Challenges in Knowledge Sharing with Artificial Intelligence: A Research Exploration

The integration of Artificial Intelligence (AI) into knowledge management has transformed how organisations create, store, and share knowledge. However, alongside its innovative potential, AI presents significant challenges that can impede effective knowledge sharing. This study explores the complex challenges organisations face when incorporating AI into knowledge-sharing practices. Using a systematic review of current literature and interviews with practitioners, the research identifies major barriers such as algorithmic opacity, data privacy issues, bias in AI-produced knowledge, erosion of human trust, and ethical questions around decision-making autonomy. The study also emphasises how organisational culture, digital preparedness, and governance structures influence the relationship between AI adoption and knowledge-sharing success. By presenting a conceptual framework of these interconnected challenges, this paper adds to the ongoing discourse on responsible and human-centred AI in knowledge management, offering practical insights for managers and researchers striving to balance technological efficiency with ethical and collaborative concerns.