Browse the Ada Lovelace Institute website.
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The rule of trust
Findings from citizens’ juries on the good governance of data in pandemics.
The role of good governance and the rule of law in building public trust in data-driven responses to public health emergencies
Citizens' juries on the trustworthiness of data-driven technologies used in a public health emergency.
How charting public perspectives can show the way to unlocking the benefits of location data
A review of existing research on public attitudes towards location data and related ethical considerations
Building public confidence in data-driven systems
Findings of the Office for Statistics Regulation review into the 2020 exam results algorithm, and why public confidence in data-driven systems matters
How to make a Citizens’ Biometrics Council
Answers to some of the most frequently asked questions about how we ran the Citizens’ Biometrics Council
What is or isn’t OK when it comes to the use of biometric technologies?
Launch event for the final report of the Citizens' Biometrics Council – findings and recommendations
The Citizens’ Biometrics Council
Report with recommendations and findings of a public deliberation on biometrics technology, policy and governance
Public demands stronger regulation for all biometric technologies, the Ada Lovelace Institute finds
The Ada Lovelace Institute's Citizens' Biometrics Council concludes that biometric technologies require stronger regulation
Public dialogue on the ethics of location data
A partnership with Traverse, the Geospatial Commission and Sciencewise to understand public perspectives on the responsible use of location data.
Rapid, online deliberation on COVID-19 technologies
Rapid, online deliberation with 28 members of the public on COVID-19 exit strategies.
No green lights, no red lines
Lessons to assist Government and policymakers navigating difficult dilemmas when deploying data-driven technologies to manage the pandemic
Tackling health and social inequalities in data-driven systems
Research to examine the interaction between data-driven systems and health and social inequalities, in the wake of COVID-19.