Responsible AI Toolkit
Toolkit for practitioners to support the responsible use of AI systems.
This toolkit of guidance aims to support organisations and practitioners to safely and responsibly develop and deploy AI systems.
The toolkit was developed by the Responsible Technology Adoption Unit, and will be updated over time with new resources.
Public Sector Innovation
Resources and guidance for public sector organisations deploying data-driven technologies.
AI Assurance Toolkit
Resources and guidance for practitioners interested in finding out how assurance techniques can support the development of responsible AI.
Algorithmic Transparency Recording Standard
The Algorithmic Transparency Recording Standard helps public sector organisations provide clear information about the algorithmic tools they use, and why they’re using them.
Research into public attitudes towards data and AI
The Responsible Technology Adoption Unit’s Public Attitudes Insights team runs an annual tracker survey to measure how public attitudes to data-driven technology and AI vary over time.
Updates to this page
Last updated 19 April 2024 + show all updates
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Added the DfE and DSIT guidance on developing and using data analytics tools in children's social care.
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First published.