Bias in machine learning can be a problem even for companies with plenty of experience with AI, like Amazon. According to a report from Reuters, the e-commerce giant had to scrap an internal project that was trying to use AI to vet job applications after the software consistently downgraded female candidates.
Because AI systems learn to make decisions by looking at historical data they often perpetuate existing biases. In this case, that bias was the male-dominated working environment of the tech world. According to Reuters, Amazon’s program penalized applicants who attended all-women’s colleges, as well as any resumes that contained the word “women’s” (as might appear in the phrase “women’s chess club”).
The team behind the project…
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