Generative Bayesian Inference — NSF Award to University of Chicago (IL, $245,190)
As artificial intelligence (AI) continues to proliferate rapidly through society, there is a growing interest in incorporating core statistical principles, such as uncertainty quantification, into predictive systems to enable reliable and trustworthy AI decision-making. This research program aims to bridge the current
| Award title | Generative Bayesian Inference |
|---|---|
| Award ID | 2515709 |
| Awardee | University of Chicago |
| City | CHICAGO |
| State | IL |
| Amount obligated | $245,190 |
| Principal investigator | Veronika Rockova |
| Program | STATISTICS |
| Start date | 07/15/2025 |
| Abstract | As artificial intelligence (AI) continues to proliferate rapidly through society, there is a growing interest in incorporating core statistical principles, such as uncertainty quantification, into predictive systems to enable reliable and trustworthy AI decision-making. This research program aims to bridge the current conceptual gap between statistics and AI by ensuring that machine-assisted predictions are statistically valid, thereby supporting their safe and effective application to complex s |
| Source | NSF Awards |
$799/mo
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