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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

Standards in development

The work item will specify extensions and new capabilities (so-called ‘AI enablers’) for the ZSM framework reference architecture providing support for the automation of management functionalities and operations based on Artificial Intelligence (AI), applicable end-to-end and per management domain. The…
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Published
Standards Body: ETSI
Last updated: 31 Oct 2024
This work item covers security aspects of pervasive and collaborative artificial intelligence (AI) (e. g., federated learning, transfer learning, distributed reinforcement learning, decentralized machine learning), where multiple AI agents are pervasively distributed in different places but interact with each other…
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Published
Standards Body: ETSI
Last updated: 31 Oct 2024
This DIN SPEC has been developed within a DIN SPEC consortium. The document was developed and approved by organizations named in the Foreword. This document specifies general guidance and requirements for the development and use of methods for quantifying uncertainty…
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Published
Standards Body: DIN
Last updated: 31 Oct 2024