A guide from the General Service Administration to help government decision makers clearly see what AI means for their agencies and how to invest and build AI capabilities.
Initially created to inform federal staff at the U.S. Department of Health and Human Services, this tool describes how to conduct intensive equity assessments of existing programs, policies, and processes. It may be useful for state and local governments, tribal governments, and other private or non-profit organizations focused on programs and policies relating to health and human services.
Office of the Assistant Secretary for Planning and Evaluation (ASPE)
Initially created to inform federal staff at the U.S. Department of Health and Human Services, this guide explores opportunities to advance equity in quantitative analysis, including by recognizing common biases (e.g., research and measurement bias).
Office of the Assistant Secretary for Planning and Evaluation (ASPE)
There is a key disconnect between policymakers’ intent and implementation of policies. A user-centric, iterative, and data-driven approach can result result in digital technology that provides much needed data and insights at a substantially lower cost.
This resource helps individuals with aligning their work with the needs of the communities they wish to serve, while reducing the likelihood of harms and risks those communities may face due to the development and deployment of AI technologies.
This guide introduces privacy-enhancing technologies (PETs) and provides practical guidance for government agencies on selecting and implementing them to securely use, share, and protect sensitive data.
These principles and best practices for AI developers and employers to center the well-being of workers in the development and deployment of AI in the workplace and to value workers as the essential resources they are.
This resource provides updated draft digital identity guidelines for identity proofing, authentication, and federation, aiming to improve security, privacy, usability, and equity in digital identity systems.
