可解释人工智能
XAI-Explainable artificial intelligence.
作者信息
Gunning David, Stefik Mark, Choi Jaesik, Miller Timothy, Stumpf Simone, Yang Guang-Zhong
机构信息
Defense Advanced Research Projects Agency (DARPA), 675 North Randolph Street, Arlington, VA 22201, USA.
Palo Alto Research Center, 3333 Coyote Hill Road, Palo Alto, CA 94304, USA.
出版信息
Sci Robot. 2019 Dec 18;4(37). doi: 10.1126/scirobotics.aay7120.
PMID:33137719
Abstract
Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications.
摘要
可解释性对于用户有效理解、信任和管理强大的人工智能应用至关重要。
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