From the Philippines to Colombia, low-paid workers label training data for AI models used by the likes of Amazon, Facebook, Google, and Microsoft.
Her friend told her about Appen, an Australian data services company that was looking for crowdsourced workers to tag training data for artificial intelligence algorithms. Most internet users will have done some form of data labeling: identifying images of traffic lights and buses for online captchas.
“Workers in Latin America are labeling images, and those labeled images are going to feed into AI that will be used in the Global North,” she says. “While it might be creating new types of jobs, it's not completely clear how fulfilling these types of jobs are for the workers in the region.” Due to the ever moving goal posts of AI, workers are in a constant race against the technology, says Schmidt.
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