I think there's 4 categories of issues: - 1. AI that's just not good enough, e.g. it requires 100% confidence not to be problematic (Detecting whether it's a p

I think there's 4 categories of issues: - 1. AI that's just not good enough, e.g. it requires 100% confidence not to be problematic (Detecting whether it's a person or a gorilla. Autonomous driving) - 2. AI that's correctly trained but discovers problematic trends and attempts to do prediction based on these trends (Train on poverty + race correlations) - 3. AI that's incorrectly trained on inherently biased data and just reaffirms the problematic trend (Train only on male CVs for hiring prediction.) - 4. Buggy code that spits out bad data.