Approaches to Responsible Governance of GenAI in Organizations

• URL: http://arxiv.org/abs/2504.17044v1
• Date: Wed, 23 Apr 2025 18:43:29 GMT
• Title: Approaches to Responsible Governance of GenAI in Organizations
• Authors: Dhari Gandhi, Himanshu Joshi, Lucas Hartman, Shabnam Hassani,
• Abstract summary: This paper draws on literature, established governance frameworks, and industry roundtable discussions to identify core principles for integrating responsible GenAI governance into diverse organizational structures.<n>Findings emphasize the need for adaptable risk assessment tools, continuous monitoring practices, and cross-sector collaboration to establish trustworthy GenAI.
• Score: 0.1747623282473278
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The rapid evolution of Generative AI (GenAI) has introduced unprecedented opportunities while presenting complex challenges around ethics, accountability, and societal impact. This paper draws on a literature review, established governance frameworks, and industry roundtable discussions to identify core principles for integrating responsible GenAI governance into diverse organizational structures. Our objective is to provide actionable recommendations for a balanced, risk-based governance approach that enables both innovation and oversight. Findings emphasize the need for adaptable risk assessment tools, continuous monitoring practices, and cross-sector collaboration to establish trustworthy GenAI. These insights provide a structured foundation and Responsible GenAI Guide (ResAI) for organizations to align GenAI initiatives with ethical, legal, and operational best practices.

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