Originally created for use by federal staff at the U.S. Department of Health and Human Services, this tool describes the six steps for conducting equity assessments and provides tips for completing each step. This resource may be relevant 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)
This guide explores intersectionality and why it is essential for advancing equity. It explores strategies for planning and conducting research with an intersectional lens, describes quantitative measures and methods to examine differences across groups of people with intersecting identities, and provides key considerations for using qualitative data to better understand intersectionality.
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). The guide also discusses specific quantitative methods and tools to help quantitative analyses address equity.
Office of the Assistant Secretary for Planning and Evaluation (ASPE)
Mobile usability refers to the ease with which people can accomplish tasks on smartphones or tablets. A good mobile experience enables people to do the same things they do on a desktop computer while considering mobile devices’ constraints.
Research from the Department of Labor shows that document management systems reduce barriers for claimants and help states be more efficient. With additional improvements and investment, these systems can be even more effective in serving the public and reducing backlogs in times of crisis.
This post introduces EPIC's exploration of actionable recommendations and points of agreement from leading A.I. frameworks, beginning with the National Institute of Standards and Technology's AI Risk Management Framework.
The White House Office of Science and Technology Policy has identified five principles that should guide the design, use, and deployment of automated systems to protect the American public in the age of artificial intelligence. These principles help provide guidance whenever automated systems can meaningfully impact the public’s rights, opportunities, or access to critical needs.
In accordance with Executive Order 13960, Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government, Federal agencies began publishing their first annual inventories of artificial intelligence (AI) use cases in June 2022 and the following months. On this page, users can access inventories published to date.
For the past year, modernization teams at the Department of Labor (DOL) have been helping states identify opportunities to automate rote, non-discretionary, manual tasks, with the goal of helping them speed up the time that it takes to process claims. This post provides more context on Robotic Process Automation (RPA) and potential use cases in unemployment insurance.
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.
Ruling from the FCC granting the U.S. Department of Health and Human Services (HHS) to confirm that federal and state governmental agencies working in conjunction with local governments, governmental contractors, and managed care entities acting under contract with state governments may, under certain circumstances, make autodialed and prerecorded or artificial voice calls or send autodialed text messages to raise awareness of the eligibility and enrollment requirements for these governmental health care programs without violating the Telephone Consumer Protection Act (TCPA).
