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Serial Comptroller Networks
  • Konstantyn Spasokukotskiy
Konstantyn Spasokukotskiy

Corresponding Author:[email protected]

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Abstract

This paper continues the series of theoretical reports on friendly AI alignment. The alignment is failsafe if operating beyond Artificial General Intelligence threshold, where direct control is not feasible and human safety is threatened. The alignment class is of interest for Artificial Super Intelligence instantiation. This paper presents an information system architecture that can host friendly AI alignment. A sobriquet for the architecture is Serial Comptroller Network (SCN). It implements a human-assisted, uninterpretable approach. The discussion focuses on a minimalistic solution within the framework of the proposed architecture. It mimics a bicameral system, which is a popular scheme in state governance. An assessment for its digital potential, utility, deficiencies and further improvement options is presented.