KNOWLEDGE GOVERNANCE IN ARTIFICIAL INTELLIGENCE ENVIRONMENTS
Keywords:
knowledge governance, artificial intelligence, knowledge management, digital transformation, information scienceAbstract
The increasing adoption of Artificial Intelligence by organizations has significantly transformed knowledge creation, sharing, and use processes. At the same time, challenges related to information quality, algorithm transparency, and accountability in decisions supported by intelligent systems have become more evident. In this context, this study analyzes the theoretical foundations of Knowledge Governance in Artificial Intelligence-supported environments and proposes a conceptual framework to understand the relationships among information, knowledge, technology, and human factors. This qualitative, exploratory, and descriptive research was developed through a narrative literature review with a structured search and conceptual analysis. The examined literature enabled the identification of recurring elements associated with governance, knowledge management, algorithmic ethics, and digital transformation. As a result, five analytical dimensions—strategic, informational, organizational, technological, and human—were systematized as the foundations of Knowledge Governance in contexts characterized by the growing use of intelligent systems. The proposed framework integrates these dimensions into a systemic perspective, highlighting that the effectiveness of Artificial Intelligence depends not only on technological resources but also on information quality, organizational learning processes, and human-centered principles.