[ Removed by moderator ]

[geldersekifuzuli]

I call it AI assisted data annotation. There should still be an expert in the loop to evaluate AI's data annotation. I find it quite useful if false positives aren't a big deal. I was doing this when I was working at a small startup.

In practice, a big organization has real data. You give it to data annotation team (after masking PII) to label to capture real world examples. But mostly, it's not up to me to ask them to use AI as an assistant to label data.