How to Avoid Cataclysmic Errors in AI Research

Judgment aggregation is the vogue right now in AI research. It's a more general voting theory than voting let's put it this way okay voting you aggregate preferences mhm um and in judgment aggregation instead of saying i like cheese better than cake you have some kind of a question which is distinct true so you have a series of questions. This can help us maybe avoid cataclysmic errors because you have some sort of feedback loop there to say this is probably going to happen  and that can be avoided by using statistics method based methods.