System quality Archives - Page 4 of 14

IEEE 3128-2025

Recommended Practice for The Evaluation of Artificial Intelligence (AI) Dialogue System Capabilities

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NLP - Human-machine conversation Measurement and test methods

This recommended practice establishes an evaluation framework for the capabilities of artificial intelligence dialogue systems such as chatbots, consulting terminals,…

Published

Last Updated: 16 Mar 2025

FprCEN/TR 17833

Railway applications – Guidance for the use of simulations – Guidance for the use of simulations to demonstrate compliance with technical and regulatory requirements and on the introduction and development of simulation requirements into standards

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Transport and autonomous vehicles AI-enabling System quality Process, management and governance See more

The aim of this document is to help CEN/CENELEC Working Group convenors and experts to promote/develop simulation in their standards…

Published

Last Updated: 18 Jul 2024

ITU-T P.565.1

Machine learning model for the assessment of transmission network impact on speech quality for mobile packet-switched voice services

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Telecom and network-based services AI-specific Accuracy and performance System architecture

System quality Measurement and test methods Product and performance requirements

Recommendation ITU-T P.565 provides the output of the framework which is a machine learning based speech quality prediction model that…

Published

Last Updated: 18 Jul 2024

ISO/IEC TS 25011:2017 PD ISO/IEC TS 25011:2017

Information technology. Systems and software Quality Requirements and Evaluation (SQuaRE). Service quality models

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Horizontal AI-enabling - IT governance AI-enabling - Software System quality

Process, management and governance

Information technology (IT) services are increasingly used to perform a wide variety of business and personal functions. IT service quality…

Published

Last Updated: 18 Jul 2024

ISO/IEC AWI TS 17847 ISO/IEC NP TS 17847 -

Information technology – Artificial intelligence – Verification and validation analysis of AI systems

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Horizontal AI-specific Formal verification Risk management

System lifecycle System quality Measurement and test methods Process, management and governance

This document describes approaches and provides guidance on processes for the verification and validation analysis of AI systems (comprising AI…

Pre-draft

Last Updated: 18 Jul 2024

ISO/IEC TR 24028:2020

Information technology – Artificial intelligence – Overview of trustworthiness in artificial intelligence

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Horizontal AI-specific Accountability Accuracy and performance

Bias and discrimination Data quality Explainability and transparency Privacy Risk management Robustness Safety Security and resilience System quality Foundational and terminology Process, management and governance

What is ISO/IEC TR 24028 about? ISO/IEC TR 24028 is an international standard on artificial Intelligence (AI) which includes task…

Published

Last Updated: 18 Jul 2024

IEEE 2937-2022

IEEE Standard for Performance Benchmarking for Artificial Intelligence Server Systems

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Horizontal AI-specific Accuracy and performance System architecture

System quality Measurement and test methods

New IEEE Standard – Active. Artificial intelligence (AI) computing differs from generic computing in terms of device formation, operators, and…

Published

Last Updated: 18 Jul 2024

IEEE 2830-2021

IEEE Standard for Technical Framework and Requirements of Trusted Execution Environment based Shared Machine Learning

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Horizontal AI-specific Data collection Data processing

Data protection Data sharing Privacy Security and resilience System architecture System quality Interface and architecture Process, management and governance Product and performance requirements

The framework and architecture for machine learning in which a model is trained using encrypted data that has been aggregated…

Published

Last Updated: 18 Jul 2024

IEEE 2841-2022

IEEE Recommended Practice for Framework and Process for Deep Learning Evaluation

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Horizontal AI-specific System quality Measurement and test methods

Process, management and governance

The recommendations on evaluating and improving algorithm reliability for shortening the development cycle of deep learning algorithm and improving the…

Published

Last Updated: 18 Jul 2024

IEEE 7007-2021

IEEE Ontological Standard for Ethically Driven Robotics and Automation Systems

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Horizontal AI-enabling Stakeholder engagement and communication System quality

Robotics and autonomous systems Foundational and terminology

A set of ontologies with different abstraction levels that contain concepts, definitions, axioms, and use cases that assist in the…

Published

Last Updated: 19 Jul 2024

PAS 277:2015 from BSI

Health and wellness apps. Quality criteria across the life cycle. Code of practice

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Healthcare and medicine AI-enabling Project management Risk management

System lifecycle System quality Process, management and governance

What is PAS 277 – Health and wellness apps – Code of practise with quality standards for all stages of…

Published

Last Updated: 18 Jul 2024

P2817

Guide for Verification of Autonomous Systems

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Horizontal AI-specific Accuracy and performance Documentation

Risk management Safety System quality Robotics and autonomous systems Measurement and test methods Process, management and governance

This Guide for Verification of Autonomous Systems enables the user to define a customized process for verification of their autonomous…

Pre-draft

Last Updated: 18 Jul 2024

Content Type

Recommended Practice for The Evaluation of Artificial Intelligence (AI) Dialogue System Capabilities

Railway applications – Guidance for the use of simulations – Guidance for the use of simulations to demonstrate compliance with technical and regulatory requirements and on the introduction and development of simulation requirements into standards

Machine learning model for the assessment of transmission network impact on speech quality for mobile packet-switched voice services

Information technology. Systems and software Quality Requirements and Evaluation (SQuaRE). Service quality models

Information technology – Artificial intelligence – Verification and validation analysis of AI systems

Information technology – Artificial intelligence – Overview of trustworthiness in artificial intelligence

IEEE Standard for Performance Benchmarking for Artificial Intelligence Server Systems

IEEE Recommended Practice for Framework and Process for Deep Learning Evaluation

IEEE Ontological Standard for Ethically Driven Robotics and Automation Systems

Health and wellness apps. Quality criteria across the life cycle. Code of practice

Guide for Verification of Autonomous Systems

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