This case study highlights a collaborative effort to enhance Nevada’s unemployment insurance (UI) program by simplifying claimant-facing communications and improving user experiences through behavioral science and human-centered design.
National Association of State Workforce Agencies (NASWA)
This executive order establishes a statewide effort to enhance accessibility by requiring all state agencies to use clear, concise, and easily understandable language in written communications.
An introduction to digital accessibility, emphasizing the importance of designing digital content to be usable by individuals with various disabilities, and guidelines and assistive technologies that support inclusive digital interactions.
This report examines Pennsylvania’s recent success in responding to concerns from citizens that it took too long for a business, nonprofit or individual to receive a permit, license or certificate they had applied for.
An event recap from one of FormFest 2024's breakout sessions featuring speakers from Digital Service Teams across the United States and the Department of Veteran Affairs.
This Guide to Artificial Intelligence provides a strategic framework for the ethical and responsible implementation of GenA technologies in state operations.
Colorado Governor's Office of Information Technology (OIT)
This impact report showcases the office's initiatives and achievements in enhancing state government services through innovative, user-centered approaches.
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 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.
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)
