CAREER: Foundations of Trustworthy Sequential Decision-Making: Privacy, Robustness, and Fa — NSF Award to Wayne State University (
This project aims to address the critical need for trustworthy artificial intelligence and machine learning (AI/ML) in applications that directly impact individuals and society. As AI/ML systems, particularly those powered by Reinforcement Learning (RL), are increasingly used in personalized healthcare, education, comm
| Award title | CAREER: Foundations of Trustworthy Sequential Decision-Making: Privacy, Robustness, and Fa |
|---|---|
| Award ID | 2441519 |
| Awardee | Wayne State University |
| City | DETROIT |
| State | MI |
| Amount obligated | $500,000 |
| Principal investigator | Xingyu Zhou |
| Program | CCSS-Comms Circuits & Sens Sys |
| Start date | 10/01/2025 |
| Abstract | This project aims to address the critical need for trustworthy artificial intelligence and machine learning (AI/ML) in applications that directly impact individuals and society. As AI/ML systems, particularly those powered by Reinforcement Learning (RL), are increasingly used in personalized healthcare, education, commerce, and large language models, it is imperative to ensure these systems are reliable and ethical. This project aims to advance trustworthy RL by addressing the significant challe |
| Source | NSF Awards |
$799/mo
Try NSFGrants →