The SymbioMind Attribution Protocol: A Proposed Standard for Human-AI Collaborative Intellectual Production
John Richard Smith, SHAI/HATI
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
Topics & Concepts
AttributionGenerative grammarCoherence (philosophical gambling strategy)PsychologyProduction (economics)Domain (mathematical analysis)Knowledge managementSocial psychologyReflexivityEpistemologyWork (physics)Computer sciencePublic domainAuthorship attributionManagement scienceCognitive scienceSociologyNon-humanEngineering ethicsProtocol (science)Research Data Management PracticesEthics and Social Impacts of AIEmbodied and Extended Cognition