Article announcing five new projects by the Office of Management and Budget that will improve experiences the public has with the government during significant movements in their lives. These “life experience” projects are at the center of a new model for how the Federal Government should better design and deliver benefits, services, and programs to the American people during the moments in their lives that matter most.
This interim final rule requires SNAP State agencies to provide information to the NAC regarding individuals receiving SNAP benefits in their states in order to ensure they are not already receiving benefits in another state.
The U.S. Digital Response collaborated with a state workforce agency to develop a multilingual, user-friendly system for retroactive Pandemic Unemployment Assistance (PUA) applications, enhancing claimant comprehension and reducing administrative strain.
Data provided by the NYC Mayor’s Office for Economic Opportunity regarding benefit, program, and resource information for over 80 health and human services available to NYC residents in all eleven local law languages.
Drawing on interviews and convenings with experts and practitioners from the field of public interest technology, this report contains recommendations across five core priority action areas for cross-sector innovation and collaboration to improve state benefits systems through procurement practices.
The Electronic Privacy Information Center (EPIC) emphasizes the necessity of adopting broad regulatory definitions for automated decision-making systems (ADS) to ensure comprehensive oversight and protection against potential harms.
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.
A Baltimore City press release announcing American Rescue Plan Act (ARPA) investments in digital services and data infrastructure to modernize city operations and improve resident access to government services.
This report investigates how D.C. government agencies use automated decision-making (ADM) systems and highlights their risks to privacy, fairness, and accountability in public services.
