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Writing, thinking and debating about how data and AI can be made to work for people and society
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COVID-19: How public health emergencies have been repurposed as security threats
It’s complicated: what the public thinks about COVID-19 technologies
What is visualised is realised: models and the fallacy of risk
Data, Compute, Labour
To be seen we must be measured: data visualisation and inequality
Society and people: systemic racial injustice and cleaning up our own house
What should the Ada Lovelace Institute do to address systemic racial injustice?
Turn it off and on again: lessons learned from the NHS contact tracing app
A rapid online deliberation on COVID-19 technologies: building public confidence and trust
Making visible the invisible: what public engagement uncovers about privilege and power in data systems
The EU Data Strategy: three key questions
Something to declare? Surfacing issues with immunity certificates
