Traditionally, for complex issues such as sustainability or general-purpose technologies like AI, frameworks are used to create structure and to decompose aspects into specific categories and maturity stages. These frameworks serve an essential role in educating management, creating clarity, improving the ability to act, and accelerating adoption. A number of AI maturity frameworks have been published (see Figure 1) that typically cover specific aspects of AI integration in business, but do not holistically integrate the technical, organisational, and ethical aspects in a comprehensive way. In this paper, we propose an AI Innovation Maturity Index (AIMI) as an attempt to rectify this.

中文翻译：

---

人工智能与创新管理融合：美好友谊的开始

传统上，对于可持续性或通用技术（如人工智能）等复杂问题，框架用于创建结构并将方面分解为特定类别和成熟度阶段。这些框架在教育管理、创建清晰度、提高行动能力和加速采用方面发挥着重要作用。已经发布了许多 AI 成熟度框架（见图 1），这些框架通常涵盖 AI 集成在业务中的特定方面，但并未全面整合技术、组织和道德方面。在本文中，我们提出了 AI 创新成熟度指数 (AIMI)，以尝试纠正这一问题。