Well there is the only law that goes with deep learning, the law of statistics. The interpretation that has the highest number of occurrences will most likely b

Well there is the only law that goes with deep learning, the law of statistics. The interpretation that has the highest number of occurrences will most likely be preferred. If you take the standard dataset, i.e. the internet, I would suppose it's actually not that morally bad on average because the sites it's sourced from are largely moderated, and the ones that aren't tend to be thrown out. So there would have to be an inherent lawful, positive bias due to the general lack of the opposite in the ground truth examples provided.