Info-Autopoiesis and the Limits of Artificial General Intelligence

Recent developments, begun by the ascending spiral of the anticipated endless prospects of ChatGPT, promote artificial intelligence (AI) as an indispensable tool and commodity whose time has come. Yet the sinister specter of a technology that has hidden and unmanageable attributes that might be harm...

Full description

Bibliographic Details
Main Author: Jaime F. Cárdenas-García
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Computers
Subjects:
Online Access:https://www.mdpi.com/2073-431X/12/5/102
_version_ 1827741726841765888
author Jaime F. Cárdenas-García
author_facet Jaime F. Cárdenas-García
author_sort Jaime F. Cárdenas-García
collection DOAJ
description Recent developments, begun by the ascending spiral of the anticipated endless prospects of ChatGPT, promote artificial intelligence (AI) as an indispensable tool and commodity whose time has come. Yet the sinister specter of a technology that has hidden and unmanageable attributes that might be harmful to society looms in the background, as well as the likelihood that it will never deliver on the purported promise of artificial general intelligence (AGI). Currently, the prospects for the development of AI and AGI are more a matter of opinion than based on a consistent methodological approach. Thus, there is a need to take a step back to develop a general framework from which to evaluate current AI efforts, which also permits the determination of the limits to its future prospects as AGI. To gain insight into the development of a general framework, a key question needs to be resolved: what is the connection between human intelligence and machine intelligence? This is the question that needs a response because humans are at the center of AI creation and realize that, without an understanding of how we become what we become, we have no chance of finding a solution. This work proposes info-autopoiesis, the self-referential, recursive, and interactive process of self-production of information, as the needed general framework. Info-autopoiesis shows how the key ingredient of information is fundamental to an insightful resolution to this crucial question and allows predictions as to the present and future of AGI.
first_indexed 2024-03-11T03:50:11Z
format Article
id doaj.art-dbc76b7765a9448b975c0f37f134b417
institution Directory Open Access Journal
issn 2073-431X
language English
last_indexed 2024-03-11T03:50:11Z
publishDate 2023-05-01
publisher MDPI AG
record_format Article
series Computers
spelling doaj.art-dbc76b7765a9448b975c0f37f134b4172023-11-18T00:58:26ZengMDPI AGComputers2073-431X2023-05-0112510210.3390/computers12050102Info-Autopoiesis and the Limits of Artificial General IntelligenceJaime F. Cárdenas-García0Department of Mechanical Engineering, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USARecent developments, begun by the ascending spiral of the anticipated endless prospects of ChatGPT, promote artificial intelligence (AI) as an indispensable tool and commodity whose time has come. Yet the sinister specter of a technology that has hidden and unmanageable attributes that might be harmful to society looms in the background, as well as the likelihood that it will never deliver on the purported promise of artificial general intelligence (AGI). Currently, the prospects for the development of AI and AGI are more a matter of opinion than based on a consistent methodological approach. Thus, there is a need to take a step back to develop a general framework from which to evaluate current AI efforts, which also permits the determination of the limits to its future prospects as AGI. To gain insight into the development of a general framework, a key question needs to be resolved: what is the connection between human intelligence and machine intelligence? This is the question that needs a response because humans are at the center of AI creation and realize that, without an understanding of how we become what we become, we have no chance of finding a solution. This work proposes info-autopoiesis, the self-referential, recursive, and interactive process of self-production of information, as the needed general framework. Info-autopoiesis shows how the key ingredient of information is fundamental to an insightful resolution to this crucial question and allows predictions as to the present and future of AGI.https://www.mdpi.com/2073-431X/12/5/102Claude ShannonGregory Batesoncommunicationinformationinfo-autopoiesissemantic
spellingShingle Jaime F. Cárdenas-García
Info-Autopoiesis and the Limits of Artificial General Intelligence
Computers
Claude Shannon
Gregory Bateson
communication
information
info-autopoiesis
semantic
title Info-Autopoiesis and the Limits of Artificial General Intelligence
title_full Info-Autopoiesis and the Limits of Artificial General Intelligence
title_fullStr Info-Autopoiesis and the Limits of Artificial General Intelligence
title_full_unstemmed Info-Autopoiesis and the Limits of Artificial General Intelligence
title_short Info-Autopoiesis and the Limits of Artificial General Intelligence
title_sort info autopoiesis and the limits of artificial general intelligence
topic Claude Shannon
Gregory Bateson
communication
information
info-autopoiesis
semantic
url https://www.mdpi.com/2073-431X/12/5/102
work_keys_str_mv AT jaimefcardenasgarcia infoautopoiesisandthelimitsofartificialgeneralintelligence