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.
During the call, we heard from two speakers: April Dunlap, Policy Administrator for Arizona’s Department of Economic Security and Professor Michele Gilman, Venable Professor of Law and Associate Dean for Faculty Research and Development at the University of Baltimore School of Law.
A catalogue to help teams design trustworthy services that work for people. Categories including informing decisions, signing into services, giving and removing consent, and doing security checks.
This article describes the General Services Administration’s efforts to get a limited number of state and local governments to try login.gov with their federally funded programs.
Created for use in the Digital Doorways research project, this design stimuli shows the steps of submitting an application, sharing personal information, and verifying identity for Arizona's online application for Unemployment Insurance.
Created for use in the Digital Doorways research project, this design stimuli shows the steps of submitting an application, sharing personal information, and verifying identity for Massachusetts' online application for Unemployment Insurance.
In December 2024, the Digital Benefits Network released an updated open dataset on authentication and identity proofing requirements across various public benefits applications to highlight best practices and areas for improvement in identity management.
In this panel conversation from Better Identity Coalition’s 2022 policy forum “Identity, Authentication, and the Road Ahead” presenters from the General Services Administration, the Transportation Security Administration, the Consumer First Coalition, and the congressional branch, discuss government’s role in digital identity.
