A central hub of guidance, standards, and supporting documentation explaining how UK public sector bodies should record and publish information about algorithmic systems to ensure transparency and accountability.
This hub introduces the UK government's Algorithmic Transparency Recording Standard (ATRS), a structured framework for public sector bodies to disclose how they use algorithmic tools in decision-making.
A web-based platform that provides design principles, accessible UI components, and guidance to help teams across the UK government create consistent, user-centered digital services.
This review evaluates the UK public sector's use of digital technology, identifying successes and systemic challenges, and proposes reforms to enhance service delivery.
A collection that provides a comprehensive operational toolkit to help civil servants and public sector organizations deploy artificial intelligence safely, effectively, and securely.
A guidance page explaining how government teams should evaluate and use commercial-off-the-shelf (COTS) products and services when building digital public services.
The AI Insights publication series from the UK Government’s Government Digital Service (GDS) provides technical guidance to help public sector organisations understand, implement, and manage artificial intelligence systems safely and effectively.
This playbook provides government-wide guidance for planning, procuring, and managing digital, data, and technology (DDaT) projects with a focus on innovation, agile delivery, cybersecurity, sustainability, and commercial best practices.
The Technology Code of Practice is a set of government guidelines for designing, building, and buying digital services and technology to ensure they are efficient, accessible, and cost-effective in the UK.
These guidelines provide UK government organizations with best practices for responsibly and effectively procuring artificial intelligence (AI) systems.
