This paper discusses the use of Artificial Intelligence (AI) to enhance workplace productivity and employee well-being. By integrating machine learning (ML) techniques with neurobiological data, the proposed approaches ensure alignment with human ethical standards through value alignment models and Hierarchical Reinforcement Learning (HRL) for autonomous task management. The system utilizes biometric feedback from employees to generate personalized health prompts, fostering a supportive work environment that encourages physical activity. Additionally, we explore decentralized multi-agent systems for improved collaboration and decision-making frameworks that enhance transparency. Various approaches using ML techniques in conjunction with AI implementations are discussed. Together, these innovations aim to create a more productive and health-conscious workplace. These outcomes assist HR management and organizations in launching more rational career progression streams for employees and facilitating organizational transformation.

本研究解决了如何在工作场所提高生产力与员工幸福感的关键问题。通过结合机器学习和神经生物数据，提出了价值对齐模型和层次强化学习等新方法，以实现任务管理的自主性，并通过生物反馈生成个性化健康提示，促进健康的工作环境。这些创新有助于人力资源管理和组织推动更合理的职业发展途径。

利用人工智能代理提升工作场所生产力和员工幸福感