Centre for Data Ethics and Innovation

The CDEI has published a report detailing the findings from the third wave of its Public Attitudes Tracker Survey, which monitors how attitudes towards data and AI vary over time.

A new survey of public opinion in nine countries shows widespread support for AI safety testing.

This report, commissioned by the CDEI, outlines the findings from qualitative research conducted by Thinks Insight & Strategy on the topic of foundation models and their use in the public sector.

The CDEI has published a report summarising the key findings from its stakeholder engagement in support of the delivery of the Roadmap to an effective AI assurance ecosystem.

The CDEI has published a report detailing the findings from the second wave of its Public Attitudes Tracker Survey, which monitors how attitudes towards data and AI vary over time, and assesses the drivers of trust in data use.

The CDEI has published a report detailing the findings from the first wave of its tracker survey, which it has launched to monitor how attitudes towards data and AI vary over time, as well as to assess the drivers of trust in data use.

The CDEI has published the second edition of its AI Barometer, alongside the results of a major survey of UK businesses.

This report details the findings from a public engagement exercise, commissioned by the CDEI and conducted by BritainThinks, to understand attitudes towards data use.

The CDEI has published a roadmap, which is the first of its kind, setting out the steps required to build a world-leading AI assurance ecosystem in the UK.

The CDEI has published a paper on data intermediaries, which was commissioned by the Department for Digital, Culture, Media and Sport (DCMS).

As the tenure of the first Chair and Board of the CDEI comes to an end, the CDEI has published a two year review, highlighting insights and achievements from its first years of operation.

This report, commissioned by the CDEI, outlines the findings from a deliberative public engagement exercise conducted by BritainThinks about algorithmic transparency in the public sector.

The CDEI has published findings from the first of three experiments it has been running with the Behavioural Insights Team to test how digital interfaces can be designed to empower users to make active choices about their privacy and personalisation settings.

The CDEI has published new research on the use of AI and data-driven technology in the UK’s COVID-19 response, highlighting insights into public attitudes, as well as trends it has identified.

The CDEI has published new analysis on the use of data in local government during the COVID-19 crisis.

The CDEI has published the final report of its review into bias in algorithmic decision-making.

The CDEI has published its first report on public sector data sharing, which explores barriers to data sharing and focuses on addressing citizen trust.

The CDEI has published its AI Barometer, a major analysis of the most pressing opportunities, risks, and governance challenges associated with AI and data use in the UK, initially across five sectors.

The CDEI has published a Snapshot briefing paper looking at the uses and potential implications of facial recognition technology’s deployment in the UK.

Independent advisors on AI and data-driven technology publish first recommendations to government on social media targeting

The Royal United Services Institute (RUSI) has published research - commissioned by CDEI - into the use of algorithms in policing, and the potential for bias.

The CDEI has published its first series of snapshot papers on issues of public concern in AI ethics including deepfakes, AI and insurance and smart speakers.

The Centre for Data Ethics and Innovation has published interim reports on its two major reviews into online targeting and bias in algorithmic decision-making.

A developing framework through which the CDEI is analysing the governance of data-driven technology in the context of its work programme.

The CDEI's 2 year strategy sets out how it will investigate and advise on how to maximise the benefits of data-driven technologies