Dynamic Allocation of Shared Tasks in Industrial Human-AI Teaming

The growing adoption of AI in industry calls for a reevaluation of task allocation between humans and technology. While AI enhances human and technical capabilities, it also introduces risks, such as trust issues and potential harm to individuals, organizations, and the environment. Research on the dynamic allocation of shared tasks in industry, particularly involving AI, remains limited. This paper highlights the need for a broader perspective on task allocation, emphasizing human agency, control, and risk-based approaches. It explores the dynamic allocation of shared tasks in six human-AI teaming use cases in construction and manufacturing.