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posted by martyb on Thursday October 11 2018, @03:59AM   Printer-friendly
from the unseen-bias-is-still-bias dept.

Submitted via IRC for chromas

Amazon scraps secret AI recruiting tool that showed bias against women

SAN FRANCISCO (Reuters) - Amazon.com Inc’s (AMZN.O) machine-learning specialists uncovered a big problem: their new recruiting engine did not like women.

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.

Automation has been key to Amazon’s e-commerce dominance, be it inside warehouses or driving pricing decisions. 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.

[...] But 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.

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. Most came from men, a reflection of male dominance across the tech industry. 

In effect, Amazon’s system taught itself that male candidates were preferable. It penalized resumes that included the word “women’s,” as in “women’s chess club captain.” And it downgraded graduates of two all-women’s colleges, according to people familiar with the matter. 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.

The Seattle company 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. Amazon’s recruiters looked at the recommendations generated by the tool when searching for new hires, but never relied solely on those rankings, they said.

rinciples.


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  • (Score: 2) by MichaelDavidCrawford on Thursday October 11 2018, @08:47PM (3 children)

    by MichaelDavidCrawford (2339) Subscriber Badge <mdcrawford@gmail.com> on Thursday October 11 2018, @08:47PM (#747638) Homepage Journal

    There were only two resumes with that word in it so the AI figured they were undesirable

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    Yes I Have No Bananas. [gofundme.com]
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  • (Score: 2) by Alfred on Friday October 12 2018, @01:32PM (2 children)

    by Alfred (4006) on Friday October 12 2018, @01:32PM (#747889) Journal
    Not sure if you are joking or not
    • (Score: 2) by MichaelDavidCrawford on Saturday October 13 2018, @12:10AM (1 child)

      by MichaelDavidCrawford (2339) Subscriber Badge <mdcrawford@gmail.com> on Saturday October 13 2018, @12:10AM (#748124) Homepage Journal

      Here is a problem: my resume says physics. If it were used for training ais, because only one resume says physics physicists would be regarded as undesirable

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      Yes I Have No Bananas. [gofundme.com]
      • (Score: 2) by Alfred on Monday October 15 2018, @02:17PM

        by Alfred (4006) on Monday October 15 2018, @02:17PM (#749040) Journal
        Fair enough. But if you are using AI to hire physics grads you better feed it a lot of resumes with physics in it or else you are just doing it wrong. We keep assuming that the AI is running with something that reduces to a word frequency thing and it might be. I suspect that it is not and that it is the humans that noticed later.