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.

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    “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.

    Virginia and Georgia dropped the algorithm after trial runs, noting its inability to produce adoptions, though both states have resumed business with Ramirez’s nonprofit called Adoption-Share, according to AP’s review of hundreds of pages of documents.

    Those experiences, the AP found, provide lessons for social service agencies seeking to deploy predictive analytics without a full grasp of the technologies’ limitations, especially when trying to address such enduring human challenges as finding homes for children described by judges as the “least adoptable.”

    Her work and her religious convictions drew support primarily from conservatives, including first lady Melania Trump, who spotlighted Ramirez’s efforts at a foster care event in the White House Situation Room.

    Virginia’s then-governor Terry McAuliffe, a Democrat, ordered a pilot at the urging of a campaign donor he appointed as the state’s “adoption champion.” In Florida, which has a privatized child welfare system, regional care organizations soon signed up for the algorithm for free – thanks to a grant from a foundation founded by the then-CEO of the company that makes Patrón tequila and his wife.

    Ramirez met with the governor’s office and also lobbied a statehouse committee for a direct appropriation, saying the tool was “an incredible feat.” By July, the Georgia Department of Human Services signed a new agreement with Adoption-Share to use Family-Match again – this time for free, said Kylie Winton, an agency spokesperson.


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