Norbert Wiener, a mathematician who developed cybernetics in the mid-20th century, shaped early artificial intelligence research while being among the first to publicly warn of automation's risks. Wiener's work on feedback systems and self-regulating machines laid theoretical groundwork for modern AI, though he grew increasingly concerned about the societal implications of automated systems. His dual legacy—as both a pioneer of computational theory and an early voice cautioning against unchecked technological deployment—remains relevant to contemporary debates over AI safety and labor displacement.
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