Validation Testing of Autonomous Learning Systems. Issue 1 (15th April 2020)

• Record Type: Journal Article
• Authors: Collopy, Paul; Sitterle, Valerie; Petrillo, Jennifer
• Is Part Of: Insight. Volume 23:Issue 1(2020)
• Page Start: 48
• Page End: 51
• Publication Date: 2020-04-15
• Subjects: validation -- artificial intelligence -- machine learning -- testing -- adaptive; Systems engineering -- Periodicals; Systems engineering; Periodicals; 620.0011
• DOI: 10.1002/inst.12285
• Languages: English
• ISSNs: 2156-485X

Abstract

ABSTRACT: Validating artificial intelligence systems is challenging. Systems continuing to learn new behaviors in the field are particularly difficult, because the designer does not know what the functions need proving. This article reports on a research project using the Toulmin augmentation method to structure validation test plans and validation testing for very difficult systems like field‐learning AI.