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Responsibility Drift in AI-Mediated Systems

Author: Xufen Tu
Affiliation: Independent Interdisciplinary Researcher
Research Domains: Complex Systems · AI Governance · Decision Architecture · Human Judgment

Canonical research repository (sole authoritative reference):

https://github.com/xufentu-creator/judgment-as-structural-constraint


Overview

This repository contains the research paper "Responsibility Drift in AI-Mediated Systems" authored by Xufen Tu (2026).

The study examines how responsibility shifts within AI-mediated decision environments as systems scale and replicate across complex operational contexts. In highly automated systems, responsibility may gradually drift from identifiable human actors toward distributed and opaque system structures.

This research analyzes responsibility drift as a structural phenomenon emerging from automation, high-replication environments, and complex decision architectures. It proposes a conceptual framework for understanding responsibility distribution and maintaining human judgment stability within AI-governed systems.


Research Context

This work contributes to an ongoing research series exploring structural boundaries of human judgment in complex and AI-mediated systems.

Related research themes include:

  • Human Judgment in Complex Systems
  • Responsibility Structures in Automated Environments
  • AI Governance and Accountability
  • Decision Architecture under High Replication
  • Structural Stability of Human Oversight

Repository Contents

This repository contains the following materials:

  • PDF version of the research paper
  • Markdown source version of the paper
  • Abstract and research keywords
  • Citation metadata
  • License information
  • Cryptographic provenance record (hash-based integrity references) File structure: Responsibility-Drift-in-AI-Mediated-Systems_Tu_2026.pdf Responsibility-Drift-in-AI-Mediated-Systems_Tu_2026.md ABSTRACT.md KEYWORDS.md CITATION.cff LICENSE PROVENANCE.md

Citation

Citation information is provided in the CITATION.cff file.

If referencing this work in academic or research contexts, please cite the author:

Tu, Xufen (2026).
Responsibility Drift in AI-Mediated Systems.


Research Keywords

Complex Systems
AI Governance
Decision Architecture
Human Judgment
Responsibility Structures
Automation Boundaries
Responsibility Drift
Accountability Architecture
High-Replication Systems


License

This research is released under the Creative Commons Attribution 4.0 International License (CC-BY-4.0).

See the LICENSE file for details.


Provenance

Cryptographic hashes and IPFS identifiers for repository files are recorded in PROVENANCE.md to support long-term research integrity verification and provenance tracking.


Author

Xufen Tu
Independent Interdisciplinary Researcher

Research focus:

Complex Systems
AI Governance
Decision Architecture
Human Judgment

For archival and indexing purposes, this work is also registered in external repositories. https://doi.org/10.5281/zenodo.18899779

About

Research on responsibility drift in AI-mediated systems, examining responsibility distribution and accountability structures in complex AI-driven environments.

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