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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 provides guidance on how organizations that develop, produce, deploy or use products, systems and services that utilize artificial…
Published
Last Updated: 18 Jul 2024

Standards in development

This standard establishes a comprehensive set of criteria for the evaluation of Large Language Models (LLMs) and extends to multimodal models. Primarily, the standard provides a multi-dimensional evaluation framework for the users, teams, and enterprises who evaluate or use LLM…
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Standards Body: IEEE
Last updated: 14 Apr 2025
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…
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1 follower
Standards Body: IEEE
Last updated: 14 Apr 2025
This standard addresses the evaluation of safety, explainability, and stability of algorithms implementing autonomous driving levels, as defined by SAE J3016. The standard specifies the minimum requirements for experimental setups, data flow charts, algorithm pipelines, and automated quantitative evaluation metrics…
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Standards Body: IEEE
Last updated: 14 Apr 2025