Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
How Generative AI Helps Predictive AI
 Originally published in Forbes, August 21, 2024 This is the...
4 Ways Machine Learning Can Perpetuate Injustice and What to Do About It
 Originally published in Built In, July 12, 2024 When ML...
The Great AI Myth: These 3 Misconceptions Fuel It
 Originally published in Forbes, July 29, 2024 The hottest thing...
Where FICO Gets Its Data for Screening Two-Thirds of All Card Transactions
 Originally published in The European Business Review, March 21,...
SHARE THIS:

4 years ago
Facebook Showed This Ad Almost Exclusively to Women. Is That A Problem?

 
Originally published in Vox.com, July 31, 2020.

How Facebook decides which ads to display on your News Feed.

In 2019, Facebook settled a lawsuit with civil rights organizations following the revelation that advertisers could use the targeting options on its platform to exclude many specific demographic groups from seeing its ads. It’s now more difficult for an unscrupulous advertiser to use Facebook’s platform to discriminate.

However, even when you remove human bias from the system, Facebook’s ad delivery algorithms can result in biased outcomes. According to researchers at Northeastern University, Facebook sometimes displays ads to highly skewed audiences based on the content of the ad.

By purchasing ads and inputting neutral targeting options, the researchers found that the algorithmically determined audience for job ads for cleaners, secretaries, nurses, and preschool teachers was mostly women. The job ads for fast food workers, supermarket cashiers, and taxi drivers skewed toward Black users.

As we show in the video above, this research shows that by targeting “relevant” users, these systems can reinforce existing disparities in our interests and our opportunities. Users who are comfortable with being stereotyped for their taste in shoes or music might not feel the same way about being stereotyped for job ads or political messages.

To continue reading this article, click here.

 

Leave a Reply