This report contributes to the quantitative measurement of psychological burdens by examining a case study of a single social program: the Supplemental Nutrition Assistance Program, by considering new quantitative measures of the psychological burdens faced by SNAP applicants.
This research brief summarizes the ideas and recommendations from sessions with dozens of cross-sector stakeholders within the technology ecosystem to identify conditions for better, healthier, more secure digital ecosystems that could help guide the next generation of open protocols and platforms.
In this video, Policy Engine CEO Max Ghenis provides a demonstration of their product and API and discusses use cases in Rules as Code. The Cross-Sector Rules as Code Roundtable on February 22, 2024 was hosted by Rules as Code Community of Practice at the Digital Benefits Network.
In this video, Digital Benefits Network Senior Director Ariel Kennan presents highlights from the Cross-Sector Insights From the Rules as Code Community of Practice report released in February 2024. The Cross-Sector Rules as Code Roundtable on February 22, 2024 was hosted by Rules as Code Community of Practice at the Digital Benefits Network.
In this video, Benefits Data Trust Senior Product Manager Daniel Singer and Software Engineering Manager Preston Cabe present their eligibility screening platform including their rules engine, API, and DMN rules notation. The Cross-Sector Rules as Code Roundtable on February 22, 2024 was hosted by Rules as Code Community of Practice at the Digital Benefits Network.
This guide is intended to provide everything else, with a focus on the basics of UI technology projects, guidance on standards for equitable uses of technology, and strategies for how to have a positive impact on these projects.
This plan promotes responsible AI use in public benefits administration by state, local, tribal, and territorial governments, aiming to enhance program effectiveness and efficiency while meeting recipient needs.
U.S. Department of Health and Human Services (HHS)
This framework outlines USDA’s principles and approach to support States, localities, Tribes, and territories in responsibly using AI in the implementation and administration of USDA’s nutrition benefits and services. This framework is in response to Section 7.2(b)(ii) of Executive Order 14110 on Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence.
