Accuracy and performance Archives - Page 3 of 9

This standard specifies an architecture and technical requirements for face recognition systems. A general technical architecture is defined. Functional, performance,…

Published

Last Updated: 18 Jul 2024

IEEE 7010-2020

IEEE Recommended Practice for Assessing the Impact of Autonomous and Intelligent Systems on Human Well-Being

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Horizontal AI-specific Accuracy and performance Human rights

Risk management System lifecycle Measurement and test methods

New IEEE Standard – Active. The impact of artificial intelligence or autonomous and intelligent systems (A/IS) on humans is measured…

Published

Last Updated: 19 Jul 2024

IEEE 3652.1-2020

IEEE Guide for Architectural Framework and Application of Federated Machine Learning

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Horizontal AI-specific Accuracy and performance Data collection

Data management Data processing Data protection Data sharing Privacy Security and resilience System architecture Foundational and terminology Measurement and test methods Process, management and governance Product and performance requirements

New IEEE Standard – Active. Federated machine learning defines a machine learning framework that allows a collective model to be…

Published

Last Updated: 18 Jul 2024

ANSI/CTA 2096

Guidelines for Developing Trustworthy Artificial Intelligence Systems

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Horizontal AI-specific Accountability Accuracy and performance

Bias and discrimination Data protection Explainability and transparency Human-centred design Privacy Risk management Safety Security and resilience Stakeholder engagement and communication Process, management and governance

This recommended practice will describe things developers of artificial intelligence (AI) systems should consider for their systems to be considered…

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

IEEE 2894

Guide for an Architectural Framework for Explainable Artificial Intelligence

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Horizontal AI-specific Accountability Accuracy and performance

Bias and discrimination Explainability and transparency Privacy Safety System architecture Interface and architecture Process, management and governance

This guide specifies an architectural framework that facilitates the adoption of explainable artificial intelligence (XAI). This guide defines an architectural…

Published

Last Updated: 18 Jul 2024

ITU-T P.565

Framework for creation and performance testing of machine learning based models 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

Measurement and test methods Process, management and governance Product and performance requirements

This Recommendation1 specifies a framework in the form of constraints, performance criteria and methods for the development of intrusive parametric,…

Published

Last Updated: 18 Jul 2024

ETSI TR 103748 V 1.1.1

Core Network and Interoperability Testing (INT) – Artificial Intelligence (AI) in Test Systems and Testing of AI Models – Use and Benefits of AI Technologies in Testing

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Telecom and network-based services AI-specific Accuracy and performance Interoperability

Security and resillience System architecture Measurement and test methods

Published

Last Updated: 18 Jul 2024

ISO/IEC DIS 5152

Biometric performance estimation methodologies using statistical model

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Horizontal AI-specific Accuracy and performance Computer vision - Facial recognition

Measurement and test methods

Draft

Last Updated: 18 Jul 2024

DIN SPEC 92001-1

Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 1: Quality Meta Model

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Horizontal AI-specific Accuracy and performance Explainability and transparency

Risk management Robustness Safety System lifecycle System quality Process, management and governance

This DIN SPEC in accordance with the PAS procedure has been drawn up by a DIN SPEC (PAS)-consortium set up…

Published

Last Updated: 18 Jul 2024

Content Type

IEEE Standard for Performance Benchmarking for Artificial Intelligence Server Systems

IEEE Standard for Performance Benchmarking for Artificial Intelligence Server Systems

IEEE Standard for Technical Requirements for Face Recognition

IEEE Recommended Practice for Assessing the Impact of Autonomous and Intelligent Systems on Human Well-Being

Guidelines for Developing Trustworthy Artificial Intelligence Systems

Guide for Verification of Autonomous Systems

Guide for an Architectural Framework for Explainable Artificial Intelligence

Framework for creation and performance testing of machine learning based models for the assessment of transmission network impact on speech quality for mobile packet-switched voice services

Core Network and Interoperability Testing (INT) – Artificial Intelligence (AI) in Test Systems and Testing of AI Models – Use and Benefits of AI Technologies in Testing

Biometric performance estimation methodologies using statistical model

Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 1: Quality Meta Model

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