Artificial intelligence (AI) has become an important topic in business literature and strategy talk. Yet, much of this literature is normative and conceptual in nature. How organizational members perceive AI and the job role changes that come with it is, so far, largely unknown territory for both HR scholars and practitioners. We sought to investigate the relationship between humans and AI and conducted an in-depth exploratory study into the co-existence of humans and two early-stage AI-solutions, one for “low-status” automation and another for “high-status”; augmentation. We suggest that different organizational groups may engage in distinctly different sensemaking processes regarding AI, an important insight for successful HRM strategies when AI is being introduced into the workplace. Moreover, contrary to recent conceptual work, our findings indicate that AI-enabled automation and augmentation solutions may not be detached from nor exist in tension with each other. They are deeply embedded in organizational processes and workflows for which people who co-exist with the technologies must take ownership. Our findings, in part, go against discussions on AI “taking over” jobs or deskilling humans. We describe a more nuanced version of reality fluctuating around the various ways different organizational groups encounter different AI-solutions in their daily work. Finally, our study warns against unconditional technological enthusiasm, managerial ignorance of the nature of work that employees undertake in different organizational groups, and a neglect of the time and effort required to successfully implement AI-solutions that affect not only the home organization but also members of the broader ecosystem.

中文翻译：

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最好的朋友还是破损的工具？探索人类与人工智能在工作场所生态系统中的共存

人工智能 (AI) 已成为商业文献和战略谈话中的重要话题。然而，这些文献中的大部分本质上都是规范性和概念性的。迄今为止，对于人力资源学者和从业者而言，组织成员如何看待人工智能以及随之而来的工作角色变化在很大程度上是未知的。我们试图调查人类与人工智能之间的关系，并对人类与两种早期人工智能解决方案的共存进行了深入的探索性研究，一种用于“低状态”自动化，另一种用于“高状态”自动化; 增强。我们建议，不同的组织团体可能会参与关于人工智能的截然不同的意义建构过程，这是在将人工智能引入工作场所时成功的人力资源管理战略的重要见解。此外，与最近的概念性工作相反，我们的研究结果表明，支持 AI 的自动化和增强解决方案可能不会相互分离，也不会相互紧张。它们深深地嵌入到组织过程和工作流中，与技术共存的人必须掌握这些过程和工作流。我们的研究结果部分反对关于人工智能“接管”工作或降低人类技能的讨论。我们描述了一个更细微的现实版本，围绕不同组织团体在日常工作中遇到不同人工智能解决方案的各种方式而波动。最后，我们的研究警告不要无条件的技术热情、管理层对员工在不同组织群体中承担的工作性质的无知，