The Path to a Consensus on Artificial Intelligence Assurance

被引：6
|
作者：
Freeman, Laura [1 ]
Batarseh, Feras A. [2 ,3 ]
Kuhn, D. Richard [4 ]
Raunak, M. S. [4 ]
Kacker, Raghu N. [5 ]
机构：
[1] Virginia Tech, Natl Secur Inst, Intelligent Syst Div, Arlington, VA 22203 USA
[2] Virginia Tech, Dept Elect & Comp Engn, Arlington, VA 22203 USA
[3] Virginia Tech, Commonwealth Cyber Initiat, Arlington, VA 22203 USA
[4] NIST, Comp Secur Div, Gaithersburg, MD 20899 USA
[5] NIST, Gaithersburg, MD 20899 USA
来源：
COMPUTER | 2022年 / 55卷 / 03期
关键词：
Compendex;
D O I：
10.1109/MC.2021.3129027
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Wide-scale adoption of intelligent algorithms requires artificial intelligence (AI) engineers to provide assurances that an algorithm will perform as intended. In this article, we discuss the formalization of important aspects of AI assurance, including its key components. © 2022 IEEE.
引用
收藏
页码：82 / 86
页数：5
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