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Metrics for Explainable AI: Challenges and Prospects

Metrics for Explainable AI: Challenges and Prospects

11 December 2018
R. Hoffman
Shane T. Mueller
Gary Klein
Jordan Litman
    XAI
ArXivPDFHTML

Papers citing "Metrics for Explainable AI: Challenges and Prospects"

17 / 117 papers shown
Title
Sequential Explanations with Mental Model-Based Policies
Sequential Explanations with Mental Model-Based Policies
A. Yeung
Shalmali Joshi
Joseph Jay Williams
Frank Rudzicz
FAtt
LRM
36
15
0
17 Jul 2020
Does Explainable Artificial Intelligence Improve Human Decision-Making?
Does Explainable Artificial Intelligence Improve Human Decision-Making?
Y. Alufaisan
L. Marusich
J. Bakdash
Yan Zhou
Murat Kantarcioglu
XAI
22
94
0
19 Jun 2020
Getting a CLUE: A Method for Explaining Uncertainty Estimates
Getting a CLUE: A Method for Explaining Uncertainty Estimates
Javier Antorán
Umang Bhatt
T. Adel
Adrian Weller
José Miguel Hernández-Lobato
UQCV
BDL
52
112
0
11 Jun 2020
Local and Global Explanations of Agent Behavior: Integrating Strategy
  Summaries with Saliency Maps
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps
Tobias Huber
Katharina Weitz
Elisabeth André
Ofra Amir
FAtt
21
64
0
18 May 2020
Don't Explain without Verifying Veracity: An Evaluation of Explainable
  AI with Video Activity Recognition
Don't Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition
Mahsan Nourani
Chiradeep Roy
Tahrima Rahman
Eric D. Ragan
Nicholas Ruozzi
Vibhav Gogate
AAML
17
17
0
05 May 2020
The Grammar of Interactive Explanatory Model Analysis
The Grammar of Interactive Explanatory Model Analysis
Hubert Baniecki
Dariusz Parzych
P. Biecek
24
44
0
01 May 2020
Applying Transparency in Artificial Intelligence based Personalization
  Systems
Applying Transparency in Artificial Intelligence based Personalization Systems
Laura Schelenz
A. Segal
Y. Gal
22
9
0
02 Apr 2020
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for
  Sequential Decision-Making Problems with Inscrutable Representations
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
Proxy Tasks and Subjective Measures Can Be Misleading in Evaluating
  Explainable AI Systems
Proxy Tasks and Subjective Measures Can Be Misleading in Evaluating Explainable AI Systems
Zana Buçinca
Phoebe Lin
Krzysztof Z. Gajos
Elena L. Glassman
ELM
36
280
0
22 Jan 2020
Trust in AutoML: Exploring Information Needs for Establishing Trust in
  Automated Machine Learning Systems
Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems
Jaimie Drozdal
Justin D. Weisz
Dakuo Wang
Gaurav Dass
Bingsheng Yao
Changruo Zhao
Michael J. Muller
Lin Ju
Hui Su
44
125
0
17 Jan 2020
Questioning the AI: Informing Design Practices for Explainable AI User
  Experiences
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
Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making
Yunfeng Zhang
Q. V. Liao
Rachel K. E. Bellamy
39
662
0
07 Jan 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI
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
44
6,125
0
22 Oct 2019
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust
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
Leveraging Latent Features for Local Explanations
Leveraging Latent Features for Local Explanations
Ronny Luss
Pin-Yu Chen
Amit Dhurandhar
P. Sattigeri
Yunfeng Zhang
Karthikeyan Shanmugam
Chun-Chen Tu
FAtt
57
37
0
29 May 2019
Explainable Reinforcement Learning Through a Causal Lens
Explainable Reinforcement Learning Through a Causal Lens
Prashan Madumal
Tim Miller
L. Sonenberg
F. Vetere
CML
28
357
0
27 May 2019
A Multidisciplinary Survey and Framework for Design and Evaluation of
  Explainable AI Systems
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems
Sina Mohseni
Niloofar Zarei
Eric D. Ragan
41
102
0
28 Nov 2018
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