From AI to AIR: Augmented Intelligence Reasoning · v0.1
Year: 2026
Type: article
Abstract: Minor corrections from From AI to AIR: Augmented Intelligence Reasoning · v0.1 to references, in-text citations, terminology consistency, and cross-referencing. No substantive change to the conceptual argument. This working note introduces AIR as a layered conceptual term for examining how reasoning changes when artificial intelligence enters human, institutional, and socio-technical systems. AIR carries three related meanings. First, AIR means Augmented Intelligence Reasoning: a shift of attention from what artificial intelligence can generate to how reasoning itself changes when AI enters the field. Second, AIR means Augmentation Is Relational: augmentation does not occur in the abstract, but is always augmentation of something, for someone, within certain relations, under particular conditions, and with particular consequences. Third, AIR points to the atmospheric quality of AI-mediated environments: like air, AI may become most consequential when it is ambient, backgrounded, and only noticed when pressure, composition, or conditions change. Although the note uses “AI” for readability, much of the discussion is especially concerned with large language model (LLM) environments and related generative systems, where language, representation, interface, and probabilistic reasoning become central conditions of interaction. By shifting attention from artificial intelligence as an isolated object to augmented reasoning as a relational field, AIR asks: what kind of human intelligence becomes more or less possible around AI, and under what conditions? This working note defines the core concept of “From AI to AIR” within the From AI to AIR Series(《从 AI 到 AIR:人工智能时代的范式转型》系列). It establishes AIR as a three-layered concept: Augmented Intelligence Reasoning, Augmentation Is Relational, and AI as Atmosphere. The series further develops this framing through works including From AI to AIR: A Three-Layered Framework for the Emerging AI Paradigm. Relational Dynamics™ is the original theory of system trajectories developed by Dr Alice Jing Shan 单景, providing a lens for understanding how systems form, stabilise, drift, adapt, and sometimes collapse under constraint over time. Version 0.2 establishes AIR as an initial conceptual coordinate within Relational Dynamics™: Theory of System Trajectories, developed through ScholarLand Ltd. 本工作札记提出 AIR 这一多层概念,用于理解人工智能进入人类、制度与社会技术系统之后,推理条件如何发生变化。 AIR 在本文中包含三个相互关联的含义。第一,AIR 指 Augmented Intelligence Reasoning(增强智能推理):它将注意力从“人工智能能够生成什么”转向“当 AI 进入场域后,推理本身如何发生变化”。第二,AIR 指 Augmentation Is Relational(增强是关系性的):增强并不发生在抽象层面,而总是发生于某物、某人、某种关系、特定条件及其后果之中。第三,AIR 指向 AI 介入环境的“空气性”或背景条件特征:如同空气一样,AI 往往在作为环境背景存在时最具影响力,并且常常在压力、成分或条件发生变化时才被清楚察觉。 虽然本文为便于阅读使用 “AI” 一词,但讨论重点主要指向大型语言模型(LLM)环境及相关生成式系统。在这些系统中,语言、表征、界面与概率性推理成为互动的核心条件。 通过将注意力从“作为孤立对象的人工智能”转向“作为关系场的增强推理”,AIR 追问的是:在 AI 周围,什么样的人类智能会变得更可能或更不可能,在什么条件下发生? 本工作札记对 From AI to AIR Series(《从 AI 到 AIR:人工智能时代的范式转型》系列)的核心概念 “From AI to AIR” 作出定义。该系列通过包括 From AI to AIR: A Three-Layered Framework for the Emerging AI Paradigm 在内的后续工作,对这一概念框架作进一步展开。 Relational Dynamics™(关系动力学™)是由 Dr Alice Jing Shan 单景创立并发展的系统轨迹理论,为理解系统如何在约束与时间中形成、稳定、漂移、适应,并有时走向崩塌提供一个观察框架。 0.2 版将 AIR 确立为 Relational Dynamics™: Theory of System Trajectories(关系动力学™:系统轨迹理论)中的一个初始概念坐标,并通过 ScholarLand Ltd 持续发展。 ——— Use and Permissions This work is licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0). It may be cited and shared for non-commercial scholarly and educational purposes with proper attribution and without modification. Any use beyond the permissions granted under CC BY-NC-ND 4.0, including commercial use and the distribution of adaptations or derivative works, or incorporation of AIR (Augmented Intelligence Reasoning; Augmentation Is Relational; AI as Atmosphere), the From AI to AIR framework, related diagrams, conceptual structures, language, or related materials into paid courses, consultancy, training programmes, workshops, institutional learning products, AI strategy materials, or other commercial materials, requires prior written permission and, where applicable, a separate licensing agreement from Dr Alice Jing SHAN 单景 / ScholarLand Ltd.
Author: Shan, Alice Jing
Language: English
Subfield: History and Philosophy of Science
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7162677291