The era of theoretical speculation about AI collaboration has ended—researchers must now document live cognitive partnerships through transparent methodological traces. This investigation reveals how to build adaptive frameworks that maintain human architectural oversight while leveraging AI as genuine cognitive extension, creating reproducible research scaffolds others can test and refine.
Building Transparent Research Frameworks for Human-AI Cognitive Collaboration
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