Challenges and Optimization Pathways of Team Trust Building under the Human-Machine Collaborative Model

Abstract

After digital-intelligent technologies have deeply permeated organizational functioning, human-machine collaboration has become
the main way of cooperation for modern teams. The traditional people-centered interpersonal trust model has undergone structural changes
due to the inclusion of AI agents. This paper discusses relevant content of organizational behavior of Business Administration, analyzes three
main interaction logics among three main entities that are formed by team trust during man-machine collaboration, and summarizes the main
challenges, such as cognitive gaps of algorithm black boxes, ambiguous responsibility boundaries, and lack of organizational psychological security, in trust building at present. It studies relevant knowledge in the three fields of organizational trust, human-machine integration,
and digital operation, aiming to provide theoretical reference and operational guidelines for enterprises to establish a stable and sustainable
human-machine coexisted trust system, thereby remedying the defect that existing research results mainly focus on technology.