Inspired by online dating, AI tool for adoption matchmaking falls short for vulnerable foster kids
Former social worker Thea Ramirez has developed an artificial intelligence-powered tool that she says helps social service agencies find the best adoptive parents for some of the nation’s most vulnerable kids
Some are orphans, others seized from their parents. Many are older and have overwhelming needs or disabilities. Most bear the scars of trauma from being hauled between foster homes, torn from siblings or sexually and physically abused.
Child protective services agencies have wrestled for decades with how to find lasting homes for such vulnerable children and teens –- a challenge so enormous that social workers can never guarantee a perfect fit.
Into this morass stepped Thea Ramirez with what she touted as a technological solution – an artificial intelligence-powered tool that ultimately can predict which adoptive families will stay together. Ramirez claimed this algorithm, designed by former researchers at an online dating service, could boost successful adoptions across the U.S. and promote efficiency at cash-strapped child welfare agencies.
“We’re using science – not merely preferences – to establish a score capable of predicting long-term success,” Ramirez said in an April 2021 YouTube video about her ambitions to flip “the script on the way America matches children and families” using the Family-Match algorithm.
An Associated Press investigation, however, found that the AI tool – among the few adoption algorithms on the market – has produced limited results in the states where it has been used, according to Family-Match’s self-reported data that AP obtained through public records requests from state and local agencies.
Ramirez also has overstated the capabilities of the proprietary algorithm to government
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