CAREER: A Safety-Aware Learning Framework for Identifying and Mitigating Risks in Human-LL — NSF Award to University of California
Large language models are increasingly used in healthcare applications such as virtual assistants and decision support tools, offering new opportunities to improve access to care and patient outcomes. However, these systems can introduce new kinds of risks that arise not from the model alone, but from how people intera
| Award title | CAREER: A Safety-Aware Learning Framework for Identifying and Mitigating Risks in Human-LL |
|---|---|
| Award ID | 2541748 |
| Awardee | University of California-Santa Cruz |
| City | SANTA CRUZ |
| State | CA |
| Amount obligated | $349,875 |
| Principal investigator | Chenguang Wang |
| Program | Info Integration & Informatics |
| Start date | 10/01/2026 |
| Abstract | Large language models are increasingly used in healthcare applications such as virtual assistants and decision support tools, offering new opportunities to improve access to care and patient outcomes. However, these systems can introduce new kinds of risks that arise not from the model alone, but from how people interact with it. For example, patients may rely too heavily on automated advice, receive responses shaped by harmful preconceptions or be unintentionally influenced toward unsafe decisi |
| Source | NSF Awards |
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