This research aims to identify the current state of literature on the implications that Artificial Intelligence Governance (AIG) has on organizational Knowledge Governance (KGov) in the era of Generative Artificial Intelligence (Gen AI). The combination of AIG, Gen AI, and KGov is a relatively new field, especially with the use of Gen AI, which brings new ethical and transparency challenges that need to be governed due to their influence on decision-making within organizations. The methodology involved an in-depth theoretical exploration through bibliographic research and analysis on the topics of governance, knowledge, or Knowledge Management (KM), and artificial intelligence in organizations. The results discuss the exponential growth of Gen AI today and highlight an urgent need for the development of governance processes and frameworks that can keep pace with this growth of new knowledge impacting organizations. The research presents an integrated view of governance and its relationships that will support companies in managing their knowledge, identifying gaps in these relationships that affect the utilization of knowledge generated by Gen AI, which is crucial for public and business acceptance.
Fernandes et al. (Thu,) studied this question.