Advances in artificial intelligence have fundamentally altered the organizational risk landscape. This study analyzed the evolution of risk governance in the artificial intelligence era through a systematic literature review of literature from two thousand twenty-one to two thousand twenty-five. Data were collected from indexed journals, consultant reports, and international standard frameworks. The results indicated a duality of artificial intelligence: as an enabler that transformed enterprise risk management into predictive, and as a source of new risks such as algorithmic bias and cyber vulnerability. Effective risk governance required reconstruction of three pillars: governance structure with artificial intelligence ethics committees, human-machine collaborative risk culture, and adaptive frameworks integrating artificial intelligence risk taxonomy. The conclusion emphasized that this transformation was a paradigmatic transformation requiring fundamental reconstruction in how organizations managed risk.
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