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ISO/IEC 25059

Software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Quality model for AI systems

active, Most Current
Organization: ISO
Publication Date: 1 June 2023
Status: active
Page Count: 22
ICS Code (Software): 35.080
scope:

This document outlines a quality model for AI systems and is an application-specific extension to the standards on SQuaRE. The characteristics and sub-characteristics detailed in the model provide consistent terminology for specifying, measuring and evaluating AI system quality. The characteristics and sub-characteristics detailed in the model also provide a set of quality characteristics against which stated quality requirements can be compared for completeness.

Document History

ISO/IEC 25059
June 1, 2023
Software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Quality model for AI systems
This document outlines a quality model for AI systems and is an application-specific extension to the standards on SQuaRE. The characteristics and sub-characteristics detailed in the model provide...

References

This document references:
ISO/IEC 24029-2 - Artificial intelligence (AI) — Assessment of the robustness of neural networks — Part 2: Methodology for the use of formal methods
Published by ISO on August 1, 2023
This document provides methodology for the use of formal methods to assess robustness properties of neural networks. The document focuses on how to select, apply and manage formal methods to prove...
This document references:
ISO 31000 - Risk management - Guidelines
Published by ISO on February 1, 2018
This document provides guidelines on managing risk faced by organizations. The application of these guidelines can be customized to any organization and its context. This document provides a common...
This document references:
ISO/IEC 22989 - Information technology — Artificial intelligence — Artificial intelligence concepts and terminology
Published by ISO on July 1, 2022
This document establishes terminology for AI and describes concepts in the field of AI. This document can be used in the development of other standards and in support of communications among diverse,...
This document references:
ISO/IEC 23053 - Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)
Published by ISO on June 1, 2022
This document establishes an Artificial Intelligence (AI) and Machine Learning (ML) framework for describing a generic AI system using ML technology. The framework describes the system components and...
This document references:
ISO/IEC 23894 - Information technology — Artificial intelligence — Guidance on risk management
Published by ISO on February 1, 2023
This document provides guidance on how organizations that develop, produce, deploy or use products, systems and services that utilize artificial intelligence (AI) can manage risk specifically related...
This document references:
ISO/IEC 25000 - Systems and software engineering - Systems and software Quality Requirements and Evaluation (SQuaRE) - Guide to SQuaRE
Published by ISO on March 15, 2014
A description is not available for this item.
This document references:
ISO/IEC 24029-2 - Artificial intelligence (AI) — Assessment of the robustness of neural networks — Part 2: Methodology for the use of formal methods
Published by ISO on August 1, 2023
This document provides methodology for the use of formal methods to assess robustness properties of neural networks. The document focuses on how to select, apply and manage formal methods to prove...
This document is referenced by:
BS ISO/IEC 5338 - Information technology - Artificial intelligence - AI system life cycle processes
Published by BSI on February 29, 2024
A description is not available for this item.
This document is referenced by:
BS ISO/IEC 42001 - Information technology - Artificial intelligence - Management system
Published by BSI on December 31, 2023
A description is not available for this item.
This document is referenced by:
ISO/IEC 5338 - Information technology — Artificial intelligence — AI system life cycle processes
Published by ISO on December 1, 2023
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...
This document is referenced by:
ISO/IEC FDIS 12791 - Information technology — Artificial intelligence — Treatment of unwanted bias in classification and regression machine learning tasks
Published by ISO on November 9, 2023
This document describes how to address unwanted bias in AI systems that use machine learning to conduct classification and regression tasks. This document provides mitigation techniques that can be...
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