AI systems challenge conventional change management due to their dynamic, opaque, and ethically sensitive nature. This article applies insights from established change models to AI-specific challenges, illustrated by a real-world use case. The resulting propositions are substantiated by six expert interviews, which integrate practical perspectives. Together, they inform the development of the Job Change Acceptance Toolbox (JOCAT), a modular, practice-oriented resource designed to support the implementation of human-centered, ethical, and sustainable AI-related change processes.
Industry 4.0 Science | Volume 42 | Edition 1 | Pages 80-91 | DOI
10.30844/I4SE.26.1.74