Facebook And Gender Bias_clean

According to a new study, Facebook users may not be learning about jobs for which they are qualified because the company’s tools can disproportionately direct ads to a particular gender. The report states, in one of three examples that generated similar results, Facebook targeted an Instacart delivery job ad to a female-heavy audience and a Domino’s Pizza delivery job ad to a male-heavy viewership. Instacart has mostly female drivers, and Domino’s mostly men. In contrast, LinkedIn showed the ads for delivery jobs at Domino’s to about the same proportion of women as it did the Instacart ad. The study said Facebook’s ad delivery can result in skewing a delivery job ad by gender beyond qualifications. The finding strengthens the argument Facebook’s algorithms may be in violation of U.S. anti-discrimination laws. Facebook has tightened controls to prevent clients from excluding some groups from seeing job, housing and other ads. But researchers remain concerned about bias in artificial intelligence software choosing which ads users see.
According to a new study, Facebook users may not be learning about jobs for which they are qualified because the company’s tools can disproportionately direct ads to a particular gender. The report states, in one of three examples that generated similar results, Facebook targeted an Instacart delivery job ad to a female-heavy audience and a Domino’s Pizza delivery job ad to a male-heavy viewership. Instacart has mostly female drivers, and Domino’s mostly men. In contrast, LinkedIn showed the ads for delivery jobs at Domino’s to about the same proportion of women as it did the Instacart ad. The study said Facebook’s ad delivery can result in skewing a delivery job ad by gender beyond qualifications. The finding strengthens the argument Facebook’s algorithms may be in violation of U.S. anti-discrimination laws. Facebook has tightened controls to prevent clients from excluding some groups from seeing job, housing and other ads. But researchers remain concerned about bias in artificial intelligence software choosing which ads users see.
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Editorial #:
1318617372
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Stringr
Date created:
14 April, 2021
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00:01:11:05
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Stringr
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37c1cf07-bb36-4b08-8e60-e80d613e400d-1080