Governance of Generative Artificial Intelligence for Companies
Johannes Schneider Rene Abraham Christian Meske
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. This review paper fills this gap by surveying recent works. It
goes beyond mere summarization by developing a framework for GenAI governance
within companies. Our framework outlines the scope, objectives, and governance
mechanisms tailored to harness business opportunities and mitigate risks
associated with GenAI integration. This research contributes a focused approach
to GenAI governance, offering practical insights for companies navigating the
challenges of responsible AI adoption. It is also valuable for a technical
audience to broaden their perspective as increasingly ethical and business
concerns gain in prevalence and allow them to identify novel research
directions.