This Project Grant, awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084), supports a 3-year, $826,361 collaborative research effort led by Georgetown University to develop novel approaches that can assist public interest technology (PIT) organizations in deploying data safeguards to build artificial intelligence (AI) systems. The project combines ethnographic and computational research to identify socio-technical decision points and challenges faced by PIT organizations, create participatory engagement methods for stakeholders, and build software and communication tools to improve transparency around the use of differential privacy techniques in AI training data. The goal is to enable PIT organizations to safely leverage personal data for beneficial AI development while safeguarding privacy. No sub-awards are planned under this funding.
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