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Dynamic Allocation of Shared Tasks in Industrial Human-AI Teaming

Year: 2025

Type: article

Abstract: 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.

Source: IFAC-PapersOnLine

DOI: 10.1016/j.ifacol.2025.09.129

Authors: Jos A.C. Bokhorst, Sabine Waschull, Christos Emmanouilidis

Institution: University of Groningen

Language: English

Topic: Human-Automation Interaction and Safety

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: diamond

Funder: HORIZON EUROPE Framework Programme

Awards: G2008405981, G5845518965