Why did Essex police pause live facial recognition use?

Essex police paused their use of live facial recognition systems after a study identified potential accuracy and bias risks, specifically that the technology was significantly more likely to correctly identify Black participants.

What did the study find about facial recognition technology?

The study found that live facial recognition technology was statistically significantly more likely to correctly identify Black participants than participants from other ethnic groups, and also more likely to correctly identify men than women.

What are the concerns regarding facial recognition bias?

Concerns exist that AI surveillance technology, such as live facial recognition, may be inaccurate or biased, with a recent study indicating it is more likely to flag Black individuals and men.

Home / Crime and Justice / Facial Recognition Bias: Black People More Targeted

Facial Recognition Bias: Black People More Targeted

19 Mar

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Summary

AI cameras are significantly more likely to identify Black individuals.
Essex police paused live facial recognition use due to bias risks.
A study found AI systems better identify men than women.

Facial Recognition Bias: Black People More Targeted

Live facial recognition (LFR) technology, utilized by at least 13 police forces across England and Wales, is facing scrutiny after a study found it disproportionately targets Black individuals. Essex police have suspended their use of these AI systems following the discovery of potential accuracy and bias risks.

A commissioned study by University of Cambridge academics in Chelmsford involved 188 actors and actively deployed police cameras. While overall identification accuracy was around 50%, with rare incorrect matches, the system demonstrated a statistically significant higher likelihood of correctly identifying Black participants over others. This disparity, according to the study's authors, warrants further investigation.