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Privacy-Preserving Federated Learning: Understanding the Costs and Benefits

Posted by: and , Posted on: - Categories: Data, Data collection, Data-driven technology, Data-sharing

Privacy Enhancing Technologies (PETs) could enable organisations to collaboratively use sensitive data in a privacy-preserving manner and, in doing so, create new opportunities to harness the power of data for research and development of trustworthy innovation. However, research DSIT commissioned …

Working with the ICO to encourage the adoption of PETs

Posted by: , Posted on: - Categories: Algorithms, Artificial intelligence, Data, Ethical innovation

Last year, the CDEI launched a responsible data access programme to address the challenges organisations face to access data they need in a responsible way. A key component of this programme is our work to encourage adoption of Privacy-Enhancing Technologies …

Improving responsible access to demographic data to address bias

Posted by: and , Posted on: - Categories: Algorithms, Artificial intelligence, Bias, Data, Demographic data, Intermediaries, Trust

Following our review into bias in algorithmic decision-making, the CDEI has been exploring challenges around access to demographic data for detecting and mitigating bias in AI systems, and considering potential solutions to address these challenges.  Today we are publishing our …

Developing the Algorithmic Transparency Standard in the open

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 …

Enabling the responsible use of AI in defence

Posted by: , Posted on: - Categories: Artificial intelligence, Data, Trustworthy innovation

The Ministry of Defence (MoD) has today published the UK’s Defence AI Strategy, outlining how the UK will prioritise research, development and experimentation to revolutionise the UK’s Armed Forces capabilities. Additionally, the MoD has published a policy on the ‘Ambitious, …

Enabling responsible access to demographic data for algorithmic bias detection

Posted by: , and , Posted on: - Categories: Bias, Demographic data, Trustworthy innovation

This week, we announced the launch of a new programme of work around enabling responsible access to data. One of the initial workstreams in this programme is exploring the potential for novel approaches to data stewardship to support organisations to …