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Transparency

Algorithmic Transparency Recording Standard: Getting ready for adoption at scale

Liz Adams and Max Greenwood, 7 March 2024 - Algorithms, Transparency

Today, the Responsible Tech Adoption Unit (RTA) in DSIT and the CDDO (Central Digital and Data Office) are launching updated products to better support public sector organisations in using the Algorithmic Transparency Recording Standard (ATRS). This includes a new gov.uk …

Developing the Algorithmic Transparency Standard in the open

Elena Hess-Rheingans, Central Digital and Data Office and Lara Bird, Centre for Data Ethics and Innovation, 10 October 2022 - Algorithms, Transparency, Trustworthy innovation

Today the Central Digital and Data Office (CDDO) and the Centre for Data Ethics and Innovation (CDEI) are sharing an updated version of the Algorithmic Transparency Standard on GitHub. Sharing the updated Standard on GitHub will allow interested stakeholders to …

Piloting the UK algorithmic transparency standard

Amy Dickens and Elena Hess-Rheingans, Central Digital and Data Office, 1 June 2022 - Algorithms, Transparency, Trustworthy innovation

Today, the Central Digital and Data Office (CDDO)  and Centre for Data Ethics and Innovation (CDEI) have published the first reports from our transparency standard pilots. The public sector algorithmic transparency standard is one of the world’s first initiatives of …

Engaging with the public about algorithmic transparency in the public sector

Natalia Domagala, Central Digital and Data Office and Hannah Spiro, Centre for Data Ethics and Innovation, 21 June 2021 - Algorithms, Public engagement, Transparency

Making decisions about individuals is a key responsibility for many parts of the public sector, and there is increasing recognition of the opportunities offered through the use of data and algorithms in this decision-making. But these opportunities will only be …

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The Responsible Technology Adoption Unit uses its blog to share regular updates about its work. It has published articles on a range of issues relating to the use of data and AI.

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