The article explores the importance of participatory planning in policymaking, emphasizing how engaging impacted communities improves program design, equity, and trust in government, with a focus on early childhood education initiatives.
This report documents four experiments exploring if AI can be used to expedite the translation of SNAP and Medicaid policies into software code for implementation in public benefits eligibility and enrollment systems under a Rules as Code approach.
This impact report showcases how the city used technology to expand digital equity, modernize services, and responsibly deploy emerging tech to better serve New Yorkers.
New York City Office of Office of Technology and Innovation (OTI)
AI resources for public professionals on responsible AI use, including a course showcasing real-world applications of generative AI in public sector organizations.
This report examines how the U.S. federal government can enhance the efficiency and equity of benefit delivery by simplifying eligibility rules and using a Rules as Code approach for digital systems.
