Governance of Generative Artificial Intelligence for Companies

• URL: http://arxiv.org/abs/2403.08802v3
• Date: Tue, 03 Dec 2024 09:39:57 GMT
• Title: Governance of Generative Artificial Intelligence for Companies
• Authors: Johannes Schneider, Pauline Kuss, Rene Abraham, Christian Meske,
• Abstract summary: Generative Artificial Intelligence (GenAI) has swiftly entered organizations without adequate governance. Despite extensive debates on GenAI's transformative nature and regulatory measures, limited research addresses organizational governance. Our review paper fills this gap by surveying recent works with the purpose of better understanding fundamental characteristics of GenAI.
• Score: 1.2818275315985972
• License:
• Abstract: 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.

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