Beginner · Evaluation

Threshold (AI)

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. A predefined level that an AI model's confidence score must meet to trigger a specific action.

Technical Definition

A predefined level that an AI model's confidence score must meet to trigger a specific action.

How it works

Thresholds are used in conversational AI to control behavior based on the model's confidence. For instance, an intent might only be considered 'recognized' if its confidence score is above a 0.7 threshold. If below, a fall-back strategy like asking for more information or human handoff is invoked, ensuring reliability.

Related Concepts

• Precision & Recall — Complementary metrics measuring classifier accuracy on positive predictions (precision) and ability to find all positives (recall).
• Fall-back Strategies — Pre-defined actions an AI takes when it cannot understand a user's query or fulfill a request.
• Confidence Score — A numerical value indicating the AI's certainty in its prediction, such as an intent classification.