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.
Hear perspectives on topics including centering beneficiaries and workers in new ways, digital service delivery, digital identity, and automation.This video was recorded at the Digital Benefits Conference (BenCon) on June 14, 2023.
The Enterprise Single Sign-On (SSO) Playbook is a practical guide to help federal agencies implement or modernize an SSO service for federal employee access to government applications.
This research brief summarizes the ideas and recommendations from sessions with dozens of cross-sector stakeholders within the technology ecosystem to identify conditions for better, healthier, more secure digital ecosystems that could help guide the next generation of open protocols and platforms.
These guidelines from the National Institutes of Standard and Technology provide technical requirements for federal agencies implementing digital identity services.
National Institute of Standards and Technology (NIST)
This policy brief offers recommendations to policymakers relating to the computational and human sides of facial recognition technologies based on a May 2020 workshop with leading computer scientists, legal scholars, and representatives from industry, government, and civil society
These guidelines provide technical requirements for federal agencies implementing digital identity services and are not intended to constrain the development or use of standards outside of this purpose. These guidelines focus on the authentication of subjects interacting with government systems over open networks, establishing that a given claimant is a subscriber who has been previously authenticated.
National Institute of Standards and Technology (NIST)
