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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

This SRD deals with the ethical implications and moral questions that arise from the development and implementation of Artificial Intelligence…
Published
Last Updated: 18 Jul 2024

Standards in development

This standard addresses Artificial Intelligence (AI) risks such as malicious use, AI race, organizational risks, and rogue AI’s. The standard defines the relevant terminology, potential applications, and a risk abatement strategy for the behavior of AI models. The standard does…
0 replies
2 followers
Pre-draft
Standards Body: IEEE
Last updated: 11 Jun 2025
This recommended practice provides a comprehensive framework for understanding, defining, and evaluating AI risks, AI safety, AI trustworthiness, and AI responsibility in order to address and manage them while preserving the benefits of innovation. This recommended practice takes into consideration…
0 replies
1 follower
Pre-draft
Standards Body: IEEE
Last updated: 11 Jun 2025
For the software engineering life cycle empowered by Generative Pre-trained Transformer (GPT) this recommended practice specifies: • a description and definitions, • the competency in each stage applying GPT, • levels of intelligence empowered by GPT, • intelligence level evaluation…
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0 followers
Pre-draft
Standards Body: IEEE
Last updated: 11 Jun 2025