NSF award 2610618 · University of Chicago

Nonparametric causal factor models for reliable generative AI

Final report due

28 September 2029

in 1,076 days · The award ends on 31 May 2029.

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No-cost extension notice21 May 2029in 946 days
award ending 2029-05-31 · Research.gov
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Final report due28 Sep 2029in 1076 days
award ending 2029-05-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Sep 2029in 1076 days
award ending 2029-05-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Sep 2029in 1076 days
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So the final report is due by 28 September 2029.

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Award card

Award number: 2610618
Period of support: 1 Jun 2026 – 31 May 2029
Amount: $200,000
Awardee: University of Chicago, Chicago, IL
Program: STATISTICS
Directorate: MPS

Abstract

Modern artificial intelligence systems produce striking images, text, and other creative outputs, but it is often unclear what these systems have actually learned internally. This makes it difficult to ensure that these models are reliable, safe, and trustworthy when deployed in the real world. Although these models can imitate patterns in data, the process through which they do so does not necessarily correspond to…

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