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Data Distribution in Privacy-Preserving Federated Learning

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This post is part of a series on privacy-preserving federated learning. The series is a collaboration between the Responsible Technology Adoption Unit (RTA) and the US National Institute of Standards and Technology (NIST). Learn more and read all the posts …

Privacy-Preserving Federated Learning: Understanding the Costs and Benefits

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Privacy Enhancing Technologies (PETs) could enable organisations to collaboratively use sensitive data in a privacy-preserving manner and, in doing so, create new opportunities to harness the power of data for research and development of trustworthy innovation. However, research DSIT commissioned …

How the ‘Introduction to AI assurance’ guide is supporting government’s innovative approach to AI regulation

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DSIT’s Responsible Technology Adoption (RTA) Unit is pleased to publish its Introduction to AI assurance. This guidance is an accessible introduction that aims to support organisations to better understand how AI assurance techniques can be used to ensure the safe …