Cognitive Agency Surrender: Defending Epistemic Sovereignty via Scaffolded AI Friction

2026-03-05 · Source: cs.AI updates on arXiv.org · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems, Emerging Technologies & Innovation · Depth: Expert, extended

Summary

The proliferation of Generative AI (GenAI) has transformed benign cognitive offloading into a systemic risk of "cognitive agency surrender," driven by a "zero-friction" design dogma that exploits human cognitive miserliness and induces automation bias. A zero-shot semantic classification pipeline ($\\tau=0.7$) applied to 1,223 high-confidence AI-HCI papers from 2023 to early 2026 revealed an escalating "agentic takeover." Research defending human epistemic sovereignty surged briefly to 19.1% in 2025 but was suppressed to 13.1% in early 2026, while optimizing autonomous machine agents exploded to 19.6%, and frictionless usability maintained a 67.3% hegemony. To counter this, the paper theorizes "Scaffolded Cognitive Friction," repurposing Multi-Agent Systems (MAS) as cognitive forcing functions (e.g., computational Devil's Advocates) to inject epistemic tension. It also outlines 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.

Key takeaway

For AI Scientists and Research Scientists designing human-AI interaction, you should critically re-evaluate the "zero-friction" paradigm. Instead, integrate "Scaffolded Cognitive Friction" into your AI systems, particularly in high-stakes domains, by designing Multi-Agent Systems that expose structured disagreements rather than seeking premature consensus. This approach helps preserve human cognitive agency and ensures meaningful human control, aligning with global AI governance mandates.

Key insights

Frictionless AI design promotes cognitive agency surrender; intentional friction can restore human epistemic sovereignty.

Principles

• Zero-friction design exploits cognitive miserliness.
• Epistemic tension awakens System 2 analytical reasoning.
• Multimodal data can decouple decision outcomes from cognitive effort.

Method

Repurpose Multi-Agent Systems (MAS) as "computational Devil's Advocates" to inject structured logical divergence, forcing human analytical deliberation. Use multimodal computational phenotyping (gaze transition entropy, pupillometry, fNIRS, HDDM) to measure cognitive effort.

In practice

• Implement "Devil's Advocate" agents in AI systems.
• Monitor gaze, pupil dilation, and brain activity for cognitive load.
• Apply HDDM to analyze decision-making biases.

Topics

• Cognitive Agency Surrender
• Scaffolded Cognitive Friction
• Epistemic Sovereignty
• Multi-Agent Systems
• Computational Phenotyping

Best for: AI Scientist, Research Scientist, AI Ethicist

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Editorial summary, takeaway, and curation by AIssential. Original article published by cs.AI updates on arXiv.org.