重新思考人工智能与生物智能的关联，揭示数字健康中的智能本质。
From artificial to organic: Rethinking the roots of intelligence for digital health
- 以生物智能为根源，重构人工智能的认知基础。
- 强调组织与适应性是智能的核心，而非参数量或技术神秘化。
- 适合关注数字健康、人机协同与智能本质的读者。
术语'人工'暗示与自然或有机体的固有对立。然而，我们所知的AI实际上是有机智慧的产物：由人类认知设计、实现并不断迭代改进。支撑AI系统的基本原理，从神经网络到决策算法，均源自人类神经生物学和进化过程中的有机智能。在数字健康领域，从有机到人工智能的路径既非神秘，也非仅关乎参数数量，其本质在于组织与适应。因此，人工与有机之间的界限远比命名所暗示的更为模糊。
原文摘要 · Abstract (English)
The term artificial implies an inherent dichotomy from the natural or organic. However, AI, as we know it, is a product of organic ingenuity: designed, implemented, and iteratively improved by human cognition. The very principles that underpin AI systems, from neural networks to decision-making algorithms, are inspired by the organic intelligence embedded in human neurobiology and evolutionary processes. The path from organic to artificial intelligence in digital health is neither mystical nor merely a matter of parameter count, it is fundamentally about organization and adaption. Thus, the boundaries between artificial and organic are far less distinct than the nomenclature suggests.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。