#hybrid intelligence

Author(s): Scott Douglas Jacobsen Publication (Outlet/Website): The Good Men Project Publication Date (yyyy/mm/dd): 2025/05/09  Neil Sahota, an IBM Master Inventor and AI expert, discusses AI’s rapid evolution, applications, and ethical challenges. He explains AI as a “high-energy intern” that learns from data rather than following rigid programming, differentiating it from traditional…

Hybrid Intelligence is turning into a super cool field that’s all about the mix between human smarts and AI. Often called “System 0,” it’s basically how we vibe with technology. The goal? To boost our brainpower, as long as we can keep AI in check. “System 0” is a game-changer in how we think. It’s not like our gut reactions, which is what we call “System 1,” and it’s also different from the…

Hybrid Intelligence: When Machines and Humans Work Together

  In a previous blog, I argued that the best way to look into AI was not from a machine versus human perspective but more from a human PLUS machine paradigm. That is, the goal of AI should not be replacement but augmentation. Artificial Intelligence should be about enhancing human flourishing rather simply automating human activities. Hence, I was intrigued to learn about the concept of HI…

混合智能：

生物智能、人类智能与机器智能各有所长，具有很强的互补性。机器智能擅长于海量存储、快速搜索及精确数值计算等，而人类智能优于抽象思维、推理、学习等高级智能活动。人类在计算检索、归纳演绎、直觉常识等方面占优。受益于自然进化，动物在环境信息感知、觅食求偶逃生等方面表现出远胜人类的智能行为，如大鼠的空间记忆和蜜蜂导航过程中的路径优化等。一些模仿生物智能行为的算法，如基于光流的视频信息处理，已广泛应用与机器视觉和无人机驾驶，被证明具有简单、高效、鲁棒性强等特点。

借助脑机接口与互联网技术，我们把目光逐渐扩展到生物脑、人脑以及机器脑三者的互联互通，思考如何构建融合三者之长的新型智能系统，使其表现出性能更强的智能行为。随着神经科学、仿生学与人工智能的发展与汇聚，我们已经站在了一个智能科学探索的新阶段。一方面，分析生物脑实验数据，使用机器智能理解生物脑的工作机理，仿生实现更具有智能特性的机器脑；另一方面，借助脑机接口技术连接生物脑与机器脑，利用互联网连接人脑与人脑、人脑与机器脑，实现机器智能、生物智能与人类智能的多层次融合。