dailyai.report

Three components—premises, conclusions, and rules—define an inference according to Frank Ramsey. He argues that inductive rules differ from deductive ones because they do not preserve truth. Instead, they must reliably extend beliefs to unobserved cases. This framework informs how AI safety researchers evaluate the reliability of out-of-distribution generalizations in machine learning.