Well if it doesn't know the quality of the data and especially if it would be dangerous to guess then it should probably say it doesn't have an answer.
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.
