Lisa Udechukwu, a data quality analyst whose work focuses on AI annotation, data integrity, and trustworthy AI evaluation, says the AI Systems failing many global users have a data problem and not a technology problem
Udechukwu, also an executive member of Africa Privacy Roundup, an African-led organization focused on data protection and AI governance, told BusinessDay that when the data used to train AI ignores most of the world, the failures aren’t bugs. They’re built in.
“In 2015, Google Photos automatically tagged photos of two Black people as ‘gorillas.’ The company’s fix, years later, was to remove the categories ‘gorilla,’ chimp,’ and monkey’ from its image classifier entirely, not to fix the underlying data. The problem wasn’t a glitch. It was a symptom.
“I’ve spent years working inside annotation pipelines at companies like Pinterest and Meta — the unglamorous infrastructure layer where human judgment gets converted into training signals for
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