This guidebook offers an introduction to the risks of discrimination when using automated decision-making systems. This report also includes helpful definitions related to automation.
This report explores how AI is currently used, and how it might be used in the future, to support administrative actions that agency staff complete when processing customers’ SNAP cases. In addition to desk and primary research, this brief was informed by input from APHSA’s wide network of state, county, and city members and national partners in the human services and related sectors.
American Public Human Services Association (APHSA)
The guidelines for bias-free language contain both general guidelines for writing about people without bias across a range of topics and specific guidelines that address the individual characteristics of age, disability, gender, participation in research, racial and ethnic identity, sexual orientation, socioeconomic status, and intersectionality.
This article discusses how Code for America enhanced the CalFresh application process to better assist self-employed individuals in accessing their full benefits by clarifying self-employment definitions and simplifying income verification.
Benefits Data Trust (BDT), in collaboration with the Center for Health Care Strategies (CHCS), conducted a nationwide analysis of how states coordinate across Medicaid and SNAP programs to streamline access to benefits.
This Urban Institute article argues that poverty is driven by structural barriers rather than individual choices and advocates for safety net programs that address systemic inequities.
WIC enrollment has declined over the last decade, preventing millions of eligible low-income individuals from accessing its benefits. This report examines state WIC outreach pilots and discusses the effectiveness of text message outreach and key considerations when developing and launching targeted text outreach campaigns.
This data playbook created by the California Health and Human services agencies discusses five plays designed to help Departments utilize data to inform program and policy development.
California Health and Human Services Agency (Cal HHS)
This report offers a critical framework for designing algorithmic impact assessments (AIAs) by drawing lessons from existing impact assessments in areas like environment, privacy, and human rights to ensure accountability and reduce algorithmic harms.
