In effect, Amazon’s system taught itself that male candidates were preferable.
Most came from men, a reflection of male dominance across the tech industry. That is because Amazon’s computer models were trained to vet applicants by observing patterns in resumes submitted to the company over a 10-year period. “They literally wanted it to be an engine where I’m going to give you 100 resumes, it will spit out the top five, and we’ll hire those.”īut by 2015, the company realized its new system was not rating candidates for software developer jobs and other technical posts in a gender-neutral way. “Everyone wanted this holy grail,” one of the people said. The company’s experimental hiring tool used artificial intelligence to give job candidates scores ranging from one to five stars - much like shoppers rate products on Amazon, some of the people said. The team had been building computer programs since 2014 to review job applicants’ resumes with the aim of mechanizing the search for top talent, five people familiar with the effort told Reuters.Īutomation has been key to Amazon’s e-commerce dominance, be it inside warehouses or driving pricing decisions.
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