Custom Engineering · Development Testing and Delivery
AI Performance Acceptance Methods
Acceptance for an AI-enabled system should be written in operational terms, on a frozen dataset, with the cost of misses and false alarms stated.
Overview
- Fix the evaluation dataset and the metric definitions before development, not after the first results.
- Express acceptance against the operator's decision, not against a model score.
- State performance per condition — day, night, season, surface — with the sample sizes.
- Agree what happens when performance is close to but not at the threshold: conditional acceptance, with a plan.
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