• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar

information for practice

news, new scholarship & more from around the world


advanced search
  • gary.holden@nyu.edu
  • @ Info4Practice
  • Archive
  • About
  • Help
  • Browse Key Journals
  • RSS Feeds

HHS wants states to use more predictive analytics in child welfare

NEXTGOV/FCW | JTKPhotoz/Getty
NEXTGOV/FCW | JTKPhotoz/Getty

The Department of Health and Human Services is offering state child welfare agencies $6 million to pilot predictive analytics to assess children’s risk of abuse and neglect in the child welfare system, the Administration for Children and Families announced last week. The artificial intelligence push is part of the administration’s agenda to modernize the child welfare system and address the shortage of foster homes across the U.S. Although the hope is that the tools improve decisionmaking in the system, they’ve also been the subject of critiques about surveillance and bias.

Posted in: News on 06/05/2026 | Link to this post on IFP |
Share

Primary Sidebar

Categories

Category RSS Feeds

  • Calls & Consultations
  • Clinical Trials
  • Funding
  • Grey Literature
  • Guidelines Plus
  • History
  • Infographics
  • Journal Article Abstracts
  • Meta-analyses - Systematic Reviews
  • Monographs & Edited Collections
  • News
  • Open Access Journal Articles
  • Podcasts
  • Video

© 1993-2026 Dr. Gary Holden. All rights reserved.

gary.holden@nyu.edu
@Info4Practice