Sue Anie

Privacy-Preserving Federated Learning: Understanding the Costs and Benefits

Sue Anie and Paul Comerford (ICO), 22 February 2024 - Data, Data collection, Data-driven technology, Data-sharing

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

Emily Campbell-Ratcliffe, James Scott and Sue Anie, 13 February 2024 - Assurance

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 …

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The Responsible Technology Adoption Unit uses its blog to share regular updates about its work. It has published articles on a range of issues relating to the use of data and AI.

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Recent Posts

• Data protection considerations for implementing federated learning – a regulator’s perspective
• Introducing the Model for Responsible Innovation
• Data Pipeline Challenges of Privacy-Preserving Federated Learning
• Scalability Challenges in Privacy-Preserving Federated Learning
• Implementation Challenges in Privacy-Preserving Federated Learning

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• Nuala Polo on From Roadmap to Reality: Insights from Industry on Advancing AI Assurance

Recent posts

• Data protection considerations for implementing federated learning – a regulator’s perspective November 28, 2024
• Introducing the Model for Responsible Innovation November 21, 2024
• Data Pipeline Challenges of Privacy-Preserving Federated Learning November 11, 2024

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