Summary of Governance Of Generative Artificial Intelligence For Companies, by Johannes Schneider et al.
Governance of Generative Artificial Intelligence for Companies
by Johannes Schneider, Pauline Kuss, Rene Abraham, Christian Meske
First submitted to arxiv on: 5 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computers and Society (cs.CY); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper reviews recent works on Generative Artificial Intelligence (GenAI) to better understand its fundamental characteristics and develop frameworks for governing its integration within organizations. The review aims to adjust existing AI governance frameworks specifically towards GenAI, considering both technical and business perspectives. The authors extend Nickerson’s framework development processes to include prior conceptualizations and propose a tailored framework outlining scope, objectives, and governance mechanisms for harnessing business opportunities while mitigating risks associated with GenAI adoption. This research contributes practical insights for companies navigating GenAI challenges, highlighting gaps in existing frameworks. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how to govern the use of a new type of artificial intelligence called Generative AI within companies. It reviews what others have written about this topic and tries to figure out how to make it work better for businesses. The authors are trying to create guidelines that can help companies make good decisions when using GenAI, while also minimizing any potential problems. This research could be helpful for companies that want to use GenAI, but don’t know where to start. |
