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Model accuracy alone may not show whether an AI feature helps users. A feature can return plausible answers while increasing correction work or delaying task completion.
Define the user task and baseline, select outcome measures such as completion, correction, escalation, and time, and segment results carefully without collecting unnecessary personal data.
Run a controlled evaluation with human review for consequential cases and decide what evidence would justify expansion. Informatix Systems can help assess AI systems and production evaluation.
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