The UI Technology Coordinating Coalition hosted a virtual conversation on April 13, 2023 focused on recent developments in unemployment insurance (UI) modernization efforts with guests from the U.S. Department of Labor's Office of UI Modernization and the Illinois Department of Employment Security.
This report summarizes 19 SNAP policy options (in effect as of Oct. 1, 2023) and waivers (implemented as of July 1, 2023) chosen by SNAP state agencies (50 states, the District of Columbia, Guam, and Virgin Islands) in federal fiscal year (FY) 2023.
This U.S. Department of Labor (DOL) strategy outlines a roadmap for modernizing the Unemployment Insurance (UI) system to enhance efficiency, equity, and access for workers.
The guidelines for bias-free language contain both general guidelines for writing about people without bias across a range of topics and specific guidelines that address the individual characteristics of age, disability, gender, participation in research, racial and ethnic identity, sexual orientation, socioeconomic status, and intersectionality.
This analysis explores the potential reduction in poverty rates across all U.S. states if every eligible individual received full benefits from seven key safety net programs, highlighting significant decreases in overall and child poverty.
NIST has created a voluntary AI risk management framework, in partnership with public and private sectors, to promote trustworthy AI development and usage.
National Institute of Standards and Technology (NIST)
This report summarizes progress made with agencies and members of the public to identify and reduce burdens that individuals, families, and small businesses face every day when interacting with government programs.
Benefits Data Trust (BDT), in collaboration with the Center for Health Care Strategies (CHCS), conducted a nationwide analysis of how states coordinate across Medicaid and SNAP programs to streamline access to benefits.
In this piece, the Digital Benefits Network shares several sources—from journalistic pieces, to reports and academic articles—we’ve found useful and interesting in our reading on automation and artificial intelligence.
This policy brief explores how federal privacy laws like the Privacy Act of 1974 limit demographic data collection, undermining government efforts to conduct equity assessments and address algorithmic bias.
