US EditionMet Deploys Live Facial Recognition at Notting Hill Carnival as National Rollout Gathers Pace
- The Metropolitan Police planned to deploy live facial recognition cameras at London's Notting Hill Carnival on August 24-25, 2024, aiming to identify suspects in large crowds.
- This rollout follows a significant increase in LFR use in the UK since 2016, with 4.7 million faces scanned and around 100 deployments since early 2024 despite lack of explicit legislation.
- Supporters, including Metropolitan Police chief Mark Rowley, cite over 1,000 arrests in 2024 and crime reduction, while rights groups and 11 organizations criticize the technology's racial bias and unlawful use.
- John Kirkpatrick, chief executive of the Equality and Human Rights Commission, highlighted that current live facial recognition practices conflict with established legal protections, including individuals' entitlements to privacy, free speech, and peaceful gathering.
- The controversy suggests ongoing tensions between public safety goals and privacy rights, with calls for a clear legal framework focused on serious crimes and proper safeguards.
105 Articles
105 Articles
Met chief confirms live facial recognition 'without bias' will be used at Notting Hill carnival
Metropolitan Police boss Sir Mark Rowley has said live facial recognition (LFR) technology will be used without bias amid concerns about it being deployed at this year's Notting Hill Carnival.
London, UK. During the Notting Hill carnival, which awaits the attendance of two million people, facial recognition cameras were placed in the accesses to the event to detect in real time people wanted by the authorities. Metropolitan Police explained that the technology allows comparing faces between the crowds with their database. The goal is to identify and intercept suspects immediately.The head of the institution, Mark Rowley, said this too…
leprogres.fr
According to the police, the objective is to "identify and intercept" the wanted people live. But facial recognition worries NGOs abroad...
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