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Meta agrees to stop algorithmic discrimination in housing ads

Meta has agreed to settle a lawsuit with the US government that accused the social network of engaging in discriminatory advertising for housing on its platform.

Sentinel Digital Desk

San Francisco: Meta (formerly Facebook) has agreed to settle a lawsuit with the US government that accused the social network of engaging in discriminatory advertising for housing on its platform.

The housing discrimination lawsuit, filed by the government in 2019, accused that Meta enabled and encouraged advertisers to target their housing ads by relying on race, colour, religion, sex, disability, familial status, and national origin to decide which Facebook users will be eligible, and ineligible, to receive housing ads.

Under the settlement, Meta will stop using an advertising tool for housing ads which relies on a discriminatory algorithm to find users who "look like" other users based on Fair Housing Act (FHA)-protected characteristics. Meta also will develop a new system over the next six months to address racial and other disparities caused by its use of personalisation algorithms in its ad delivery system for housing ads, the US Department of Justice said in a statement late on Tuesday. If the US concludes that the new system adequately addresses the discriminatory delivery of housing ads, then Meta will implement the system, which will be subject to Department of Justice approval and court oversight.

However, if the government finds that the new system is insufficient to address algorithmic discrimination in the delivery of housing ads, then the settlement agreement will be terminated.

"Because of this ground-breaking lawsuit, Meta will — for the first time — change its ad delivery system to address algorithmic discrimination," said US Attorney Damian Williams.

"But if Meta fails to demonstrate that it has sufficiently changed its delivery system to guard against algorithmic bias, this office will proceed with the litigation," Williams added. Meta's ad delivery system used machine-learning algorithms that rely in part on FHA-protected characteristics — such as race, national origin, and sex — to help determine which subset of an advertiser's targeted audience will actually receive a housing ad.

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