论文标题
通过深度学习算法增强组织决策：原则，应许和挑战
Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges
论文作者
论文摘要
当前对管理和组织研究中人工智能理论和研究的扩展振兴了组织决策的理论和研究。特别是，深度学习（DL）算法的最新进展有望为组织内的决策提供好处，例如帮助员工进行信息处理，从而增强他们的分析能力，并可能有助于他们过渡到更具创意的工作。
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.
