Knowledgebase

Designing Review Into AI Workflows Print

  • aiethicsresponsibleuse, errors, troubleshooting, guide, howto, solution, zillionkinghost, hosting
  • 0

Making oversight real.

WHAT TO DECIDE BEFORE BUILDING

What must be reviewed By whom With what knowledge How would an error be detected

THAT LAST QUESTION

If an error would not be detected, the workflow is unsafe regardless of the review step.

WHAT MAKES REVIEW MEANINGFUL

The reviewer can evaluate the output They have time They have authority to reject Rejection is acted upon

WHERE FULL REVIEW IS IMPRACTICAL

Sample. Check a proportion regularly and thoroughly.

Enough to detect a systematic problem.

WHAT TO MONITOR

Error rate over time Whether review is actually happening Whether reviewers are rejecting anything

THAT LAST POINT

A review process that never rejects anything is not reviewing.

WHAT TO BUILD IN

Logging, so you can see what happened A way to stop the process Alerts when output looks unusual

WHAT TO AVOID

Review that exists only on paper.


Was this answer helpful?
Back

Are you happy with your experience? Leave us a review on Trustpilot.


Trustpilot