This resource helps individuals with aligning their work with the needs of the communities they wish to serve, while reducing the likelihood of harms and risks those communities may face due to the development and deployment of AI technologies.
Research from the Department of Labor shows that document management systems reduce barriers for claimants and help states be more efficient. With additional improvements and investment, these systems can be even more effective in serving the public and reducing backlogs in times of crisis.
CMS has identified a number of immediate and longer-term strategies that states can implement to improve application processing timeframes and address application backlogs.
This assessment aims to help states gain a comprehensive understanding of their successes and shortcomings in their data strategies and enhance their strategic and tactical plans.
A guide from the General Service Administration to help government decision makers clearly see what AI means for their agencies and how to invest and build AI capabilities.
This Issue Spotlight explores the challenges that recipients of public benefits programs offering cash assistance encounter in accessing funds through financial products or services, with a specific focus on assistance provided on prepaid cards.
This policy memorandum from the Food and Nutrition Service (FNS) provides guidance on data sharing activities that support targeted outreach and streamlined certification processes aimed at increasing the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) participation and retention.
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.
The GAO placed the UI system on its High Risk List in June 2022, leading the DOL to develop a transformation plan detailing activities and strategies for building a resilient UI system capable of responding effectively to future economic challenges.
