliff
M. Nichols
A. Bedoya
S. Balu
Cara O'Brien
HAI
19
167
0
19 Nov 2019
LIBRE: Learning Interpretable Boolean Rule Ensembles
Graziano Mita
Paolo Papotti
Maurizio Filippone
Pietro Michiardi
14
16
0
15 Nov 2019
Understanding Multi-Head Attention in Abstractive Summarization
Joris Baan
Maartje ter Hoeve
M. V. D. Wees
Anne Schuth
Maarten de Rijke
AAML
27
23
0
10 Nov 2019
What Gets Echoed? Understanding the "Pointers" in Explanations of Persuasive Arguments
D. Atkinson
K. Srinivasan
Chenhao Tan
24
16
0
01 Nov 2019
Mathematical decisions and non-causal elements of explainable AI
Atoosa Kasirzadeh
4
2
0
30 Oct 2019
Weight of Evidence as a Basis for Human-Oriented Explanations
David Alvarez-Melis
Hal Daumé
Jennifer Wortman Vaughan
Hanna M. Wallach
XAI
FAtt
29
20
0
29 Oct 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
41
6,125
0
22 Oct 2019
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability
Christopher Frye
C. Rowat
Ilya Feige
18
180
0
14 Oct 2019
The Quest for Interpretable and Responsible Artificial Intelligence
Vaishak Belle
16
3
0
10 Oct 2019
AI for Explaining Decisions in Multi-Agent Environments
Sarit Kraus
A. Azaria
J. Fiosina
Maike Greve
Noam Hazon
L. Kolbe
Tim-Benjamin Lembcke
J. P. Müller
Sören Schleibaum
M. Vollrath
28
40
0
10 Oct 2019
Keeping Designers in the Loop: Communicating Inherent Algorithmic Trade-offs Across Multiple Objectives
Bowen Yu
Ye Yuan
Loren G. Terveen
Zhiwei Steven Wu
Jodi Forlizzi
Haiyi Zhu
25
2
0
07 Oct 2019
Enriching Visual with Verbal Explanations for Relational Concepts -- Combining LIME with Aleph
Johannes Rabold
Hannah Deininger
M. Siebers
Ute Schmid
FAtt
11
57
0
04 Oct 2019
REDS: Rule Extraction for Discovering Scenarios
Vadim Arzamasov
Klemens Böhm
16
6
0
03 Oct 2019
The Bouncer Problem: Challenges to Remote Explainability
Erwan Le Merrer
Gilles Tredan
24
8
0
03 Oct 2019
MonoNet: Towards Interpretable Models by Learning Monotonic Features
An-phi Nguyen
María Rodríguez Martínez
FAtt
18
13
0
30 Sep 2019
FACE: Feasible and Actionable Counterfactual Explanations
Rafael Poyiadzi
Kacper Sokol
Raúl Santos-Rodríguez
T. D. Bie
Peter A. Flach
18
365
0
20 Sep 2019
Towards Explainable Neural-Symbolic Visual Reasoning
Adrien Bennetot
J. Laurent
Raja Chatila
Natalia Díaz Rodríguez
XAI
17
1
0
19 Sep 2019
Learning Invariants through Soft Unification
Nuri Cingillioglu
A. Russo
NAI
13
2
0
16 Sep 2019
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust
Arjun Reddy Akula
Changsong Liu
Sari Saba-Sadiya
Hongjing Lu
S. Todorovic
J. Chai
Song-Chun Zhu
24
18
0
15 Sep 2019
Towards A Robot Explanation System: A Survey and Our Approach to State Summarization, Storage and Querying, and Human Interface
Zhao Han
Jordan Allspaw
Adam Norton
Holly Yanco
14
5
0
13 Sep 2019
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques
Vijay Arya
Rachel K. E. Bellamy
Pin-Yu Chen
Amit Dhurandhar
Michael Hind
...
Karthikeyan Shanmugam
Moninder Singh
Kush R. Varshney
Dennis L. Wei
Yunfeng Zhang
XAI
8
390
0
06 Sep 2019
Previous
1
2
3
...
22
23
24
25
Next