Data manual

A guide to working with data in government and the public sector

AI and data-driven technologies

How to use AI safely and effectively in government.

AI Playbook for the UK Government

The AI Playbook is for civil servants and people working in government organisations. It explains what AI is – including its capabilities, limitations and risks – and how to select, buy and deploy AI in government.

AI.GOV.UK Knowledge Hub

Find examples of how AI is used in government and ways to support AI experimentation in your organisation. The hub includes custom tools developed by AI teams across the public sector, and a prompt library of AI instructions submitted by users. There’s also a range of user-friendly guides on using AI and building and running AI.

AI resources for the public sector

A general page with links to free Civil Service e-learning courses, a series of AI Insights articles, the cross-government AI community and the government’s Microsoft 365 Copilot experiment.

Data and AI Ethics Framework

This framework is for teams in the public sector that are designing, building, maintaining, using or updating projects that use data and AI. It will help your team understand ethical considerations and how to address these in your work. The framework includes a self-assessment tool for capturing information and sharing challenges and progress with colleagues.

The Model for Responsible Innovation

A practical tool to help public sector teams innovate responsibly with data and AI. The government uses this model to run red-teaming workshops with teams developing data-driven technology. The workshops provide hands-on support to help teams identify and address threats to trustworthiness in their current use cases.

Using AI to manage the digital heap

A guide for digital, data and knowledge and information management (KIM) professionals in government. The guide helps you to integrate AI and data science techniques into how you manage your organisation’s ‘digital heap’. This refers to unstructured data held in repositories and communication systems, such as documents, posts, chat messages, emails, images and recordings.

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