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Globex Manufacturing, a multinational corporation with production facilities across three continents, recently implemented an AI-driven predictive maintenance system to optimize equipment uptime and reduce operational costs. The initial deployment focused primarily on technical performance metrics, such as prediction accuracy and maintenance scheduling efficiency. However, after six months, the company is facing significant resistance from its workforce, particularly in its European plants, where employees express concerns about potential job displacement and the lack of transparency in the AI\'s decision-making processes. Furthermore, there have been reports of inconsistent performance across different manufacturing sites, leading to skepticism about the system\'s reliability. Senior management, initially enthusiastic about the project, are now questioning its overall value and sustainability.\n\nConsidering the principles of ISO 42001:2023 and the importance of a holistic approach to AI management, which of the following actions should Globex Manufacturing prioritize to address the current challenges and ensure the long-term success of its AI-driven predictive maintenance system?
Develop a comprehensive stakeholder engagement plan to address employee concerns, update the AI governance framework to include ethical considerations and continuous improvement mechanisms, and implement ongoing monitoring and maintenance procedures throughout the AI lifecycle.
Re-evaluate the technical specifications of the AI system, focusing on improving prediction accuracy and optimizing maintenance schedules across all manufacturing sites, while temporarily suspending the system in the European plants to address employee concerns.
Implement a company-wide communication campaign to highlight the cost savings and efficiency gains achieved through the AI system, while simultaneously reducing the workforce in the European plants to align with the optimized maintenance schedules.
Outsource the management of the AI system to a specialized AI consulting firm, entrusting them with the responsibility of addressing employee concerns and ensuring consistent performance across all manufacturing sites, without further internal oversight.

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