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

Response Letter to OMB’s ‘Advancing Governance, Innovation, and Risk Management for Agency Use of Artificial Intelligence’ Draft Memorandum

Response Letter to OMB’s ‘Advancing Governance, Innovation, and Risk Management for Agency Use of Artificial Intelligence’ Draft Memorandum

To improve the Office of Management and Budget's (OMB) guidance for federal agencies’ governance of AI with a focus on improving the digital delivery of government programs, the Beeck Center compiled 10 recommendations for OMB's consideration.

Dec. 6, 2023