Inductive inference is a reasoning process that involves drawing general conclusions from specific observations, essentially allowing one to predict future instances based on observed patterns. Though powerful, it carries the risk of uncertainty, as conclusions depend on the scope and reliability of the given data, making it more probabilistic than definitive.