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.
The playbook is a comprehensive guide developed by the Maryland Department of Information Technology to assist state agencies in creating consistent, user-centered, and accessible digital services.
This roadmap outlines NYC’s strategy to achieve digital equity by expanding broadband access, improving digital literacy, and fostering cross-agency coordination.
This one-pager introduces Iowa Child Care Connect (C3), a centralized data system that integrates near-real-time child care data to support families, providers, policymakers, and economic development efforts across the state.
This report offers a detailed assessment of how AI and emerging technologies could impact the Social Security Administration’s disability benefits determinations, recommending guardrails and principles to protect applicant rights, mitigate bias, and promote fairness.
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 executive order establishes governance, values, and oversight structures for the ethical and responsible use of generative AI technologies within the Commonwealth of Pennsylvania.
This report presents findings and recommendations from a user experience study based on interviews with 156 participants enrolled in Medicaid and SNAP.
This article shares insights from Minnesota-based focus groups, revealing that low-income women navigating unemployment insurance often face confusion and uncertainty around eligibility, complex administrative processes, and additional challenges related to childcare, housing stability, and mistrust of benefit systems.
