Horizontal Archives - AI Standards Hub

IEEE P3193

Recommended Practice on Large-scale Pre-trained Deep Learning Model Application Framework

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This recommended practice provides a framework for the use of large-scale pre-trained deep learning models, including approaches, taxonomies, related roles,…

Pre-draft

Last Updated: 12 Jun 2025

IEEE P2961

Guide for an Architectural Framework and Application for Collaborative Edge Computing

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This guide defines a machine learning framework that allows a computing task to be decomposed and distributed across edge and…

Pre-draft

Last Updated: 12 Jun 2025

IEEE P3142

Recommended Practice on Distributed Training and Inference for Large-scale Deep Learning Models

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This recommended practice specifies principles, approaches, and key performance indicators for distributed training and inference of large-scale deep learning models.…

Pre-draft

Last Updated: 12 Jun 2025

ITU-R BT.2447-1

Artificial intelligence systems for programme production and exchange

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New broadcasting technologies driven by artificial intelligence (AI) are being introduced to the broadcasting workflow. These technologies are intended to…

Published

Last Updated: 12 Jun 2025

IEEE P3338

Guide for Framework for Data Contribution Evaluation in Federated Machine Learning

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This guide provides data contribution measurement methods for federated machine learning. The document provides guidance with respect to data trading…

Pre-draft

Last Updated: 12 Jun 2025

IEEE P3187

Guide for Framework for Trustworthy Federated Machine Learning

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The development and application of federated machine learning are facing the critical challenges about how to balance the tradeoff among…

Draft

Last Updated: 12 Jun 2025

IEEE P7018

Standard for Security and Trustworthiness Requirements in Generative Pretrained Artificial Intelligence (AI) Models

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Horizontal AI-specific Security and resilience See more

This standard establishes a comprehensive framework for mitigating security risks, privacy leaking in the development, deployment, and use of generative…

Pre-draft

Last Updated: 11 Jun 2025

IEEE P3430

Recommended Practice for A Holistic Framework for AI Foundation Models

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Horizontal AI-specific System architecture See more

This recommended practice provides a holistic framework for AI foundation models. The framework allows sharing of the common computing resources,…

Pre-draft

Last Updated: 11 Jun 2025

IEEE P3458

Standard for Domain-Specific Large Language Model Management Platforms

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Horizontal AI-specific NLP See more

This standard specifies a domain-specific architecture for Large Language Models (LLMs) Management Platforms that includes: functional, service, and deployment requirements.…

Pre-draft

Last Updated: 11 Jun 2025

IEEE P3429

Recommended Practices for Levels of Artificial Intelligence Generated Content Technologies

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This recommended practice provides an overview of Artificial Intelligence Generated Content (AIGC) technologies, levels of those AICG technologies and defines…

Pre-draft

Last Updated: 11 Jun 2025

IEEE P3426

Standard for Defining and Measuring the Capabilities of AI Foundation Models

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This standard defines and provides criteria to measure the capabilities of foundation models. The standard focuses on measurable and objective…

Pre-draft

Last Updated: 11 Jun 2025

IEEE P3427

Standard for Federated Machine Learning of Semantic Information Agents

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This standard defines a comprehensive framework for federated machine learning of semantic information agents. It targets two primary layers: •…

Pre-draft

Last Updated: 11 Jun 2025

Content Type

Recommended Practice on Large-scale Pre-trained Deep Learning Model Application Framework

Guide for an Architectural Framework and Application for Collaborative Edge Computing

Recommended Practice on Distributed Training and Inference for Large-scale Deep Learning Models

Artificial intelligence systems for programme production and exchange

Guide for Framework for Data Contribution Evaluation in Federated Machine Learning

Guide for Framework for Trustworthy Federated Machine Learning

Standard for Security and Trustworthiness Requirements in Generative Pretrained Artificial Intelligence (AI) Models

Recommended Practice for A Holistic Framework for AI Foundation Models

Standard for Domain-Specific Large Language Model Management Platforms

Recommended Practices for Levels of Artificial Intelligence Generated Content Technologies

Standard for Defining and Measuring the Capabilities of AI Foundation Models

Standard for Federated Machine Learning of Semantic Information Agents

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