How do you keep AI automation from creating bad data?
We constrain sources, validate required fields, record provenance, separate suggestions from approved values, log failures and route low-confidence results to review. Automation must make uncertainty visible rather than hiding it behind fluent output.
How do you keep AI automation from creating bad data?
We constrain sources, validate required fields, record provenance, separate suggestions from approved values, log failures and route low-confidence results to review. Automation must make uncertainty visible rather than hiding it behind fluent output.
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