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Standards Development
This document describes testing techniques (including those described in ISO/IEC/IEEE 29119-4) applicable for AI systems in the context of the AI system life cycle model stages defined in ISO/IEC 22989. It describes how AI and ML assessment metrics can be used in the context of those testing techniques.
It also maps testing processes, including those described in ISO/IEC/IEEE 29119-2, to the verification and validation stages in the AI system life cycle.
AI testing is similar to conventional software testing, but it also faces new challenges now. These challenges are discussed in ISO/IEC 29119-11, and this document expands upon the approaches used to mitigate the challenges.
The purpose of this document is to provide guidelines for the testing of AI systems across the AI system life cycle.
This document specifies a set of guidelines related to AI testing useful for AI systems development in accordance with their specified functional and non-functional requirements.
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