Can AI Save Us From Bias In The Diverse, Nonbinary Workforce Of The Future?

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Can AI Save Us From Bias In The Diverse, Nonbinary Workforce Of The Future?
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Tech that saves companies from their own biases faces the uphill battle of a more diverse and non-binary workforce by Immelty

: The AI system had taught itself, based on past Amazon hiring patterns, that the most successful candidates were male.

“It would be possible to create biased systems. We wanted to make sure that that bias didn’t get out of control,” John Jersin, vice president of product, talent solutions and careers at LinkedIn, said about the company’s software. “We can use techniques to influence people to reduce bias in outcomes."

The majority of LinkedIn’s users may fit into gender binaries, but for the coming workforce this may not be the case, according to Nicole Sanchez, founder and managing partner of Vaya Consulting, which leads Fortune 500 companies in diversity and inclusion training. Recruiting for the existing workforce rather than the one that is coming can cause hiring professionals to reinforce biases, perpetuating a flawed system.

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