John Deacon Cognitive Systems. Structured Insight. Aligned Futures.

Tagcognitive extension

Building Transparent Research Frameworks for Human-AI Cognitive Collaboration

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 Conscious Co-Authorship: A Research Framework for Human-AI Cognitive Integration

Researchers exploring machine-augmented cognition face the challenge of maintaining identity coherence while expanding cognitive reach. This methodological framework treats human-AI interfaces as sites of conscious co-authorship, providing transparent processes for designing cognitive extensions that strengthen rather than fragment core identity.

John Deacon Cognitive Systems. Structured Insight. Aligned Futures.

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