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Welcome to our regular newsletter. Read on to find out what has been happening with the AI Standards Hub over the past couple of weeks.
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Upcoming event – Measuring trustworthiness in AI: Approaches and considerations from a metrology perspective |
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In this interactive webinar, experts from the National Physical Laboratory (NPL) – the UK’s national metrology institute – will discuss their work on measuring AI trustworthiness. This webinar will introduce concepts of trustworthy AI before diving deeper into the critical role of measurement for assuring trustworthiness. Attendees will have the unique opportunity to gain insights from and ask questions to leading experts in the fields of measurement science and trustworthy AI. |
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Upcoming event – Introducing the BS 30440 Validation Framework for the Use of AI in Healthcare |
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This webinar will provide an overview of the BS 30440 Validation Framework for the use of AI in Healthcare. As the use of AI systems in healthcare increases, so too does the need for these systems to undergo rigorous evaluation to assess their clinical benefits and to ensure their safe and ethical use. In this webinar, participants will gain an understanding of what BS 30440 is, how AI systems can be certified, and how this standard can be used for assuring AI systems in healthcare. |
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What's new in our standards database? |
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New standards added to the AI Standards Hub database |
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We added 10 new standards to our database this week, including some new additions from the IEEE’s influential 7000 series which addresses the intersection of technological and ethical considerations for AI and autonomous systems. These new additions include the IEEE 7005 standard for transparent employer data governance and the IEEE 7007 Ontological Standard for Ethically Driven Robotics and Automation Systems. You can now explore, follow, and engage with these standards and more, on the AI Standards Hub’s online platform. |
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Featured e-learning module: Introduction to AI assurance |
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The UK Government’s recently published AI regulation White Paper emphasises the role of standards and AI assurance as “tools for trustworthy AI” that will play a crucial role in implementing the UK’s AI regulatory approach. Our “Introduction to AI assurance” course, co-developed with the Centre for Data Ethics and Innovation (CDEI) provides an excellent starting point for anyone interested in learning about AI assurance, and how it relates to standards. The course describes what AI assurance is and why it is important, who and what is involved in the assurance process, and what that process might look like in practice. |
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Sign up for a user account |
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Creating a user account on the AI Standards Hub website will enable you to take advantage of a wide range of interactive features. Benefits include the ability to save standards and other database items to your personal dashboard, notifications when followed standards open for comment or move from draft to publication, being able to contribute to our community discussion forums, access to our e-learning modules, and much more! |
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