The rising use of artificially intelligent (AI) technologies, including generative AI tools, in organizations is undeniable. As these systems become increasingly integrated into organizational practices and processes, understanding their impact on workers' experiences and job designs is critical. However, the ongoing discourse surrounding AI use in the workplace remains divided. Proponents of the technology extol its benefits for enhancing efficiency and productivity, while others voice concerns about the potential harm to human workers. To provide greater clarity on this pressing issue, this article presents a systematic review of empirical research that sheds light on the implications of AI use at work. Organized under five inductively generated themes within a multilevel framework, we uncover individual, group, and organizational factors that shape the interplay between humans and AI. Specifically, the themes are: (1) human–AI collaboration; (2) perceptions of algorithmic and human capabilities; (3) worker attitudes towards AI; (4) AI as a control mechanism in algorithmic management of platform-based work; and (5) labor market implications of AI use. Our review offers insights into these themes and identifies five pathways for future research. Finally, we provide practical recommendations for organizational leaders seeking to implement AI technologies while prioritizing their employees' well-being.

中文翻译：

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组织中人工智能的多层次审查：对组织行为研究和实践的影响

不可否认的是，人工智能 (AI) 技术（包括生成式 AI 工具）在组织中的使用不断增加。随着这些系统越来越多地融入组织实践和流程，了解它们对员工体验和工作设计的影响至关重要。然而，围绕工作场所人工智能使用的持续讨论仍然存在分歧。该技术的支持者称赞其在提高效率和生产力方面的好处，而其他人则担心它对人类工人的潜在危害。为了更清楚地阐明这一紧迫问题，本文对实证研究进行了系统回顾，阐明了人工智能在工作中使用的影响。我们在多层次框架内根据五个归纳生成的主题进行组织，揭示了塑造人类与人工智能之间相互作用的个人、群体和组织因素。具体来说，主题是：（1）人类与人工智能的协作； (2) 对算法和人类能力的看法； （3）工人对人工智能的态度； （4）人工智能作为平台工作算法管理的控制机制； (5)人工智能使用对劳动力市场的影响。我们的评论提供了对这些主题的见解，并确定了未来研究的五种途径。最后，我们为寻求实施人工智能技术同时优先考虑员工福祉的组织领导者提供实用建议。