Feedback Loop AI

Noun · AI & Machine Learning

Definitions

  1. A feedback loop involving AI outputs influencing future inputs, behavior, training data, or user decisions in ways that reinforce certain patterns over time. These loops can improve systems or amplify errors, bias, and drift if unmanaged.

    In plain English: A reinforcing loop where AI outputs affect future AI behavior or data.

    Example: "The ranking system created a feedback loop AI problem because items shown more often generated more clicks and then looked even more relevant in future training data."

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