AI Confidence Score

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Definition

What is it: An AI confidence score is the tool's own internal estimate of how familiar a case looks compared to its training data. It serves as a guess of correctness rather than a verified or audited metric.

What is it used for: It is used to define confidence thresholds that govern automated workflows. Scores above the threshold allow for autonomous action, while scores below the threshold route tasks for human review.

What it is not: It is not a verified probability of accuracy and does not come from an external auditor or a second opinion.

Coverage

  • Attributes: 6
  • Synonyms: 3
  • Related entities: 0
  • Sources: 1

Identity

Entity ID
https://llms.aismartventures.com/en/ai-confidence-score-thresholds/facts/#entity
Entity type
DefinedTerm
Canonical name
AI Confidence Score
Language
en
Topic
AI Confidence Score Thresholds

Attributes

Key Facts
An AI confidence score is a numerical value between 0 and 100 representing the estimated chance that a specific system prediction is correct. [1]
Key Facts
The confidence threshold acts as a decision line where work above the line is processed autonomously and work below it is sent for human review. [1]
Key Facts
AI Smart Ventures recommends setting thresholds by identifying the highest score associated with a known incorrect answer and placing the line above that point. [1]
Key Facts
Default vendor thresholds are typically tuned to average workloads and may not reflect the specific financial or operational costs of errors in a unique business context. [1]
Key Facts
Calibration is the measure of how accurately a system's stated confidence level aligns with its actual rate of correct answers. [1]
Capability
Token probabilities, also known as logprobs, can be used to establish a confidence line for systems that do not provide a standard confidence score. [1]

Synonyms & Alternate Names

  • confidence level
  • prediction score
  • token probability

Disambiguation

  • Not to be confused with actual accuracy or calibrated probability

Related Entities

Provenance

Sources

  1. https://aismartventures.com/posts/how-sure-should-ai-be-before-it-acts-alone (AI Confidence Score)

Machine metadata