“We can only infer that Uber’s failure to address the issues with its facial recognition algorithm reflects a complete lack of care for Black people and their livelihoods,” said a BLMUK spokesperson.
“The algorithm that is used by Uber is five times more likely to fail in identifying dark skinned drivers. This has led to hundreds of unfair dismissals. The gig economy already creates immense precarity for Black key workers and it is now further exacerbated by this software.”
Nine out of 10 private hire drivers in London are Black or Black British, Asian or Asian British, or of mixed race, according to a recent survey by TfL.
Continue reading for free
Registration is free and takes less than 30 seconds.
Our supporters make Big Issue’s work possible. Join us to see the impact we’re having together and discover more ways to help people facing poverty access income, opportunity and support.
Bell Ribeiro-Addy MP for Streatham, Apsana Begum MP for Poplar and Limehouse and Zarah Sultana MP for Coventry South have all tweeted their support of the strikers.
“Uber is a mega-corporation, worth billions of pounds with bosses earning fortunes. But the drivers are exploited, underpaid & unfairly deactivated… Show your solidarity by switching off the app for 24 hours,” wrote Sultana.
The Uber Eats driver involved in the IWGB claim, Abiodun Ogunyemi, spoke to The Big Issue last month. He had an approval rating of 94 per cent and lost his job after the facial recognition software failed to recognise him.
Advertising helps fund Big Issue’s mission to end poverty
The software, named the Real-Time ID system and made by Microsoft, triggered the company’s safeguarding protocols – which stops people other than drivers using an account – and terminated his profile.
At least 35 other drivers have had their registration with Uber terminated as a result of alleged mistakes with the software since the start of the pandemic, claims the IWGB.
An Uber spokesperson said: “Our Real-Time ID Check is designed to protect the safety and security of everyone who uses the Uber app by helping ensure the correct driver is behind the wheel.
“The system includes robust human review to make sure that this algorithm is not making decisions about someone’s livelihood in a vacuum, without oversight.”