System quality Archives - AI Standards Hub

Recommendation ITU-T Y.3183 provides a framework for machine learning-assisted network slicing management, leveraging vertical end users’ feedback on quality of…

Published

Last Updated: 31 Oct 2024

VDE-AR-E 2842-61-5

Development and trustworthiness of autonomous/cognitive systems – Part 61-5: Development at Technology Level; Text in English

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Horizontal AI-specific Organisational governance Project management

System lifecycle System quality Process, management and governance

This is part 5 of the VDE-AR-E 2842-61 series of application guides (AR). It describes the requirements for the reference…

Draft

Last Updated: 31 Oct 2024

VDE-AR-E 2842-61-4

Development and trustworthiness of autonomous/cognitive systems – Part 61-4: Development at System Level; Text in English

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Horizontal AI-specific Organisational governance Project management

System lifecycle System quality Process, management and governance

Reference model for trustworthy Artificial intelligence (AI) has the great potential to change society, the economy and the coexistence of…

Published

Last Updated: 31 Oct 2024

DIN SPEC 92001-3

Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 3: Explainability; Text in English

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Horizontal AI-specific Explainability and transparency System quality

Product and performance requirements

This document provides a domain-independent guide to appropriate approaches and methods to promote explainability throughout all stages of an AI…

Published

Last Updated: 31 Oct 2024

ISO/IEC TS 5723 PD ISO/IEC TS 5723:2022

Trustworthiness – Vocabulary

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Horizontal AI-enabling - IT governance Accountability Accuracy and performance

Data management Data protection Data quality Explainability and transparency Human-centred design Privacy Robustness Safety Security and resilience System quality Foundational and terminology

This document provides a definition of trustworthiness for systems and their associated services, along with a selected set of their…

Published

Last Updated: 18 Jul 2024

ANSI/CTA 2090

The Use of Artificial Intelligence in Health Care: Trustworthiness

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Healthcare and medicine - Clinical medicine Healthcare and medicine - Medical devices AI-specific Accuracy and performance

Bias and discrimination Data collection Data processing Data protection Data quality Explainability and transparency Human-centred design Human-computer interaction Privacy Safety Security and resilience Stakeholder engagement and communication System quality Process, management and governance Product and performance requirements

Artificial Intelligence (AI) is quickly becoming a pervasive tool in the health care industry. This standard identifies the core requirements…

Published

Last Updated: 18 Jul 2024

ISO/IEC 25010:2011 BS ISO/IEC 25010:2011

Systems and software engineering. Systems and software quality requirements and evaluation (SQuaRE). System and software quality models

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Horizontal AI-enabling - Software System quality Measurement and test methods

Process, management and governance

Software products and software-intensive computer systems are increasingly used to perform a wide variety of business and personal functions. Realization…

Published

Last Updated: 18 Jul 2024

ISO/IEC 25020:2019 BS ISO/IEC 25020:2019

Systems and software engineering. Systems and software Quality Requirements and Evaluation (SQuaRE). Quality measurement framework

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Horizontal AI-enabling - Software Data quality System quality

Measurement and test methods

What is ISO/IEC 25020 – SQuaRE about? ISO/IEC 25020 provides a framework for developing quality measurement and contains quality measurement…

Published

Last Updated: 18 Jul 2024

ISO/IEC 25021:2012 BS ISO/IEC 25021:2012

Systems and software engineering. Systems and software Quality Requirements and Evaluation (SQuaRE). Quality measure elements

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Horizontal AI-enabling - Software System quality Measurement and test methods See more

The purpose of this International Standard is to define and/or design an initial set of Quality Measure Elements (QME) to…

Published

Last Updated: 18 Jul 2024

Content Type

Systems and software engineering – Systems and software Quality Requirements and Evaluation (SQuaRE) – Guidance for quality evaluation of artificial intelligence (AI) systems

Implementation and operation of big data applications in the manufacturing industry – Online application of data-driven models

Implementation and operation of big data applications in the manufacturing industry – Validation of models

Framework for network slicing management assisted by machine learning leveraging quality of experience feedback from verticals

Development and trustworthiness of autonomous/cognitive systems – Part 61-5: Development at Technology Level; Text in English

Development and trustworthiness of autonomous/cognitive systems – Part 61-4: Development at System Level; Text in English

Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 3: Explainability; Text in English

Trustworthiness – Vocabulary

The Use of Artificial Intelligence in Health Care: Trustworthiness

Systems and software engineering. Systems and software quality requirements and evaluation (SQuaRE). System and software quality models

Systems and software engineering. Systems and software Quality Requirements and Evaluation (SQuaRE). Quality measurement framework

Systems and software engineering. Systems and software Quality Requirements and Evaluation (SQuaRE). Quality measure elements

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