AS 5409:2024 identically adopts ISO/IEC 5338:2023, which defines a set of processes and associated concepts for describing the life cycle of AI systems based on machine learning and heuristic systems. It 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
Table of contents
Header
About this publication
Preface
Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 Abbreviated terms
5 Key concepts
5.1 General
5.2 AI system concepts
5.3 AI system life cycle model
5.4 Process concepts
5.4.1 Criteria for processes
5.4.2 Description of processes
5.4.3 Conformance
6 AI System life cycle processes
6.1 Agreement processes
6.1.1 Acquisition process
6.1.1.1 Purpose
6.1.1.2 Outcomes, activities and tasks
6.1.1.3 AI-specific particularities
6.1.2 Supply process
6.1.2.1 Purpose
6.1.2.2 Outcomes, activities and tasks
6.1.2.3 AI-specific particularities
6.2 Organizational project-enabling processes
6.2.1 Life cycle model management process
6.2.2 Infrastructure management process
6.2.3 Portfolio management process
6.2.3.1 Purpose
6.2.3.2 Outcomes, activities and tasks
6.2.3.3 AI-specific particularities
6.2.4 Human resource management process
6.2.4.1 Purpose
6.2.4.2 Outcomes, activities and tasks
6.2.4.3 AI-specific particularities
6.2.5 Quality management process
6.2.5.1 Purpose
6.2.5.2 Outcomes, activities and tasks
6.2.5.3 AI-specific particularities
6.2.6 Knowledge management process
6.2.6.1 Purpose
6.2.6.2 Outcomes, activities and tasks
6.2.6.3 AI-specific particularities
6.3 Technical management processes
6.3.1 Project planning process
6.3.1.1 Purpose
6.3.1.2 Outcomes, activities and tasks
6.3.1.3 AI-specific particularities
6.3.2 Project assessment and control process
6.3.2.1 Purpose
6.3.2.2 Outcomes, activities and tasks
6.3.2.3 AI-specific particularities
6.3.3 Decision management process
6.3.3.1 Purpose
6.3.3.2 Outcomes, activities and tasks
6.3.3.3 AI-specific particularities
6.3.4 Risk management process
6.3.4.1 Purpose
6.3.4.2 Outcomes, activities and tasks
6.3.4.3 AI-specific particularities
6.3.5 Configuration management process
6.3.5.1 Purpose
6.3.5.2 Outcomes, activities and tasks
6.3.5.3 AI-specific particularities
6.3.6 Information management process
6.3.6.1 Purpose
6.3.6.2 Outcomes, activities and tasks
6.3.6.3 AI-specific particularities
6.3.7 Measurement process
6.3.8 Quality assurance process
6.3.8.1 Purpose
6.3.8.2 Outcomes, activities and tasks
6.3.8.3 AI-specific particularities
6.4 Technical processes
6.4.1 Business or mission analysis process
6.4.1.1 Purpose
6.4.1.2 Outcomes, activities and tasks
6.4.1.3 AI-specific particularities
6.4.2 Stakeholder needs and requirements definition process
6.4.2.1 Purpose
6.4.2.2 Outcomes, activities and tasks
6.4.2.3 AI-specific particularities
6.4.3 System requirements definition process
6.4.3.1 Purpose
6.4.3.2 Outcomes, activities and tasks
6.4.3.3 AI-specific particularities
6.4.4 System architecture definition process
6.4.5 Design definition process
6.4.6 System analysis process
6.4.7 Knowledge acquisition process
6.4.7.1 Purpose
6.4.7.2 Outcomes
6.4.7.3 Activities and tasks
6.4.8 AI data engineering process
6.4.8.1 Purpose
6.4.8.2 Outcomes
6.4.8.3 Activities and tasks
6.4.9 Implementation process
6.4.9.1 Purpose
6.4.9.2 Outcomes
6.4.9.3 Activities and tasks
6.4.9.4 AI-specific particularities
6.4.10 Integration process
6.4.11 Verification process
6.4.11.1 Purpose
6.4.11.2 Outcomes, activities and tasks
6.4.11.3 AI-specific particularities
6.4.12 Transition process
6.4.12.1 Purpose
6.4.12.2 Outcomes, activities and tasks
6.4.12.3 AI-specific particularities
6.4.13 Validation process
6.4.13.1 Purpose
6.4.13.2 Outcomes, activities and tasks
6.4.13.3 AI-specific particularities
6.4.14 Continuous validation process
6.4.14.1 Purpose
6.4.14.2 Outcomes
6.4.14.3 Activities and tasks
6.4.15 Operation process
6.4.15.1 Purpose
6.4.15.2 Outcomes, activities and tasks
6.4.15.3 AI-specific particularities
6.4.16 Maintenance process
6.4.16.1 Purpose
6.4.16.2 Outcomes, activities and tasks
6.4.16.3 AI-specific particularities
6.4.17 Disposal process
6.4.17.1 Purpose
6.4.17.2 Outcomes, activities and tasks
6.4.17.3 AI-specific particularities
Annex A
A.1 What is particular in AI-specific life cycle processes as opposed to traditional systems
