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HYPOTHESIS AND THEORY article

Front. Robot. AI
Sec. Computational Intelligence in Robotics
Volume 11 - 2024 | doi: 10.3389/frobt.2024.1437496

Synthetic Consciousness Architecture

Provisionally accepted
  • Other, Peachtree City, United States

The final, formatted version of the article will be published soon.

    This paper presents a theoretical inquiry into the domain of secure artificial superintelligence (ASI). The paper introduces an architectural pattern tailored to fulfill friendly alignment criteria. Friendly alignment refers to a failsafe artificial intelligence alignment that lacks supervision, while still having a benign effect on humans. The proposed solution is based on a biomimetic approach to emulate functional aspects of biological consciousness. It establishes "morality" that secures alignment in large size systems. The emulated function set is drawn from a cross-section of evolutionary and psychiatric frameworks. Furthermore, the paper assesses the architectural potential, practical utility, and limitations of this approach. Notably, the architectural pattern supports straightforward implementation by activating existing foundation models. The models can be underpinned by simple algorithms. Simplicity does not hinder the production of high derivatives, that contributes to alignment strength. The architectural pattern enables adjustment of alignment strength, enhancing adaptability and usability of the solution in practical applications.

    Keywords: Synthetic sentience, Artificial sentience, AI alignment, friendly alignment, Synthetic Consciousness, Artificial Consciousness, alignment architecture, HDO

    Received: 06 Jun 2024; Accepted: 22 Oct 2024.

    Copyright: © 2024 Spasokukotskiy. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Konstantyn Spasokukotskiy, Other, Peachtree City, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.