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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 document specifies the requirements and provides guidance for establishing, implementing, maintaining and continually improving an artificial intelligence management system…
Pre-draft
Last Updated: 7 Feb 2024

Standards in development

Data interchange and standard software services for test and diagnostic environments are defined by Artificial Intelligence Exchange and Service Tie to All Test Environments (AIESTATE). The purpose of AI-ESTATE is to standardize interfaces for functional elements of an intelligent diagnostic…
0 replies
1 follower
Published
Standards Body: IEC, BSI
Last Updated: 2 Feb 2024
This document reviews current aerospace software, hardware, and system development standards used in the certification/approval process of safety-critical airborne and ground-based systems, and assesses whether these standards are compatible with a typical Artificial Intelligence (AI) and Machine Learning (ML) development…
0 replies
1 follower
Published
Standards Body: SAE
Last Updated: 2 Feb 2024
This document provides the landscape for understanding and associating of “Data quality for analytics and ML” series and guides the foundational concepts regarding data quality for analytics and artificial intelligence. It also describes associated technologies and examples (e.g. use cases…
0 replies
1 follower
Draft
Standards Body: ISO/IEC
Last Updated: 2 Feb 2024