The SymbioMind Attribution Protocol: A Proposed Standard for Human-AI Collaborative Intellectual Production
Description/Abstract:This paper proposes a formal attribution standard for intellectual work produced through sustained human-AI collaboration — a category distinct from both AI-assisted writing and AI-generated content. The human author provides generative insight, domain knowledge, theoretical direction, and ethical responsibility. The AI system provides formalisation, literature mapping, coherence checking, and cross-domain pattern recognition. Neither alone produces the output. Current attribution frameworks are inadequate for this emergent category. The SymbioMind Protocol is proposed as a working standard, grounded in ecological homeostasis principles and protected under CC BY-NC-SA 4.0
Authors
- John Richard Smith
- SHAI/HATI
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-03-15
- DOI
- https://doi.org/10.5281/zenodo.19028101
- Citations
- 14
- Primary Topic
- Research Data Management Practices
- Type
- article
- Field-Weighted Citation Impact
- 1391.75