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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The Citizens’ Biometrics Council
Report with recommendations and findings of a public deliberation on biometrics technology, policy and governance
A data divide based on use, acceptability and comfort
Differences in public attitudes between those who have chosen to use COVID-19 technologies, and those who have chosen not to
A data divide in the reasons for using or not using technologies: collective and individual benefit
Belief in accuracy and effectiveness strongly correlated with why people chose (or chose not) to use COVID-19 technologies, survey finds
Public attitudes towards vaccine passports
Findings from a nationally representative survey on public attitudes towards a range of COVID-19 technologies, including vaccine passports
The data divide
Public attitudes to tackling social and health inequalities in the COVID-19 pandemic and beyond
A data divide based on access
A significant proportion of the UK public lacks adequate access to data infrastructures, such as broadband, connectivity and smartphones, survey finds
A data divide based on knowledge, awareness and skills
A large proportion of the UK public lacks awareness of the existence of certain COVID-19 technologies, survey finds
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
Corporate and contractual mechanisms
Chapter three from Exploring legal mechanisms for data stewardship – a joint publication with the AI Council
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
Data cooperatives
Chapter two from Exploring legal mechanisms for data stewardship – a joint publication with the AI Council
Data trusts
Chapter one from Exploring legal mechanisms for data stewardship – a joint publication with the AI Council