This article advises government agencies to prioritize cybersecurity methods over AI-driven approaches when combating identity fraud in benefits programs, highlighting potential risks that automated systems pose to legitimate applicants.
The Digital Benefits Network's second Digital Identity Community of Practice quarterly call centered exploring client support models in digital identity and an update on the Balance ID project.
This is a modular, dynamic roadmap guides the U.S. HHS's ongoing implementation of open data policies while inviting public collaboration and feedback.
U.S. Department of Health and Human Services (HHS)
Guidance outlining how Australian government agencies can train staff on artificial intelligence, covering key concepts, responsible use, and alignment with national AI ethics and policy frameworks.
This page reports on key metrics assessing how well federal websites are performing against standards for accessibility, mobile usability, search, feedback, design consistency, analytics, and security.
This toolkit provides guidance to protect participant confidentiality in human services research and evaluation, including legal frameworks, risk assessment strategies, and best practices.
U.S. Department of Health and Human Services (HHS)
This is a government catalog of reusable digital service components, templates, and patterns designed to help public sector teams build services more efficiently and consistently.
Errors in administrative processes are costly and burdensome for clients but are understudied. Using U.S. Unemployment Insurance data, this study finds that while automation improves accuracy in simpler programs, it can increase errors in more complex ones.
This section of the Building Resilience plan outlines strategies to improve reemployment outcomes for unemployment insurance (UI) claimants by expanding access to services, updating work search requirements, and increasing use of Short-Time Compensation programs.
This article examines how Chile’s SUSESO is balancing cost-focused procurement criteria with ethical AI concerns in its medical claims automation process.
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.
