让人类专家思维与AI可交互、可复用，实现协作增强新范式
Deconstructing the Dual Black Box:A Plug-and-Play Cognitive Framework for Human-AI Collaborative Enhancement and Its Implications for AI Governance
- 构建可插拔的认知框架，将专家经验转化为可计算知识包
- 通过元交互机制实现人机思维协同，使决策过程可审计、可扩展
- 适合关注AI治理、人机协作的科研人员与政策制定者
当前，人类专家的隐性认知（认知黑箱）与AI的不可信决策（计算黑箱）之间存在根本性分裂。本文提出‘人机协同认知增强’新范式，通过结构化‘元交互’将双重黑箱转化为可组合、可审计、可扩展的‘功能白盒’系统。核心突破在于‘可插拔认知框架’——一种从专家对话中提取并加载至递归对抗元思维网络（RAMTN）的可计算知识包，使医学诊断逻辑、教学直觉等专家思维得以转化为可复用、可扩展的公共资产，实现从‘工具型AI’到‘思维伙伴型AI’的范式跃迁。该研究首次为‘认知公平’提供工程验证，并开辟了新路径：通过‘交互协议透明化’而非窥探模型内部，构建可验证、可干预的AI治理机制。框架已开源，推动技术向善与认知包容。本文为作者独立探索，理论框架（RAMTN）、方法（元交互）、系统实现与案例验证均为个人研究成果。
原文摘要 · Abstract (English)
Currently, there exists a fundamental divide between the "cognitive black box" (implicit intuition) of human experts and the "computational black box" (untrustworthy decision-making) of artificial intelligence (AI). This paper proposes a new paradigm of "human-AI collaborative cognitive enhancement," aiming to transform the dual black boxes into a composable, auditable, and extensible "functional white-box" system through structured "meta-interaction." The core breakthrough lies in the "plug-and-play cognitive framework"--a computable knowledge package that can be extracted from expert dialogues and loaded into the Recursive Adversarial Meta-Thinking Network (RAMTN). This enables expert thinking, such as medical diagnostic logic and teaching intuition, to be converted into reusable and scalable public assets, realizing a paradigm shift from "AI as a tool" to "AI as a thinking partner." This work not only provides the first engineering proof for "cognitive equity" but also opens up a new path for AI governance: constructing a verifiable and intervenable governance paradigm through "transparency of interaction protocols" rather than prying into the internal mechanisms of models. The framework is open-sourced to promote technology for good and cognitive inclusion. This paper is an independent exploratory research conducted by the author. All content presented, including the theoretical framework (RAMTN), methodology (meta-interaction), system implementation, and case validation, constitutes the author's individual research achievements.
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