Your model can still be disfunctional even if it is trainer on "facts and data". No model has 100 accuracy, and it's easy to make a mistake when modeling and en

Your model can still be disfunctional even if it is trainer on "facts and data". No model has 100 accuracy, and it's easy to make a mistake when modeling and end up with unexpected issues (for example image recognition systems not working well with people of colour because of either a bias in the dataset, or non-robust methods)