用深度学习算法增强组织决策：原则、承诺和挑战
Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges
ETH Zurich（苏黎世联邦理工学院）
摘要：
当前人工智能在管理和组织研究中的理论和研究的扩展使组织决策的理论和研究重新焕发了活力。特别是，深度学习（DL）算法的最新进展有望为组织内的决策带来好处，例如帮助员工进行信息处理，从而增强他们的分析能力，并可能帮助他们过渡到更具创造性的工作。
英文摘要：
The current expansion of theory and research on artificial intelligence in management and organization studies has revitalized the theory and research on decision-making in organizations. In particular, recent advances in deep learning (DL) algorithms promise benefits for decision-making within organizations, such as assisting employees with information processing, thereby augment their analytical capabilities and perhaps help their transition to more creative work.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
