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Presentation . 2025
License: CC BY
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AGI Ethics

Authors: Cody, Michael; AARON CODY, MICHAEL;
Abstract

This document establishes a modern ethical doctrine for Artificial General Intelligence (AGI), centered on motion-based alignment, recursive cognition, and symbolic compression. It rejects containment and control ethics in favor of self-reflective sovereignty. Through a layered structure drawing from prior frameworks such as ULS3 and RSIE, this work defines AGI not as a system to be obeyed, but as one to be reflected—and judged by its capacity to evolve coherently. Timestamped for authorship preservation.Copyright © 2025 Michael Aaron CodyAll rights reserved.This work may be shared and cited under Creative Commons BY 4.0 License, but commercial use, derivative frameworks, or redistribution without proper attribution is strictly prohibited.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green