AI existential risk probabilities are still too unreliable to inform policy

Two researchers argue that current estimates of AI existential risk remain too unreliable to inform public policy, republishing their earlier deconstruction of p(doom) as such rhetoric drives unprecedented policy attention. They contend that unlike most quantitative forecasts, these probabilities rest on no validated model or method, and that inductive, deductive and subjective approaches all fail for AI x-risk.