Women s Roles Over Time - amazonia.fiocruz.br

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Women s Roles Over Time Video

By Jeffrey Dastin. O machine-learning specialists uncovered a big problem: their new recruiting engine did not like women.

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But bythe company realized its new system was not rating candidates for software developer jobs and other Rkles posts in a gender-neutral way. Most came from men, a reflection of male dominance across the tech industry. They did not specify the names of the schools. Amazon edited the programs to make them neutral to these particular terms.

But that was no guarantee that the machines would not devise other ways of sorting candidates that could prove discriminatory, the people said.

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The Seattle Women s Roles Over Time ultimately disbanded the team by the start of last year because executives lost hope for the project, according to the people, who spoke on condition of anonymity. It did not dispute that recruiters looked at the recommendations generated by the recruiting engine. The company's experiment, which Ober is first to report, offers a case study in the limitations of machine learning. N that are looking to automate portions of the hiring process. Some 55 percent of U. Employers have long dreamed of harnessing technology to widen the hiring net and reduce reliance on subjective opinions of human recruiters.

But computer scientists such as Nihar Shah, who teaches machine learning at Carnegie Mellon University, say there is still much work to do.

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Machine learning was gaining traction in the technology world, thanks to a surge in low-cost computing power. Their goal was to develop AI that could rapidly crawl the web and spot candidates worth recruiting, the people familiar with the matter said. The group Tme computer models focused on specific job functions and locations.]