OMB Individually Reported
Surrogate models for probabilistic Bayesian inference
Low riskExact public inventory row
Description
Estimate unknown model parameters using surrogate models for probabilistic Bayesian inference.
Detailed example
Produce high-quality, contextually relevant, and coherent responses or content based on user input.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Enables faster, more reliable insights from complex physical models.
Audit / financial statement impact
Does not meet any requiremnts for high Impact use case
Controls / human review
ATO: Yes; PIA: Not published
Data needed
No