This document surveys topics related to trustworthiness in AI systems, including the following:
— approaches to establish trust in AI systems through transparency, explainability, controllability, etc.;
— engineering pitfalls and typical associated threats and risks to AI systems, along with possible mitigation techniques and methods; and
— approaches to assess and achieve availability, resiliency, reliability, accuracy, safety, security and privacy of AI systems.
The specification of levels of trustworthiness for AI systems is out of the scope of this document.
Status : PublishedPublication date : 2020-05
Edition : 1Number of pages : 43
Technical Committee:Artificial intelligence
Buy this standard
|PDF + ePub|
A standard is reviewed every 5 years
Revisions / Corrigenda
ISO/IEC TR 24028:2020