• Content Type

Trustworthy AI

Here are topics relevant to designing, developing and deploying AI systems that are trustworthy. This thematic overview will cover the characteristics of trustworthy AI systems and other governance measures to ensure that AI is built responsibly.

Highlights

Watch the recording of the Introduction to Trustworthy AI from the Hub’s launch event, go the forums to discuss what trustworthy AI means and see ISO’s 2020 standard on trustworthiness in AI systems.

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Published standards

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Standards in development

This recommended practice specifies the general requirements of three dimensional (3D) object reconstruction based on deep learning, including terminology, requirements for data format, functional processes, application scenarios and evaluating, metrics for evaluating the processes and effect of 3D object reconstruction.…
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Pre-draft
Standards Body: IEEE
Last updated: 11 Jun 2025
This standard defines a unified text approach to describing neural network architectures. This standard specifies data requirements, coding formats of neurons in neural networks, schemas for neural network architectures, and application scenarios. Ā© Copyright 2024 IEEE – All rights reserved.
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Pre-draft
Standards Body: IEEE
Last updated: 11 Jun 2025
This standard outlines the toolchain for deploying artificial intelligence (AI) models on edge devices and specifies the functional requirements for this process. The standard covers key areas such as frontend adaptation, model compression, graph optimization, backend adaptation, compiling optimization, and…
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Pre-draft
Standards Body: IEEE
Last updated: 11 Jun 2025