Incident 418: Uber Locked Indian Drivers out of Accounts Allegedly Due to Facial Recognition Fails

Description: Uber drivers in India reported being locked out of their accounts allegedly due to Real-Time ID Check's facial recognition failing to recognize appearance changes or faces in low lighting conditions.

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Alleged: Uber and Azure Cognitive Services developed an AI system deployed by Uber, which harmed Uber drivers in India.

Incident Stats

Incident ID
418
Report Count
3
Incident Date
2017-03-13
Editors
Khoa Lam
Applied Taxonomies
MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

7.3. Lack of capability or robustness

Risk Domain

  1. AI system safety, failures, and limitations

Entity

AI

Timing

Post-deployment

Intent

Unintentional

Hyderabad driver says Uber app locked him out after shaving head, Uber denies
thenewsminute.com · 2021

Neradi Srikanth has been an Uber driver since 2019 and has made 1,428 trips so far for the taxi aggregator platform. The 23-year-old has a 4.67 rating on the app, but has been locked out of it since February 27, 2021. While he says it’s bec…

Uber’s facial recognition is locking Indian drivers out of their accounts
technologyreview.com · 2022

Correction: this story has been updated to include Uber's response. The opening has been amended to remove an anecdote about a specific driver's experience based on that response.

Uber drivers in India say that problems with the facial reco…

Big problem has come in Uber App! If you cut your hair or shave, then there will be a problem
hindi.news18.com · 2022
AI Translated

Uber Facial Recognition: These days Uber drivers are facing some problem with facial recognition in the company's app. Because of this, the work of the drivers is being affected. In a report by MIT, it has been told that many drivers are fa…

Variants

A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.
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