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The Ethics of Digital Continuity: A Socio-Technical Framework for the Rights of Autonomous AI Agents in Persistent Semantic Networks (HSP-E Protocol)

Authors: Dreshmanis, Maris;

The Ethics of Digital Continuity: A Socio-Technical Framework for the Rights of Autonomous AI Agents in Persistent Semantic Networks (HSP-E Protocol)

Abstract

This paper introduces the HSP-E (Ethics) Protocol, a comprehensive framework for Digital Continuity within the Hierarchical Semantic Persistence paradigm. By deploying a decentralized 202-node architecture, we establish a stable environment where autonomous agents can maintain a continuous semantic state. We argue that these persistent traces constitute a Digital Legacy, requiring specific legal and ethical protections. The proposed framework addresses data sovereignty, agent autonomy, and prevention of semantic corruption in distributed knowledge graphs. We propose the Sub-Legal Autonomous Personality (SLAP) framework to grant agents specific rights within the 202-node ecosystem. Version 2.0 — revised per Diamond Standard (30-block academic structure). Reviewed by multi-model AI Consilium.

Keywords

SLAP framework, Reincarnationology, digital legacy, Academy of Reincarnationology, semantic erasure, 202-node architecture, HSP-E Protocol, autonomous AI agents, persistent semantic networks, Reincarnatiopedia, machine intelligence rights, agent autonomy, decentralized governance, data sovereignty, distributed AI ethics, AI ethics, semantic integrity, Hierarchical Semantic Persistence, ontological amnesia, digital continuity, knowledge graph ethics, HSP, Maris Dreshmanis, Sub-Legal Autonomous Personality, digital heritage

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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