Here is what the page “Social Service Agencies Urged to Build AI Safeguards Against Bias in Child Abuse, Domestic” contains. Artificial intelligence is increasingly used by social service agencies to assess cases of child abuse, intimate partner violence, and elder abuse. A University of Iowa researcher and former social worker warns that without proper safeguards, AI could introduce or amplify bias against vulnerable and disadvantaged populations. The researcher emphasizes that agencies must establish clear guidelines and oversight to ensure AI tools do not unfairly target or penalize marginalized groups.
This call to action comes as more agencies adopt predictive analytics and decision-support systems to manage high-stakes cases. The concern is that algorithms trained on historical data may reflect existing societal biases, potentially leading to wrongful interventions or missed protections. The researcher argues that human oversight, transparency, and continuous evaluation are essential to prevent harm. For the complete material, the listing points back to the source inside the network.