British Police Built a Sprawling Crime-Prediction Machine. Some Results Couldn’t Be Trusted
Key takeaways
- On top of this sensitive data, officials built machine-learning models to assign scores to thousands of adults and children.
- WIRED has made this article free for all to read because it is primarily based on reporting from public records requests.
- This risk scoring inside the Think Family Database was just one part of Avon and Somerset Police’s sprawling predictive analytics program.
Why this matters: a development in AI with implications for how people work, create, and decide.
Photo-Illustration: Lena Weber; Getty Images Comment Loader Save Story Save this story Comment Loader Save Story Save this story The Think Family Database holds records on close to half a million people who live in the city of Bristol, England. For many years, few of them knew anything about it.
Launched in 2016 by the Bristol City Council and the regional Avon and Somerset Police, the database has stored all manner of sensitive information—police intelligence reports, housing status, mental health records, teenage pregnancies, enrollment in parenting courses, free school meals. On top of this sensitive data, officials built machine-learning models to assign scores to thousands of adults and children. They hoped to build what they called a “picture of threat, harm, and risk” in the region. At an event in early 2022 to help officials tackle child exploitation crimes, one police data scientist described part of the approach this way: “I essentially dump all that data in a big bucket and stir it with a data-science spatula, and we come out with a lovely risk score for everybody.”
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