AI is worse at identifying household items from lower-income countries

Object recognition algorithms sold by tech companies, including Google, Microsoft, and Amazon, perform worse when asked to identify items from lower-income countries.

These are the findings of a new study conducted by Facebook’s AI lab, which shows that AI bias can not only reproduce inequalities within countries, but also between them.

In the study, researchers tested five popular off-the-shelf object recognition algorithms — Microsoft Azure, Clarifai, Google Cloud Vision, Amazon Rekognition, and IBM Watson — to see how well each program identified household items collected from a global dataset.

The dataset included 117 categories (everything from shoes to soap…

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