为组织提供负责任的生成式AI治理框架，平衡创新与风险。
Approaches to Responsible Governance of GenAI in Organizations
- 基于文献与行业研讨，提炼可落地的治理原则。
- 提出动态风险评估与持续监控机制以保障可信度。
- 适合关注AI伦理与合规的科技企业及管理者。
生成式AI的快速发展带来了前所未有的机遇，同时也引发了伦理、问责与社会影响等方面的复杂挑战。本文通过文献综述、既有治理框架分析以及行业圆桌讨论，识别出将负责任的生成式AI治理融入多样化组织结构的核心原则。研究目标是为实现创新与监督平衡提供可操作的建议，推动基于风险的治理模式。研究强调需具备灵活的风险评估工具、持续监测实践以及跨领域协作，以建立可信的生成式AI体系。相关成果形成结构化基础，并推出《负责任生成式AI指南》（ResAI），助力组织将生成式AI项目与伦理、法律及运营最佳实践对齐。
原文摘要 · Abstract (English)
PEER-REVIEWED AND ACCEPTED IN IEEE- ISTAS 2025 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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