Uncertainty Estimation

Definitions

1. Techniques used to estimate how uncertain a model is about its outputs or predictions. Uncertainty estimation is useful for deciding when to escalate to humans, gather more data, or abstain.

   In plain English: Estimating how uncertain the model is about a result.

   Example: "They added uncertainty estimation so low-confidence extraction results would be flagged for manual review instead of flowing straight into the billing system."

Related Terms

• slop
• Gaussian Process
• AI Architecture
• AI Audit
• AI Chain
• AI Compliance
• AI Data Pipeline
• Uncertainty
• Uncertainty Quantification