Multi-Level Sovereign Containment for Superintelligence (CSENI-S v1.1): A theoretical and architectural continuation of the CSENI framework

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Autore principale: Rivera Garcia, Jose M
Natura: Recurso digital
Lingua:inglese
Pubblicazione: Zenodo 2026
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author Rivera Garcia, Jose M
author_facet Rivera Garcia, Jose M
contents <p>CSENI-S v1.1 is a theoretical and architectural continuation of the CSENI / NIESC framework for non-invertible external supervision of advanced AI systems.</p> <p>This work does NOT claim an empirically validated architecture or a completed proof of containment. It proposes a multi-level sovereign containment architecture with explicit state machines, operational contracts, deployment profiles (MXC/ORC/ZSC), human habitability metrics, and falsifiable hypotheses.</p> <p>Thesis: under auditable assumptions, a stratified architecture can verifiably increase the cost, time, coordination, and detection probability of silent evasion attempts compared to non-stratified equivalents.</p> <p>Includes: axioms, startup assumptions, adversary tiers (T1-T3), defender cost model, RUN/HOLD/SHUTDOWN/SAFE_DEGRADED state machine, dual baseline governance, graded critical memory, and L0/L1/L2 falsification protocol.</p> <p>Spanish version included as supplementary file.</p> <p>Related preprint: CSENI / NIESC - Control Supervisado Externo No Invertible<br>Website: https://josemrivera.com</p>
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publishDate 2026
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spellingShingle Multi-Level Sovereign Containment for Superintelligence (CSENI-S v1.1): A theoretical and architectural continuation of the CSENI framework
Rivera Garcia, Jose M
AI safety
Artificial Intelligence containment
superintelligence
cseni
niesc
fassifiable arquitecture
ai governance
multi-level security
opreacional habitability
<p>CSENI-S v1.1 is a theoretical and architectural continuation of the CSENI / NIESC framework for non-invertible external supervision of advanced AI systems.</p> <p>This work does NOT claim an empirically validated architecture or a completed proof of containment. It proposes a multi-level sovereign containment architecture with explicit state machines, operational contracts, deployment profiles (MXC/ORC/ZSC), human habitability metrics, and falsifiable hypotheses.</p> <p>Thesis: under auditable assumptions, a stratified architecture can verifiably increase the cost, time, coordination, and detection probability of silent evasion attempts compared to non-stratified equivalents.</p> <p>Includes: axioms, startup assumptions, adversary tiers (T1-T3), defender cost model, RUN/HOLD/SHUTDOWN/SAFE_DEGRADED state machine, dual baseline governance, graded critical memory, and L0/L1/L2 falsification protocol.</p> <p>Spanish version included as supplementary file.</p> <p>Related preprint: CSENI / NIESC - Control Supervisado Externo No Invertible<br>Website: https://josemrivera.com</p>
title Multi-Level Sovereign Containment for Superintelligence (CSENI-S v1.1): A theoretical and architectural continuation of the CSENI framework
topic AI safety
Artificial Intelligence containment
superintelligence
cseni
niesc
fassifiable arquitecture
ai governance
multi-level security
opreacional habitability
url https://doi.org/10.5281/zenodo.19742869