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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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Events

Published standards

IEEE 2894

Guide for an Architectural Framework for Explainable Artificial Intelligence

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HorizontalAI-specificAccountabilityAccuracy and performance
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This guide specifies an architectural framework that facilitates the adoption of explainable artificial intelligence (XAI). This guide defines an architectural…
Published
Last Updated: 18 Jul 2024
IEC SRD 63416:2023 ED1

Ethical considerations of Artificial Intelligence (AI) when applied in the Active Assisted Living (AAL) context

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VerticalAI-specificBias and discriminationExplainability and transparency
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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 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…
Domain:
Horizontal
Scope:
AI-specific
Topic:
InteroperabilitySecurity and resilience
Type of Standard:
Foundational and terminologyProcess, management and governance
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0 replies
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Published
Standards Body: ETSI
Last updated: 31 Oct 2024
Project to update CTA 2107 clarifying existing language. To include: – Clarifying the use of the term “validation”; – Relocating some of the text to be more consistent. For example, in section 5.4.1 about training data, there is a requirement…
Domain:
Healthcare and medicine
Scope:
AI-specific
Topic:
Data managementData processingData protection
Type of Standard:
Foundational and terminology
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0 replies
1 follower
Published
Standards Body: ANSI
Last updated: 31 Oct 2024
The intent of this work item is to extend from the published work of SAI to address the issues of design of AI platforms (data, algorithms, frameworks) that are able to give assurance of explainability and transparency of decisions. This…
Domain:
Horizontal
Scope:
AI-specific
Topic:
Explainability and transparency
Type of Standard:
Process, management and governance
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0 replies
1 follower
Published
Standards Body: ETSI
Last updated: 31 Oct 2024