Ripples of Change – An AI Job Crafting Model for Human-in-Control
Rania Afiouni, Alain Pinsonneault
2022Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences28 citationsDOIOpen Access PDF
Abstract
Introducing a new Artificial Intelligence (AI) system disrupts workers’ sense of control. To restore it, individual workers are likely to engage in self-initiated changes to their jobs. We build on job crafting theory and extend it to propose a theoretical model explaining the ripple effect of changes from tasks to skills, relationships, and finally job cognition. We introduce the concept of human-in-control (one’s perception of their ability to deliver desired work outcomes in a work context involving AI) as the goal of the job crafting process. Our work provides a novel and important perspective on job transformation with AI. As such, it opens numerous avenues for research in this nascent stream.
Topics & Concepts
Computer scienceControl (management)Human–computer interactionArtificial intelligenceDigital Transformation in IndustryDigital Economy and Work Transformation