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A business user asks why an opaque model rejected a particular application. An LLM produces a fluent explanation without access to the decision model inputs or an explanation method. How should the team treat this text?
Published
- As an unverified generated rationale, not evidence of the actual factors behind the model decision.
- As a faithful explanation solely because the language is clear and confident.
- As proof that the original model is inherently transparent.
- As an exact mathematical guarantee of fairness for all future applicants.
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