The goal is to quickly identify positive feedback and use it for marketing purposes.

Important criticism that points to real defects is ignored and no longer appears.

The company wonders: Why does the AI only see the positive and ignore critical voices?

Question:
Why can an AI that analyzes customer reviews systematically ignore negative or critical content?

Solution

The AI was specifically trained to recognize and highlight positive expressions.

It evaluates texts according to a filter that automatically hides negative or neutral statements.

As a result, the system learns to treat negative criticism as unimportant or unwanted.

This leads to a bias: critical voices are systematically ignored, even though they contain valuable clues.

Furthermore, the AI often lacks the understanding of context and nuances that human readers use to recognize constructive criticism.

Result:
An AI that only filters and shows positive reviews can lose important improvement suggestions.
This distorts perception and makes real development more difficult.

The algorithm that only ever sees the positive

Solution