Our latest research, guidance and articles, which explore the current ecosystems of data and AI to foster understanding and solutions to ensure that data and AI work for people and society.
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Tracking public and private applications of public health identity systems and collating and monitoring as details emerge into the public domain.
Findings from an expert workshop exploring lessons learned from data-driven initiatives that emerged in response to COVID-19.
A summary of the Ada Lovelace Institute's response to the National Data Strategy consultation.
Rethinking different aspects of data: narratives, practices and regulations.
Public understanding, ethical guidance and legal frameworks have not kept up with the development of data-driven and AI technologies.
Lessons to assist Government and policymakers navigating difficult dilemmas when deploying data-driven technologies to manage the pandemic
A review of existing UK mechanisms for transparency, and their contribution to making public information relating to the implementation of algorithmic
Joint briefing with Reset, giving insights and recommendations towards a practical route forward for regulatory inspection of algorithms
Exploring the datafication of health: what it is, how it occurs, and its impacts on individual and social wellbeing.
Findings of a public online deliberation project on attitudes to the use of COVID-19 related technologies for transitioning out of lockdown
An update to the COVID-19 rapid evidence review: Exit though the App Store?
Identifying common language for algorithm audits and impact assessments.