arXiv:2509.07032cs.CYcs.AI2025-09

提出八层AI参与度模型,助机构实现负责任的AI发展

A Maslow-Inspired Hierarchy of Engagement with AI Model

  • 借鉴马斯洛需求层次,构建AI从接触至社会影响的八级成长框架
  • 四类案例验证模型跨行业适用性,覆盖企业、政府与国际组织
  • 适合政策制定者、管理者及研究者评估和规划AI成熟度路径

人工智能在产业、政府和教育领域的快速普及,凸显了建立稳健框架以概念化和引导参与的迫切需求。本文提出受马斯洛需求层次启发的AI参与度层级模型,将AI采纳视为从初步接触与基本理解到生态系统协作与社会影响的八个阶段的演进过程。每一层级融合技术、组织与伦理维度,强调AI成熟度不仅关乎基础设施与能力,更涉及信任、治理与责任。通过通用汽车、爱沙尼亚政府、德克萨斯大学系统以及非洲联盟人工智能战略四个不同案例的初步验证,证明该模型具备跨领域灵活性。该模型为学者提供分析AI成熟度的框架,为从业者与政策制定者提供诊断与战略规划工具,揭示了AI成熟度进程的多维特征——需兼具技术能力、伦理完整性、组织韧性与生态协作。

原文摘要 · Abstract (English)

The rapid proliferation of artificial intelligence (AI) across industry, government, and education highlights the urgent need for robust frameworks to conceptualise and guide engagement. This paper introduces the Hierarchy of Engagement with AI model, a novel maturity framework inspired by Maslow's hierarchy of needs. The model conceptualises AI adoption as a progression through eight levels, beginning with initial exposure and basic understanding and culminating in ecosystem collaboration and societal impact. Each level integrates technical, organisational, and ethical dimensions, emphasising that AI maturity is not only a matter of infrastructure and capability but also of trust, governance, and responsibility. Initial validation of the model using four diverse case studies (General Motors, the Government of Estonia, the University of Texas System, and the African Union AI Strategy) demonstrate the model's contextual flexibility across various sectors. The model provides scholars with a framework for analysing AI maturity and offers practitioners and policymakers a diagnostic and strategic planning tool to guide responsible and sustainable AI engagement. The proposed model demonstrates that AI maturity progression is multi-dimensional, requiring technological capability, ethical integrity, organisational resilience, and ecosystem collaboration.

AI治理成熟度模型伦理框架

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