Metropolitan Police's Use of Live Facial Recognition Sparks Bias and Rights Concerns

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The Metropolitan Police's deployment of live facial recognition (LFR) technology has led to arrests and detentions, but experts and rights groups highlight ongoing issues of bias, particularly against ethnic minorities, and privacy violations. Despite police claims of bias-free operation, independent reviews and legal bodies dispute these assertions, citing insufficient evidence and potential human rights infringements.[AI generated]

Why's our monitor labelling this an incident or hazard?

The event explicitly involves an AI system (live facial recognition) used by the police. The expert critique focuses on bias in the system's outputs, which is a violation of human rights and fundamental rights protections. The system's use at a major public event despite these concerns means harm is ongoing or imminent. The AI system's role in producing biased false positives directly links it to harm. Hence, this is an AI Incident due to realized or ongoing harm related to bias and discrimination in law enforcement use of AI.[AI generated]
AI principles
FairnessRespect of human rightsPrivacy & data governanceTransparency & explainabilityAccountabilityRobustness & digital securityDemocracy & human autonomy

Industries
Government, security, and defence

Affected stakeholders
General public

Harm types
Human or fundamental rightsPsychological

Business function:
Compliance and justice

AI system task:
Recognition/object detection


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