NSF award 2541748 · University of California-Santa Cruz

CAREER: A Safety-Aware Learning Framework for Identifying and Mitigating Risks in Human-LLM Interactions in Healthcare

Final report due

28 January 2032

in 1,928 days · The award ends on 30 September 2031.

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Dates this award owes

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Decide about an extension2 Jun 2031in 1688 days
award ending 2031-09-30 · Research.gov
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Extension request16 Aug 2031in 1763 days
award ending 2031-09-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Sep 2031in 1798 days
award ending 2031-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2032in 1928 days
award ending 2031-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2032in 1928 days
award ending 2031-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2032in 1928 days
award ending 2031-09-30 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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How we got this date

NSF lists this award's end date as 30 September 2031.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 January 2032.

Read the rule on Research.gov

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Award card

Award number: 2541748
Period of support: 1 Oct 2026 – 30 Sep 2031
Amount: $499,821
Awardee: University of California-Santa Cruz, Santa Cruz, CA
Program: Info Integration & Informatics
Directorate: CSE

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…

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