Learn how to use generative AI to quickly create unemployment insurance translations that are accurate, easy to understand, and tailored to your state.
This session from FormFest 2024 focused on how governments are scaling their SNAP benefits programs, with Maryland’s improved integrated benefits application and the Office of Evaluation Sciences’ changes to questions on the SNAP application.
The team examined how AI, specifically LLMs, could streamline the case review process for SNAP applications to alleviate the burden on case workers while potentially improving accuracy.
The team developed an application to simplify Medicaid and CHIP applications through LLM APIs while addressing limitations such as hallucinations and outdated information by implementing a selective input process for clean and current data.
The Federal Government made it easier for the public to share their knowledge, needs, and lived experiences to improve how government works for them and with them.
This article explores how AI and Rules as Code are turning law into automated systems, including how governance focused on transparency, explainability, and risk management can ensure these digital legal frameworks stay reliable and fair.
