AI-specific requirements with regard to robustness, espe-cially regarding adversarial robustness and corruption robustness
Procedure for data collection, structuring of data for learn-ing AI image recognition, process structure of learning experiments and quality assurance
Software quality: Quality assessment for AI-based systems (see also 4.1.1 and 4.3.1.4)
This document describes the framework of the big data reference architecture and the process for how a user of the document can apply it to their particular problem domain.
SO/IEC TR 20547-2:2018 provides examples of big data use cases with application domains and technical considerations derived from the contributed use cases.
ISO/IEC TR 20547-5:2018 describes big data relevant standards, both in existence and under development, along with priorities for future big data standards development based on gap analysis.
ISO/IEC 18045:2008 is a companion document to ISO/IEC 15408, Information technology - Security techniques - Evaluation criteria for IT security. ISO/IEC 18045:2008 defines the minimum actions to be performed by an evaluator in order to conduct an ISO/IEC 15408 evaluation, using the criteria and evaluation evidence defined in ISO/IEC 15408. ISO/IEC 18045:2008 does not define evaluator actions for certain high assurance ISO/IEC 15408 components, where there is as yet no generally agreed guidance.
