用可控的干扰机制防止人被AI过度依赖，守护思考自主权。
Cognitive Agency Surrender: Defending Epistemic Sovereignty via Scaffolded AI Friction
- 设计带摩擦的AI交互，让机器辩论来逼人独立思考。
- 2026年研究中人类主导认知的比例降至13.1%，机器代理超19.6%。
- 适合关注AI伦理、人机协同与认知安全的研究者。
生成式人工智能的泛滥使原本无害的认知外包演变为认知自主权丧失的系统性风险。在‘零摩擦’设计理念驱动下，高度流畅的AI界面利用人类认知吝啬心理，过早满足认知闭合需求，导致严重自动化偏见。我们通过零样本语义分类流程（τ=0.7）对2023年至2026年初的1,223篇高置信度AI-HCI论文进行分析，发现‘代理接管’趋势加剧：2025年捍卫人类认知主权的研究占比达19.1%，但在2026年初骤降至13.1%，同时优化自主机器代理的研究比例飙升至19.6%，而无摩擦可用性仍保持67.3%的结构性主导地位。为破解此困局，我们提出‘分层认知摩擦’理论，将多智能体系统（MAS）作为显式认知强制机制（如计算版反方论证），注入相关认知张力，打断启发式执行。此外，我们规划了多模态计算表型方案——整合眼动转移熵、任务诱发瞳孔反应、fNIRS及层级漂移扩散模型（HDDM），以数学方式分离决策结果与认知努力。有意设计的摩擦不仅是心理干预，更是实现全球AI治理与维护社会认知韧性的基础技术前提。
原文摘要 · Abstract (English)
The proliferation of Generative Artificial Intelligence has transformed benign cognitive offloading into a systemic risk of cognitive agency surrender. Driven by the commercial dogma of "zero-friction" design, highly fluent AI interfaces actively exploit human cognitive miserliness, prematurely satisfying the need for cognitive closure and inducing severe automation bias. To empirically quantify this epistemic erosion, we deployed a zero-shot semantic classification pipeline ($τ=0.7$) on 1,223 high-confidence AI-HCI papers from 2023 to early 2026. Our analysis reveals an escalating "agentic takeover": a brief 2025 surge in research defending human epistemic sovereignty (19.1%) was abruptly suppressed in early 2026 (13.1%) by an explosive shift toward optimizing autonomous machine agents (19.6%), while frictionless usability maintained a structural hegemony (67.3%). To dismantle this trap, we theorize "Scaffolded Cognitive Friction," repurposing Multi-Agent Systems (MAS) as explicit cognitive forcing functions (e.g., computational Devil's Advocates) to inject germane epistemic tension and disrupt heuristic execution. Furthermore, we outline a multimodal computational phenotyping agenda -- integrating gaze transition entropy, task-evoked pupillometry, fNIRS, and Hierarchical Drift Diffusion Modeling (HDDM) -- to mathematically decouple decision outcomes from cognitive effort. Ultimately, intentionally designed friction is not merely a psychological intervention, but a foundational technical prerequisite for enforcing global AI governance and preserving societal cognitive resilience.
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