Recent studies demonstrate that machine learning algorithms can discriminate based on classes like race and gender. This academic study presents an approach to evaluate bias present in automated facial analysis algorithms and datasets.
Modular contracting doesn’t just mean that you break one procurement into several pieces. This article shows you how to take a modular approach with a single contract divided up into natural break points.
The Decide Methods help you derive insights from the information gathered during the Discovery phase. You’ll validate initial assumptions, develop a deeper understanding of workflows and processes, and develop design hypotheses.
The Benefits Enrollment Field Guide looks at the landscape of America’s safety net benefits experience in 2023 and tracks the differences from our 2019 assessment based on expanded evaluation criteria. It also highlights successful paths to equitable, human-centered experiences. It examines online enrollment for Modified Adjusted Gross Income (MAGI) Medicaid, SNAP, TANF, the Child Care Assistance Program (CCAP), and WIC.
Digitizing public benefits policy will make the biggest impact for administrators and Americans, but only if it happens at the highest level of government.
This guide explains the U.S. Digital Service’s “discovery sprint,” a process by which teams can quickly build a common understanding of the status of complex organization, system, or service.
This playbook provides federal agencies with guidance on implementing AI in a way that is ethical, transparent, and aligned with public trust principles.
U.S. Department of Health and Human Services (HHS)
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 report examines how implementing Asset Verification Systems (AVS) can streamline Medicaid eligibility determinations for seniors and individuals with disabilities by automating the verification of applicants' financial assets.
