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HYPOTHESIS AND THEORY article

Front. Comput. Neurosci.
Volume 18 - 2024 | doi: 10.3389/fncom.2024.1395901
This article is part of the Research Topic The Intersection of AI and LLMs in Neuroscience and Human Research View all articles

A functional contextual, observer-centric, quantum mechanical, and neurosymbolic approach to solving the alignment problem of artificial general intelligence: Safe AI through intersecting computational psychological neuroscience and LLM architecture for emergent theory of mind

Provisionally accepted
Darren J. Edwards Darren J. Edwards *
  • Swansea University, Swansea, United Kingdom

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

    Neuro-symbolic natural language processing density clusters, a conscious quantum level defined by QBism, and real-world applied level (human user feedback). It is argued that through this approach, AI could be conscious, form deictic perspective-taking frame abilities, thus forming human-level self-awareness, empathy, and compassion towards others. Crucially, this consciousness hypothesis is directly testable at approximately a 5-sigma significance (with a 1 in 3.5 million that the probability that any AIconscious observations that are identified are due to chance factors) via double-slit intenttype experimentation and visualizing procedures for derived perspective-taking relational frames. This could ultimately lead to a solution to the alignment problem and emergent theory of mind (ToM) within AI.

    Keywords: functional contextualism, Double slit experiment, Consciousness, large language model (LLM), QBism, Hypergraph

    Received: 04 Mar 2024; Accepted: 04 Jul 2024.

    Copyright: © 2024 Edwards. 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: Darren J. Edwards, Swansea University, Swansea, United Kingdom

    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.