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...
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Format: | Article |
Language: | English |
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MDPI AG
2023-05-01
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Series: | Computers |
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Online Access: | https://www.mdpi.com/2073-431X/12/5/102 |
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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 |