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arXiv 2403.08802cs.AIcs.CYcs.LG
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企业生成式人工智能的治理

Governance of Generative Artificial Intelligence for Companies

University of Liechtenstein(列支敦士登大学);Ruhr University Bochum(波鸿鲁尔大学)

Johannes Schneider, Rene Abraham, Christian Meske

AI总结:

本文提出了一种针对生成式人工智能治理的框架,旨在平衡商业机会与风险,为公司提供实用指导。

摘要:

生成式人工智能(生成式人工智能,GenAI),特别是像ChatGPT这样的大型语言模型,已经迅速进入组织中,但缺乏适当的治理,带来了机会和风险。尽管关于GenAI变革潜力的广泛讨论和新兴监管措施,但有限的研究从技术和商业角度探讨了组织治理。虽然存在AI治理框架,但不清楚这些框架在GenAI中的适用性。本文综述了近期文献,以更好地理解GenAI的基本特征,并将现有治理框架适应于组织中的GenAI。为此,它扩展了Nickerson的框架开发过程,纳入了先前的概念化。最终的框架界定了范围、目标和治理机制,旨在利用GenAI整合的商业机会并减轻相关风险。总体而言,这项研究提出了一种针对GenAI治理的专注方法,为公司应对GenAI采用的挑战提供实用指导,并突显了研究空白。

英文摘要:

Generative Artificial Intelligence (GenAI) like ChatGPT has swiftly entered organizations without adequate governance, posing both opportunities and risks. Limited research addresses organizational governance from both technical and business perspectives. This gap is particularly relevant for international businesses, where differences in regulation, language, and business environments complicate governance. While multiple frameworks for AI governance exist, this needed diversity is lacking for 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. The resulting framework delineates scope, objectives, and governance mechanisms designed to both harness business opportunities and mitigate risks associated with GenAI integration. We theorize a distinctive property of GenAI governance: its scope is endogenous to use. Unlike conventional organizational AI, for which governance is organized around a fixed artifact (e.g., model, intended use), GenAI allows users to reconfigure the artifact (e.g., its behavior and risk). Consequently, the object of governance is not fixed ex ante but is partly constituted through use.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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