Facial recognition errors put ethnic minorities at risk of wrongful arrest, police watchdog warns
Summary
A report by His Majesty’s Inspectorate of Constabulary warns that police may wrongly identify or arrest people if they treat retrospective facial recognition results as evidence instead of leads that need checking. It cites algorithmic bias, poor-quality images, weak follow-up inquiries and gaps in legal safeguards, and says forces need stronger oversight to maintain public confidence.Key Facts
- The report covers retrospective facial recognition, which searches stored images, rather than live facial recognition used in real time.
- Inspectors found that some investigators did not understand that facial recognition results were intelligence requiring further checks before enforcement action.
- In a small number of cases, officers relied too heavily on possible matches and took inappropriate investigative action, the report said.
- The report said the system may be more likely to wrongly flag people from ethnic minorities.
- Auditors found users had submitted blurred images, unsuitable images or images with multiple faces, which reduced the reliability of matches.
- Inspectors found that some custody images were retained even though they should have been deleted.
- The report said there is no comprehensive statutory framework governing facial recognition and that existing legislation has not kept pace with changes in the technology.
- Inspector Kathryn Stone called for stronger safeguards, national standards, governance and oversight, while keeping human judgment in decisions.
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