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Methodological framework reveals a recursive protocol for human–AI knowledge creation, suggesting improved reliability through gated epistemic validation.
This paper presents the Protocol for Cognitive Synergy in Human–AI Cooperation as a methodological framework for structuring the joint cognitive process of humans and artificial intelligence in knowledge creation. The Protocol is based on the functional complementarity of two different cognitive systems. It operationalizes their cooperation through a recursive process that includes human epistemic problem framing, AI analytical expansion, iterative human–AI co-structuring of reasoning, joint epistemic validation, consensus assessment, joint knowledge output development, and outcome evaluation. Decision gates between specific phases allow advancement only when relevant quality criteria are met. Failure to meet these criteria activates a return to a previous or other relevant phase. Special attention is given to potential errors of the human, the AI, and the structure of their interaction. These include source issues, AI hallucinations, semantic drift, cognitive biases, propagation of erroneous premises, and false consensus. Human and AI contributions are functionally different. However, claims within the joint process are epistemically evaluated based on the quality of reasoning, evidential grounding, coherence, and contribution to the joint output. Disagreement can serve to expand the solution space and stabilize argumentation. If sufficient convergence is not achieved after appropriate verification, the final decision and responsibility remain human. The operational diagram and the methodological table for problem identification, corrective action, resolution criteria, and return or continuation conditions represent the central instrument of the Protocol. The purpose of the Protocol is to increase the reliability of joint knowledge creation through a stable, disciplined, transparent, verifiable, and recursive interaction.
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Eraldo Banovac (2026) studied this question.
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