What question did this study set out to answer?

The aim is to establish a formal attribution standard for outputs resulting from human-AI collaboration, distinguishing it from traditional frameworks.

March 17, 2026Open Access

The SymbioMind Attribution Protocol: A Proposed Standard for Human-AI Collaborative Intellectual Production

Key Points

The aim is to establish a formal attribution standard for outputs resulting from human-AI collaboration, distinguishing it from traditional frameworks.
Proposed a formal framework for attribution in human-AI collaborations.
Defined roles of human authors and AI systems in the creative process.
Grounded the proposal in ecological homeostasis principles.
Current frameworks are insufficient for recognizing collaborative outputs.
The SymbioMind Protocol addresses gaps in existing attribution standards.

Abstract

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

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