Responsible Data Sharing

Society uses data for just about everything. Every day we hear about different ways organizations collect data about us for marketing purposes, insurance decisions, and improved delivery of social services including housing, education, and mental health. We also hear about data being used to deny home loans, set outsized bail, and often exacerbate existing biases within our social systems. There is no question that, good or bad, data drives the decisions of large organizations, small nonprofits, government officials, and everyone in-between.

The Responsible Data Sharing project aims to help develop sustainable, forward-thinking practices for responsible data sharing that balances the need to protect people’s data with the need to uncover opportunities to better serve communities.

Project Reports & Resources

AI-Powered Rules as Code: Experiments with Public Benefits Policy

AI-Powered Rules as Code: Experiments with Public Benefits Policy

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.

Mar. 27, 2025