This framework provides voluntary guidance to help employers use AI hiring technology in ways that are inclusive of people with disabilities, while aligning with federal risk management standards.
This action plan outlines Oregon’s strategic approach to adopting AI in state government, emphasizing ethical use, privacy, transparency, and workforce readiness.
This report analyzes how proposed state cost-sharing requirements for SNAP would impact benefit access and poverty during a recession, projecting significant risks to low-income households if states are unable to maintain SNAP funding.
This toolkit outlines actionable changes for government practitioners looking to improve the accuracy and accessibility of the questions on their forms that collect information about a user’s gender.
The AI RMF Playbook offers organizations detailed, voluntary guidance for implementing the NIST AI Risk Management Framework to map, measure, manage, and govern AI risks effectively.
National Institute of Standards and Technology (NIST)
This resource page provides comprehensive information on the state's initiatives, policies, training, and governance related to the adoption and implementation of generative AI technologies in government operations.
This publication from the Digital Service Network (DSN) explores how state and local leaders are tackling the challenge of finding, keeping, and growing digital service talent in government. Through real-world stories and actionable strategies, it highlights how teams are making the case for digital roles, improving hiring practices, and upskilling staff to build a strong, sustainable digital workforce.
The Digital Service Network (DSN) spoke with three staff members from the New York State Executive Chamber—Gabe Paley, Tonya Webster, and, Luke Charde to learn more about the state's efforts to improve residents’ experiences accessing government programs.
This assessment aims to help states gain a comprehensive understanding of their successes and shortcomings in their data strategies and enhance their strategic and tactical plans.
Sharing lessons learned via the Medicaid Churn Learning Collaborative, which is working to reduce Medicaid churn, improve renewal processes for administrators, and protect health insurance coverage for children and families.
AI resources for public professionals on responsible AI use, including a course showcasing real-world applications of generative AI in public sector organizations.
