Generative Artificial Intelligence (GenAI), specifically large language models (LLMs) like ChatGPT, has swiftly entered organizations without adequate governance, posing both opportunities and risks. Despite extensive debate on GenAI's transformative potential and emerging regulatory measures, limited research addresses organizational governance from both technical and business perspectives. While frameworks for AI governance exist, it remains unclear to what extent they apply to GenAI. This review paper fills this gap by surveying recent literature to better understand the fundamental characteristics of GenAI and to adapt existing governance frameworks specifically to GenAI within organizations. To this end, it extends Nickerson's framework development process by incorporating prior conceptualizations. The resulting framework delineates scope, objectives, and governance mechanisms designed to both harness business opportunities and mitigate risks associated with GenAI integration. Overall, this research advances a focused approach to GenAI governance, offering practical guidance for companies navigating the challenges of GenAI adoption and highlighting research gaps.

翻译：生成式人工智能（GenAI），特别是像ChatGPT这样的大型语言模型（LLM），在缺乏充分治理的情况下迅速进入各类组织，既带来了机遇也带来了风险。尽管关于GenAI变革潜力和新兴监管措施的讨论广泛存在，但从技术和商业双重角度探讨其组织治理的研究仍然有限。虽然现有的人工智能治理框架，但其在多大程度上适用于GenAI尚不明确。本综述论文通过梳理近期文献来填补这一空白，旨在更好地理解GenAI的基本特征，并将现有治理框架专门调整以适应组织内的GenAI。为此，本文扩展了Nickerson的框架开发流程，融入了先前的概念化成果。所提出的框架界定了范围、目标以及治理机制，旨在同时把握商业机遇并降低与GenAI整合相关的风险。总体而言，本研究推进了一种聚焦于GenAI治理的方法，为企业应对GenAI采纳过程中的挑战提供了实用指导，并指明了未来的研究空白。