Generative Artificial Intelligence (GenAI), specifically large language models like ChatGPT, has swiftly entered organizations without adequate governance, posing both opportunities and risks. Despite extensive debates on GenAI's transformative nature and regulatory measures, limited research addresses organizational governance, encompassing technical and business perspectives. Although numerous frameworks for governance of AI exist, it is not clear to what extent they apply to GenAI. Our review paper fills this gap by surveying recent works with the purpose of better understanding fundamental characteristics of GenAI and adjusting prior frameworks specifically towards GenAI governance within companies. To do so, it extends Nickerson's framework development processes to include prior conceptualizations. Our framework outlines the scope, objectives, and governance mechanisms tailored to harness business opportunities as well as mitigate risks associated with GenAI integration. Our research contributes a focused approach to GenAI governance, offering practical insights 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，已迅速进入各类组织，却缺乏充分的治理，这既带来了机遇也带来了风险。尽管关于GenAI的变革本质和监管措施已有广泛讨论，但从技术和商业视角探讨组织治理的研究仍然有限。虽然存在大量关于人工智能治理的框架，但这些框架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研究填补了这一空白，旨在更好地理解GenAI的基本特征，并针对企业内部的GenAI治理调整现有框架。为此，本文扩展了Nickerson的框架开发流程，将先前的概念化工作纳入其中。我们提出的框架界定了范围、目标以及治理机制，这些机制旨在帮助企业把握商业机遇，同时降低与GenAI整合相关的风险。本研究为GenAI治理提供了一种聚焦的方法，为企业应对GenAI采纳过程中的挑战提供了实用见解，并指出了未来的研究空白。