The rapid development of machine-learning algorithms, which underpin contemporary artificial intelligence systems, has created new opportunities for the automation of work processes and management functions. While algorithmic management has been observed primarily within the platform-mediated gig economy, its transformative reach and consequences are also spreading to more standard work settings. Exploring algorithmic management as a sociotechnical concept, which reflects both technological infrastructures and organizational choices, we discuss how algorithmic management may influence existing power and social structures within organizations. We identify three key issues. First, we explore how algorithmic management shapes pre-existing power dynamics between workers and managers. Second, we discuss how algorithmic management demands new roles and competencies while also fostering oppositional attitudes toward algorithms. Third, we explain how algorithmic management impacts knowledge and information exchange within an organization, unpacking the concept of opacity on both a technical and organizational level. We conclude by situating this piece in broader discussions on the future of work, accountability, and identifying future research steps.

支持当代人工智能系统的机器学习算法的快速发展为工作流程和管理功能的自动化创造了新的机会。虽然算法管理主要是在以平台为中介的零工经济中观察到的，但它的变革性影响和后果也正在蔓延到更标准的工作环境。探索算法管理作为反映技术基础设施和组织选择的社会技术概念，我们讨论算法管理如何影响组织内的现有权力和社会结构。我们确定了三个关键问题。首先，我们探讨算法管理如何塑造工人和经理之间预先存在的权力动态。第二，我们讨论算法管理如何要求新的角色和能力，同时也培养对算法的反对态度。第三，我们解释了算法管理如何影响组织内的知识和信息交换，在技术和组织层面上解开不透明的概念。最后，我们将这篇文章放在关于未来工作、问责制和确定未来研究步骤的更广泛讨论中。