This academic paper examines how federal privacy laws restrict data collection needed for assessing racial disparities, creating a tradeoff between protecting individual privacy and enabling algorithmic fairness in government programs.
ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT)
At Rules as Code Demo Day we heard from Song Hia of the NYC Mayor’s Office for Economic Opportunity and Ethan Lo of the NYC Office of Technology and Innovation who demoed the NYC Benefits Platform Screening API which provides machine-readable calculations and criteria for benefits screening that power the ACCESS NYC screening questionnaire. This makes it easier for NYC residents to discover multiple benefits they may be eligible for. The City is now extending the API to support the new MyCity platform, a one-stop shop for all services and benefits.
A video tour by the NYS Design System team to help you learn how to quickly build accessible, mobile-friendly, user-friendly digital services with the Design System.
An in-depth report that examines how states use automated eligibility algorithms for home and community-based services (HCBS) under Medicaid and assesses their implications for access and fairness.
This section of the Building Resilience plan outlines strategies to improve reemployment outcomes for unemployment insurance (UI) claimants by expanding access to services, updating work search requirements, and increasing use of Short-Time Compensation programs.
This internal glossary defines key terms and concepts related to automating enrollment proofs for public benefits programs to support shared understanding among product and policy teams.
An event recap from one of FormFest 2024's closing main stage session featuring speakers from the City of Portland, Oregon and New York City, New York.
