Library
Our reports offer ideas, analysis, research and policy recommendations for data and AI that lead to greater wellbeing and social justice
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How to make a Citizens’ Biometrics Council
Answers to some of the most frequently asked questions about how we ran the Citizens’ Biometrics Council
The Citizens’ Biometrics Council
Report with recommendations and findings of a public deliberation on biometrics technology, policy and governance
The data divide
Public attitudes to tackling social and health inequalities in the COVID-19 pandemic and beyond
Public attitudes to COVID-19, technology and inequality: a tracker
Tracking studies and projects that offer insight into people’s attitudes and perspectives to COVID-19, technology and inequality
Exploring legal mechanisms for data stewardship
A joint publication with the AI Council, which explores three legal mechanisms that could help facilitate responsible data stewardship
What place should COVID-19 vaccine passports have in society?
Findings from a rapid expert deliberation to consider the risks and benefits of the potential roll-out of digital vaccine passports
Learning data lessons: data access and sharing during COVID-19
Findings from an expert workshop exploring lessons learned from data-driven initiatives that emerged in response to COVID-19.
Ada’s National Data Strategy consultation response
A summary of the Ada Lovelace Institute's response to the National Data Strategy consultation
Living online: the long-term impact on wellbeing
The Ada Lovelace Institute and Health Foundation’s response to the House of Lords COVID-19 Committee’s call for evidence
Our strategy 2019-2020
Public understanding, ethical guidance and legal frameworks have not kept up with the development of data-driven and AI technologies.
No green lights, no red lines
Lessons to assist Government and policymakers navigating difficult dilemmas when deploying data-driven technologies to manage the pandemic
Inspecting algorithms in social media platforms
Joint briefing with Reset, giving insights and recommendations towards a practical route forward for regulatory inspection of algorithms