Discover how GDS is using automation and secure design to improve how the government collects and analyses security assurance data.
The UK-US Privacy Enhancing Technologies (PETs) pilot demonstrates how privacy-by-design can be applied to international data sharing and provides a concrete model for future PETs projects across government. In this blog, we reflect on the governance lessons from the pilot.
The use of the Algorithmic Transparency Recording Standard (ATRS) became mandatory for central government in 2024. Read about how the GDS Data and AI ethics team have rolled out the mandate across government and how they have updated the ATRS to reflect learnings from this process.
The GOV.UK feedback form was receiving a lot of spam requests. We developed a machine learning model to detect spam responses — here is how we created it.
The Race Disparity Unit at the Cabinet Office Equalities Hub have analysed different approaches taken by national governments to understanding how they compare on issues such as ethnic diversity and cultural identity.
Richard Laux outlines the 3 main reasons for collecting data about people’s ethnicity and identifies 6 principles for collecting these to meet all users’ needs.
...look for specific accessibility content issues. We wrote it in Python, as it’s a GDS-supported programming language, and structured the code in a way that allowed us to write and...
...new technology. This includes adding more data related content to the Technology Code of Practice, the Service Manual and the Design System. Supporting the government data communities by bringing the...
...techniques to obscure sensitive or private information in datasets. These include statistical methods, deep learning techniques and natural language processing for the data types above. Typically they can be summarised...
...of the victim. New pages that we’d like to develop include loneliness, and access to gardens and other green spaces. New data pages in development ‘Ethnicity facts and figures’ includes...