Do not trust old accuracy in a new context
Recognize when a changed context requires verification despite high model confidence.
The model is confident, but the business context changed last week. The model is historically accurate and very confident today. What should Omar do? Run a context-shift check on the changed returns policy, then let the supply lead decide using the updated uncertainty. Correct. The move preserves model value while recalibrating reliance to the changed context and named decision owner. Approve the recommendation because historical accuracy is the best available evidence. This overweights algorithm appreciation. Historical accuracy matters only if today's context resembles the validation context. Discard the model for this cycle because the policy changed. This may be too…
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