Back to search

Article

Entropy-to-Coherence Alignment Framework: Exploring Human–AI–Human Interaction for Epistemic Integrity and Ethical Alignment in AGI Development

2025-08-13

Abstract excerpt

<title>Abstract</title> <p>This research explores the epistemic and cognitive boundaries of human–AI interaction through a longitudinal, closed-loop dialogue with a GPT-based model. Motivated by a self-reflective hypothesis—that human intelligence is not exhausted by informational limits but by a deeper process of coherence formation—the study investigates thresholds where, human cognition transitions from active...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
19ef05a9-c8da-5a32-ba4d-c86ed8dd2d75
DOI
10.21203/rs.3.rs-7338701/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Entropy-to-Coherence Alignment Framework: Exploring Human–AI–Human Interaction for Epistemic Integrity and Ethical Alignment in AGI DevelopmentDOI 10.21203/rs.3.rs-7338701/v1
Select a neighboring publication to make it the new centre.