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March 6, 20260 citationsOpen Access

Human Responsibility Node in High-Replication Systems

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XTXufen Tu

Key Points

  • The study aims to explore the role of human responsibility in complex AI-assisted decision systems.
  • Introduced the concept of the Human Responsibility Node.
  • Analyzed responsibility concentration and drift in decision systems.
  • Examined structural stability within high-replication environments.
  • Identified how responsibility dynamics affect decision-making in AI systems.
  • Found correlations between responsibility drift and decision quality.
  • Discussed implications for accountability in AI-assisted environments.

Abstract

This paper introduces the concept of the Human Responsibility Nodein high-replication decision systems. The framework analyzes howresponsibility concentration, drift, and structural stability emergein complex AI-assisted decision environments. Related research: Tu, X. (2026). Judgment Before Momentum (1.0.2).https://doi.org/10.5281/zenodo.18571480 Tu, X. (2026). Human Judgment as an Irreducible Interface in High-Complexity Systems (1.0).https://doi.org/10.5281/zenodo.18573944

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Cite This Study

Xufen Tu (2026) studied this question.

synapsesocial.com/papers/69aa70c8531e4c4a9ff5ad3ehttps://doi.org/10.5281/zenodo.18865828
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