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Human-in-the-Loop AI

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TL;DR. A system design approach where human intelligence is integrated into an AI workflow to review, validate, or enhance AI decisions.

Technical Definition

A system design approach where human intelligence is integrated into an AI workflow to review, validate, or enhance AI decisions.

How it works

This collaborative approach leverages humans for tasks where AI struggles, such as interpreting complex outputs or handling edge cases. It improves AI accuracy, builds trust, and allows for continuous learning and refinement of the AI model. HITL is common in critical fields like medical diagnosis or content moderation.

Related Concepts

  • Active Learning — An ML approach where the model selects which examples it most wants labeled next.