I don't disagree, but that reinforces my point above I think. If AI has to assume the data is of poor quality, then there's no point in even trying to analyze it. The options are basically:

1. Trust the source of the data to be honest about it's quality

Or

2. Distrust the source

Approach number 2 basically means we can never do any analysis on it.

Personally I'd rather have a product that might be wrong than none at all, but that's a personal preference.