What concept becomes crucial for operational integrity, even for professionals who are not data scientists?
Answer
Understanding how data is collected, tagged, and used to train AI models.
Operational integrity relies on all relevant personnel possessing data literacy. This means understanding the lifecycle of data—how it is gathered and labeled—so that operators can correctly assess the inputs if a system provides questionable warnings.
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