This panel discussion from the Academy's 2025 Policy Summit explores the intersection of artificial intelligence (AI) and public benefits, examining how technological advancements are influencing policy decisions and the delivery of social services.
This brief outlines research recommendations to strengthen child welfare services for LGBT youth and adults, focusing on experiences of maltreatment, foster care, and adoption.
U.S. Department of Health and Human Services (HHS)
This guide introduces privacy-enhancing technologies (PETs) and provides practical guidance for government agencies on selecting and implementing them to securely use, share, and protect sensitive data.
This FormFest profile highlights Riverside County’s pilot of AI-powered interviews that streamline benefit applications, reducing bureaucratic burden on families in crisis while freeing caseworkers to focus on human connection.
A curated toolkit of plain-language writing resources, training, and guidance aimed at helping government and public-service staff create accessible, easily understood communications.
About one in five U.S. households lack home Internet access because many say they don’t need or want it and others—especially lower-income families—can’t afford service or the devices and skills to use it, highlighting persistent digital divide barriers.
National Telecommunications and Information Administration
In this updated primer, the DBN describes how identity proofing and authentication show up in public benefits applications and outlines equity and security concerns raised by common identity proofing and authentication methods.
This workshop guide offers teams an opportunity to jointly work toward understanding core problems impacting digital delivery in their organization. The guide is structured in two parts: (1) a Miro template and (2) a Facilitation Guide.
Government leaders discuss how to ensure seamless access to public benefits through breaking down silos, user-friendly digital identities, and privacy-focused security measures.
This study describes the potential of human-centered design principles to identify burdens, reducing the effects of what we label as administrative checkpoints.
