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to develop methods and tools to test for and mitigate racial bias at the intersection of AI and access to housing

to expand AI-driven advertising and sponsorship models, enhancing revenue for local journalism.

to enable AI-enhanced data tools and coaching programs for sustainable local journalism.

to advance the use of AI/ML in strategic research

to create a public-facing rental pricing dataset and research the impact of algorithms on the housing market

to support NSF’s Responsible Design, Development, and Deployment of Technologies (ReDDDoT) program.

to support the Actionable Data Initiative in using ML and AI to create an efficient marketplace for global health service delivery by matching healthcare needs with available resources

to support pathways out of poverty for low-income communities by linking them to AI-driven earning, learning, and growth prospects.

Future of AI for Nonprofits Fireside Chat with Vilas Dhar and Kate Behncken

A New Code for AI: Watch Vilas Dhar's TEDxPaloAlto Talk

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