This framework outlines USDA’s principles and approach to support States, localities, Tribes, and territories in responsibly using AI in the implementation and administration of USDA’s nutrition benefits and services. This framework is in response to Section 7.2(b)(ii) of Executive Order 14110 on Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence.
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)
This U.S. Department of Labor (DOL) strategy outlines a roadmap for modernizing the Unemployment Insurance (UI) system to enhance efficiency, equity, and access for workers.
NIST has created a voluntary AI risk management framework, in partnership with public and private sectors, to promote trustworthy AI development and usage.
National Institute of Standards and Technology (NIST)
Better Rules utilizes multidisciplinary teams that include people skilled in policy, legal, business rules, programming, and service design working together in an iterative fashion to develop rules. Several outputs are produced using this approach, each offering an opportunity that can be fed back into that iterative process and re-used to solve other issues.
USDS partnered with CMCS and state Medicaid agencies to improve eligibility and enrollment systems after the COVID-19 Public Health Emergency ended, focusing on health coverage renewals.
The Guide to Robotic Process Automation, including the RPA Playbook provides detailed guidance for federal agencies starting a new RPA program or evolving an existing one.
This toolkit provides resources for training and technical assistance (T/TA) providers in the Child Care Technical Assistance Network (CCTAN) to help State, Territory, and Tribal CCDF Lead Agencies be prepared to conduct equity assessments.
