Information technology: Artificial intelligence - AI system life cycle processes
Scope:
This document defines a set of processes and associated concepts for describing the life cycle of AI
systems based on machine learning and heuristic systems. It is based on ISO/IEC/IEEE 15288 and
ISO/IEC/IEEE 12207 with modifications and additions of AI-specific processes from ISO/IEC 22989 and
ISO/IEC 23053.
This document provides processes that support the definition, control, management, execution and
improvement of the AI system in its life cycle stages. These processes can also be used within an
organization or a project when developing or acquiring AI systems. When an element of an AI system
is traditional software or a traditional system, the software life cycle processes in ISO/IEC/IEEE 12207
and the system life cycle processes in ISO/IEC/IEEE 15288 can be used to implement that element.
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.