Title
How Much to Trust Artificial Intelligence?
Abstract
Considerable buzz surrounds artificial intelligence, and, indeed, AI is all around us. As with any software-based technology, it is also prone to vulnerabilities. Here, the author examines how we determine whether AI is sufficiently reliable to do its job and how much we should trust its outcomes.
Year
DOI
Venue
2017
10.1109/MITP.2017.3051326
IT Professional
Keywords
Field
DocType
Artificial intelligence,Cognitive systems,Distributed computing,Software engineering,Machine learning algorithms
Symbolic artificial intelligence,Marketing and artificial intelligence,Computer science,Computer security,AI-complete,Music and artificial intelligence,Artificial intelligence,Artificial intelligence, situated approach,Artificial Intelligence System,Nouvelle AI,Applications of artificial intelligence
Journal
Volume
Issue
ISSN
19
4
1520-9202
Citations 
PageRank 
References 
0
0.34
1
Authors
1
Name
Order
Citations
PageRank
George F. Hurlburt112218.27