Remote identify proofing is the process federal agencies and other entities use to verify that the individuals who apply online for benefits and services are who they claim to be. If the applicant responds correctly to personal questions, their identity is considered to be verified. However, data stolen in recent breaches could be used fraudulently to respond to knowledge-based verification questions. Alternative methods are available that provide stronger security, but these methods may have limitations in cost, convenience, technological maturity, and they may not be viable for all segments of the public.
The IRS is arguably the single most critical benefits administrator in the country, given its responsibility for tax credit-based relief programs, and COVID-19 relief payments. Despite these programs’ incredible progress in reducing poverty, and despite great strides by the IRS to implement them successfully, accessing IRS benefits remains too difficult for many low-income families. This report presents a comprehensive agenda to increase benefit coverage rates, simplify Americans’ interactions with the IRS, and decrease the portion of IRS benefits diverted to third parties.
The Urban Institute's report outlines actionable approaches for state governments and organizations to enhance the accessibility and retention of public benefit programs, focusing on service delivery, policy reforms, and technological advancements.
This report presents evidence on the use of algorithmic accountability policies in different contexts from the perspective of those implementing these tools, and explores the limits of legal and policy mechanisms in ensuring safe and accountable algorithmic systems.
This report shares the results of our comprehensive content audit and heuristic evaluation of eligibility pre-screeners, including ratings on security, mobile-friendly design, accessibility, and more.
The COVID Response Project was funded by the W.K. Kellogg Foundation to document the real-time impacts of the COVID-19 pandemic on state human services agencies and capture state perspectives on lessons learned to guide future federal policymaking and state implementation. The project was completed by the American Public Human Services Association (APHSA) in partnership with the U.S. Department of Health and Human Services, Administration for Children and Families (ACF), Office of Regional Operations. Insights from the report reflect information obtained through APHSA’s on-going support of state human services agencies’ COVID-19 response efforts as well as a series of in-depth interviews with executive leadership of the 14 state health and human services agencies in ACF’s Region 1 (New England) and Region 4 (Southeast) areas.
American Public Human Services Association (APHSA)
This study evaluates the use of RPA technology by three states to automate SNAP administration, focusing on repetitive tasks previously performed manually.
This report describes C-Stat 2.0, an updated version of the the Colorado Department of Human Services’ performance-based analysis strategy that allows them to better focus on and improve performance outcomes that enhance people’s lives.
The Sprint 2 Report: Michigan UI Claimant Experience by Civilla and New America examines challenges in Michigan’s unemployment insurance (UI) system and provides human-centered design recommendations to improve accessibility, clarity, and user experience.
To help policy makers, regulators, legislators and others characterize AI systems deployed in specific contexts, the OECD has developed a user-friendly tool to evaluate AI systems from a policy perspective.
Organisation for Economic Co-operation and Development (OECD)
This report provides specific actions the federal government could take to reduce identity fraud and establish a whole-of-government victim redress approach.
