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Artificial intelligence systems are increasingly asked to reason under uncertainty: to weigh incomplete evidence, assess risk, and produce judgments where no fact set is complete. Almost without exception, the uncertainty frameworks embedded in these systems are probabilistic. Neural networks output probability distributions. Large language models are trained to predict likely continuations. Risk-scoring systems assign probability…

Artificial intelligence is reshaping the modern workforce. It is not replacing the importance of traditional skills, but it is changing how those skills are applied, extended, and combined with new capabilities. The shift is not sudden. It is unfolding across industries, professions, and institutions, creating a landscape where human judgment and AI proficiency increasingly work…