This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award for $174,999 supports research on trustworthy diffusion models, a type of large generative artificial intelligence (AI) model. The key objectives are to improve the privacy, fairness, and explainability of these AI models, which are critical for their safe and ethical deployment in areas like healthcare, media, law, and education. The project involves implementing differential private diffusion models to defend against privacy leaks, introducing fair training to avoid biases, and exploring faithful explanations using attention mechanisms. The research results aim to provide decision-makers and practitioners with AI models that can assist content creation and daily productivity while addressing key trustworthiness concerns. The grant was awarded to the University of North Carolina at Charlotte, a leading research university that conducts a variety of federally funded projects across domains like engineering, computer science, and healthcare.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $175.0k | 6/4/24 |