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.
Data-Driven Innovation
Resources and guidance for organisations deploying data-driven tools and technologies including AI.
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 conducts regular research that engages the public, including an annual tracker survey that measures how public attitudes to data-driven technology and AI vary over time.
Updates to this page
Last updated 15 November 2024 + show all updates
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Additional tools have been added in the AI assurance and Data-Driven Innovation categories.
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Added the research on parent and pupil attitudes towards the use of AI in education.
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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.