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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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The NHS COVID-19 app: is it an enduring public health technology?
Will the long-awaited contract tracing app deliver on its promises for 2020 and beyond?
Doing good with data: what does good look like when it comes to data stewardship?
Data can help tackle the world’s biggest challenges, if we ask the right questions about governance and apply principles for stewardship.
Should more public trust in data-driven systems be the goal?
To better understand the limits of public trust in data-driven systems, we must acknowledge the role structural inequalities play in shaping trust
Can algorithms ever make the grade?
The failure of the A-level algorithm highlights the need for a more transparent, accountable and inclusive process in the deployment of algorithms.
Why algorithms aren’t the answer: what the public needs to trust technology
A ten-point checklist for the Test and Trace team working on contact tracing app 2.0, based on the findings of rapid online public deliberation.
Facial recognition technology needs proper regulation – Court of Appeal
The appeal of R (Bridges) v Chief Constable of South Wales shows that, when it comes to facial recognition technology, the status quo cannot continue.
Ownership or rights: what’s the path to achieving true agency over data?
Myths and themes to emerge from our panel discussion on data ownership at RightsCon 2020
COVID-19: How public health emergencies have been repurposed as security threats
Shedding light on the capacity of technology to trace and monitor the movement of individuals.
It’s complicated: what the public thinks about COVID-19 technologies
Lessons developers and policymakers must learn from the public about COVID-19 technologies.
What is visualised is realised: models and the fallacy of risk
How mathematical models of infection structure the messages people receive about risk and responsibility.
Data, Compute, Labour
The monopolisation of AI is not just – or even primarily – a data issue.
To be seen we must be measured: data visualisation and inequality
How data, bodies and experience entwine.