XAI—Explainable artificial intelligence
David Gunning
1
,
Mark J. Stefik
2
,
Jae-Sik Choi
3
,
Tim C. Miller
4
,
Simone Stumpf
5
,
Guang-Zhong Yang
6
1
Defense Advanced Research Projects Agency (DARPA), 675 North Randolph Street, Arlington, VA 22201, USA.
|
2
Palo Alto Research Center, 3333 Coyote Hill Road, Palo Alto, CA 94304, USA.
|
Publication type: Journal Article
Publication date: 2019-12-18
scimago Q1
wos Q1
SJR: 5.940
CiteScore: 30.6
Impact factor: 27.5
ISSN: 24709476
PubMed ID:
33137719
Computer Science Applications
Mechanical Engineering
Artificial Intelligence
Control and Optimization
Abstract
Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications.
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Total citations:
1381
Citations from 2024:
660
(47.93%)
Cite this
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GOST
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Gunning D. et al. XAI—Explainable artificial intelligence // Science Robotics. 2019. Vol. 4. No. 37.
GOST all authors (up to 50)
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Gunning D., Stefik M. J., Choi J., Miller T. C., Stumpf S., Yang G. XAI—Explainable artificial intelligence // Science Robotics. 2019. Vol. 4. No. 37.
Cite this
RIS
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TY - JOUR
DO - 10.1126/scirobotics.aay7120
UR - https://doi.org/10.1126/scirobotics.aay7120
TI - XAI—Explainable artificial intelligence
T2 - Science Robotics
AU - Gunning, David
AU - Stefik, Mark J.
AU - Choi, Jae-Sik
AU - Miller, Tim C.
AU - Stumpf, Simone
AU - Yang, Guang-Zhong
PY - 2019
DA - 2019/12/18
PB - American Association for the Advancement of Science (AAAS)
IS - 37
VL - 4
PMID - 33137719
SN - 2470-9476
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2019_Gunning,
author = {David Gunning and Mark J. Stefik and Jae-Sik Choi and Tim C. Miller and Simone Stumpf and Guang-Zhong Yang},
title = {XAI—Explainable artificial intelligence},
journal = {Science Robotics},
year = {2019},
volume = {4},
publisher = {American Association for the Advancement of Science (AAAS)},
month = {dec},
url = {https://doi.org/10.1126/scirobotics.aay7120},
number = {37},
doi = {10.1126/scirobotics.aay7120}
}