Keep the beard: Improved test photos help facial recognition make a better match
Researchers at the University of Wisconsin-Madison have found that using higher-quality or better-controlled test photos improves the accuracy of facial recognition systems, including when subjects have beards or other facial features that vary over time.
Why this matters: Facial recognition already struggles with accuracy gaps across different people and conditions. Better test photos closing that gap sounds like progress, but it cuts both ways. More accurate matching means the systems work more reliably in airports, police databases, and workplace surveillance. The people who decided you should be in those databases did not ask you first. Accuracy improvements handed to systems that already lack oversight just mean they fail less often — not that they are used fairly.
Who should care: Privacy officers · Cybersecurity · General readers · Policy
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