Artificial intelligence: Data quality for analytics and machine learning (ML) - Part 2: Data quality measures
Scope:
This document provides a data quality model, data quality measures and guidance on reporting data quality in the context of analytics and machine learning (ML). This document builds upon the ISO 8000 series, ISO/IEC 25012 and ISO/IEC 25024.
The aim of this document is to enable organizations to achieve their data quality objectives and is applicable to all types of organizations.
Project need:
To align Canadian requirements with those of international standards in the Artificial Intelligence (AI) subject area. Additionally, the standards will provide support for existing and upcoming regulations around AI in Canada. This proposed New Standard is being adopted at the request of Canadian Stakeholders from P123 Technical Committee on Information Technology (TCIT). It will provide the industry with the latest requirements in the field of Artificial Intelligence (AI)
Note: The information provided above was obtained by the Standards Council of Canada (SCC) and is provided as part of a centralized, transparent notification system for new standards development. The system allows SCC-accredited Standards Development Organizations (SDOs), and members of the public, to be informed of new work in Canadian standards development, and allows SCC-accredited SDOs to identify and resolve potential duplication of standards and effort.
Individual SDOs are responsible for the content and accuracy of the information presented here. The text is presented in the language in which it was provided to SCC.