Human-machine collaboration: How do employees interact with artificial intelligence?

This chapter examines the conceptual framework of artificial intelligence (AI) systems in the organisational context in terms of human-machine collaboration in three dimensions: supportive, collaborative, and autonomous AI models. A literature review integrates theoretical approaches on employee perceptions, acceptance and resistance processes, and the role of organisational culture in adaptation, establishing connections between performance, motivation, and psychosocial effects. Ethical dimensions are evaluated in the context of autonomy, privacy, and fairness, and the potential consequences of AI on work-life balance and role ambiguity are revealed. The findings point to a lack of empirical research despite conceptual richness and suggest the development of measurement tools with both descriptive and experimental designs. The chapter provides a roadmap for future applied research while emphasising the importance of clarifying strategic decision-making processes related to AI adaptation in an organisational context.