STAGE-AI Metrics: 기업을 위한 생성형 AI 평가지표 설계

This study proposes STAGE-AI Metrics, a comprehensive evaluation framework designed to effectively manage the complex risks associated with the adoption of generative AI in enterprises. The framework encompasses five key dimensions: Social Impact, Technical Performance, Adaptation to Organization, Growth in Sustainability, and Ethical Consideration. For each dimension, it provides detailed evaluation metrics and relevant benchmarks. Notably, the framework is structured in a sequential manner, first assessing Technical Performance (Technology) as the foundation, followed by Social Impact (Social) and Ethical Considerations (Ethics) to ensure a holistic evaluation. STAGE-AI Metrics enables a comprehensive assessment that extends beyond the fundamental evaluation of AI system performance to include its broader impact on organizations and society, while also considering sustainability (Sustainability) as a critical factor. Unlike conventional performance assessment methods that focus solely on technical aspects, this framework adopts a multi-dimensional approach, integrating social and ethical perspectives. This allows enterprises to select and implement AI models that are optimized for their unique characteristics and requirements. By providing a practical tool to identify and mitigate potential issues in the early stages of AI adoption, this study aims to enhance the success rate of AI implementation in enterprises and contribute to their long-term competitiveness.