This handbook provides local governments with practical guidelines, best practices, and ethical considerations for adopting and using AI tools, emphasizing transparency, human oversight, and risk management.
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 is the summary version of a report that 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.
An event recap from one of FormFest 2024's breakout sessions featuring speakers from South Bend Indiana and others working on creating accessible legal forms.
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.
This study uses machine learning models on Medicaid data to estimate that the take-up rate for children's Supplemental Security Income (SSI) is approximately 70%, identifying potentially eligible children who often have higher health care utilization than current SSI recipients.
This article examines how the City of Long Beach, California, collaborated with TOPC to develop a digital tool aimed at enhancing community engagement and expanding urban tree canopy coverage.
This article details the collaboration between Miami-Dade County, community partners, and technologists to enhance climate resilience by allowing residents to report and access information on extreme heat conditions affecting their commutes.
