AI-specific Archives - Page 14 of 53

IEEE 2941-2021

IEEE Standard for Artificial Intelligence (AI) Model Representation, Compression, Distribution, and Management

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System architecture Interface and architecture

The AI development interface, AI model interoperable representation, coding format, and model encapsulated format for efficient AI model inference, storage,…

Published

Last Updated: 18 Jul 2024

IEEE 2801-2022

IEEE Recommended Practice for the Quality Management of Datasets for Medical Artificial Intelligence

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Healthcare and medicine - Health informatics AI-specific Data collection Data management

Data quality Process, management and governance

Promoted in this recommended practice are quality management activities for datasets used for artificial intelligence medical devices (AIMD). The document…

Published

Last Updated: 18 Jul 2024

IEEE 2846-2022

IEEE Standard for Assumptions in Safety-Related Models for Automated Driving Systems

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Transport and autonomous vehicles - Road vehicles AI-specific Safety Robotics and autonomous systems

Process, management and governance

This standard applies to road vehicles. Within its Normative portion, it defines a minimum set of reasonable assumptions and foreseeable…

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 1232.3

IEEE Guide for the Use of Artificial Intelligence Exchange and Service Tie to All Test Environments (AI-ESTATE)

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Horizontal AI-specific Interoperability Process, management and governance See more

Guidance to developers of IEEE Std 1232-conformant applications is provided in this guide. A simple doorbell is used as an…

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 2755.1-2019

IEEE Guide for Taxonomy for Intelligent Process Automation Product Features and Functionality

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Horizontal AI-specific System architecture Foundational and terminology See more

Utilizing terminology as established in IEEE Std 2755-2017, defined and classified in this guide are approximately 150 features and functions…

Published

Last Updated: 18 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

ITU-T L Supplement 42

Guidelines on the environmental efficiency of machine learning processes in supply chain management

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Logistics and supply chain management AI-specific Explainability and transparency Security and resilience

Sustainability Measurement and test methods

This guidance document is intended to support machine learning (ML) researchers and operators to measure and improve the environmental efficiency…

Published

Last Updated: 18 Jul 2024

ISO/TR 24291:2021

Health informatics – Applications of machine learning technologies in imaging and other medical applications

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Healthcare and medicine - Clinical medicine Healthcare and medicine - Health informatics Healthcare and medicine - Medical imaging AI-specific

Data collection Data processing Computer vision - Image recognition Foundational and terminology Process, management and governance

This document lists examples of and defines categories of use cases for machine learning in medicine for clinical practice. The…

Published

Last Updated: 18 Jul 2024

DIN SPEC 13288

Guideline for the development of deep learning image recognition systems in medicine

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Healthcare and medicine - Medical imaging AI-specific Data collection Data processing

Data quality System quality Computer vision - Image recognition Process, management and governance

This document gives the requirements, under which image recognition problems in medicine can be addressed using a Deep Learning image…

Published

Last Updated: 18 Jul 2024

Content Type

IEEE Recommended Practice for the Quality Management of Datasets for Medical Artificial Intelligence

IEEE Standard for Assumptions in Safety-Related Models for Automated Driving Systems

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

IEEE Guide for the Use of Artificial Intelligence Exchange and Service Tie to All Test Environments (AI-ESTATE)

IEEE Recommended Practice for Framework and Process for Deep Learning Evaluation

IEEE Guide for Taxonomy for Intelligent Process Automation Product Features and Functionality

Guidelines for Developing Trustworthy Artificial Intelligence Systems

Guidelines on the environmental efficiency of machine learning processes in supply chain management

Health informatics – Applications of machine learning technologies in imaging and other medical applications

Guideline for the development of deep learning image recognition systems in medicine

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