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.

翻译：当前，人类专家的“认知黑箱”（隐性直觉）与人工智能（AI）的“计算黑箱”（不可信决策）之间存在根本性割裂。本文提出“人机协同认知增强”新范式，旨在通过结构化“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“即插即用认知框架”——一种可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。该框架使得医学诊断逻辑、教学直觉等专家思维能转化为可复用、可扩展的公共资产，实现从“AI作为工具”到“AI作为思维伙伴”的范式转变。本工作不仅为“认知平权”提供了首个工程化证明，更为AI治理开辟了新路径：通过“交互协议透明化”而非窥探模型内部机制，构建可验证、可干预的治理范式。框架已开源以促进技术向善与认知包容。本文为作者独立探索性研究，所呈现的理论框架（RAMTN）、方法论（元交互）、系统实现及案例验证等内容均为作者个人研究成果。