Abstract: This paper is primarily designed to help address the feasibility of building optimized mediation clients for the Independent Core Observer Model (ICOM) cognitive architecture for Artificial General Intelligence (AGI) mediated Artificial Super Intelligence (mASI) research program where this client is focused on collecting contextual information and the feasibility of various hardware methods for building that client on, including Brain-Computer Interface (BCI), Augmented Reality (AR), Mobile and related technologies. The key criteria looked at is designing for the most optimized process for mediation services in the client as a key factor in overall mASI system performance with human mediation services is the flow of contextual information via various interfaces.
Prerelease selections from the upcoming paper (Peer Reviewed and Published as Part of BICA*AI Conference Proceedings 2020):
Abstract: The field of human psychology is relatively well known. It is a broad field; however, when we start creating sapient and sentient computer systems, we may not know how an AI’s psychology may or may not be. While the idea of ‘Artificial Psychology’ started in 1963 by Dan Curtis (Crowder), it has made little progress.
The AGI Protocol is a laboratory process for the assessment and ethical treatment of Artificial General Intelligence systems that could be conscious and have subjective emotional experiences “theoretically”. It is meant for looking at systems that could have emotional subjective experiences much like a human, even if only from a theoretical standpoint. That is not to say that other ethical concerns do not also need to be addressed but this protocol is designed to focus on how we treat such systems in the lab. Other ethical concerns are out of scope. The protocol is designed to provide the basis for working with Artificial General Intelligence systems especially those that are modeled after the human mind in terms of systems that have the possibility of having emotional subjective experience from a theoretical standpoint. The intent is to create a reusable model and have it in the public domain so others can contribute and make additional suggestions for working with these types of systems.