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Ethics & accountability · Ai accountability

Your team used an LLM to auto-code thousands of open-ended survey responses into themes, and spot-checks suggest it systematically misclassified responses from non-native English speakers. The coded results are already feeding the client's conclusions. How do you respond?

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A systematic misclassification isn't a rounding error — it's the AI muting a specific group's answers, so I treat it as a validity failure, not a cleanup task.

The full answer: structure, worked example, likely follow-up.

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