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arXiv cs.AI· Marc Schmitt·· 5 小时前AI 评分36

AI 融入企业高管层:首席 AI 官(CAIO)角色的战略整合研究

Strategic Integration of Artificial Intelligence in the C-Suite: The Role of the Chief AI Officer

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arXiv 论文提出角色设计理论,解释企业为何以不同方式设置首席 AI 官(CAIO):识别出 AI 系统区别于以往企业级技术的三项特性,以及集中延伸、分布延伸和设新岗三种配置。基于首份高管 AI 领导档案普查,研究发现该角色自 2023 年以来迅速扩散,设新岗与扩展现有职权近乎并进,采用集中在已有数字化领导架构的组织,且任期数据不支持 CAIO 是临时角色的说法。

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Abstract:The integration of Artificial Intelligence (AI) into corporate strategy has become critical for organizations seeking to maintain competitive advantage in the digital age. Although organizations increasingly rely on AI as a strategic and organizational resource, existing C-suite roles remain only partially equipped to govern, integrate, and leverage it coherently at the enterprise level. Organizations vary in their responses. Some create a dedicated Chief AI Officer (CAIO), others extend existing mandates into hybrid roles, and still others coordinate AI through federated structures. This paper develops a role-design theory to explain this variation. I identify three properties that distinguish AI systems from earlier cross-cutting enterprise technologies, distributed accountability for judgment, upstream governance, and non-stationarity, and three configurations through which organizations respond: concentrated extension, distributed extension, and role creation. Four propositions specify when a dedicated CAIO emerges, what form an organization's response takes, when the role is effective, and how configurations evolve. Drawing on the first archival census of executive AI leadership, I find that the role has diffused sharply since 2023, that role creation and mandate extension are advancing in near parity, that adoption concentrates where digital leadership structures already exist, and that executive tenures contradict practitioner accounts of a transient role. The paper contributes to research on executive leadership, AI governance, and the design of AI-driven organizations.
Subjects: Computers and Society (cs.CY); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); General Economics (econ.GN)
Cite as: arXiv:2407.10247 [cs.CY]
  (or arXiv:2407.10247v4 [cs.CY] for this version)
  https://doi.org/10.48550/arXiv.2407.10247

arXiv-issued DOI via DataCite

Submission history

From: Marc Schmitt [view email]
[v1] Tue, 30 Apr 2024 19:07:18 UTC (1,100 KB)
[v2] Wed, 30 Jul 2025 07:54:27 UTC (405 KB)
[v3] Mon, 8 Jun 2026 08:42:16 UTC (265 KB)
[v4] Thu, 29 Oct 2026 09:08:21 UTC (134 KB)

来源:arXiv cs.AI · arxiv.org