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[2403.08802] Governance of Generative Artificial Intelligence for Companies
Summary
This article reviews governance frameworks for Generative AI, focusing on how companies can effectively manage the integration of large language models while mitigating risks.
Why It Matters
As Generative AI technologies rapidly evolve and are adopted by organizations, understanding their governance is crucial to harnessing their potential while addressing ethical, legal, and operational risks. This research provides a structured approach to governance, filling a significant gap in existing literature.
Key Takeaways
- Generative AI presents both opportunities and risks for organizations.
- Existing governance frameworks need adaptation to effectively manage Generative AI.
- The article proposes a tailored governance framework for companies integrating GenAI.
- It highlights the importance of balancing business objectives with risk mitigation.
- The research identifies gaps in current literature regarding GenAI governance.
Computer Science > Artificial Intelligence arXiv:2403.08802 (cs) [Submitted on 5 Feb 2024 (v1), last revised 20 Feb 2026 (this version, v5)] Title:Governance of Generative Artificial Intelligence for Companies Authors:Johannes Schneider, Pauline Kuss, Rene Abraham, Christian Meske View a PDF of the paper titled Governance of Generative Artificial Intelligence for Companies, by Johannes Schneider and Pauline Kuss and Rene Abraham and Christian Meske View PDF Abstract: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 advanc...