An AI Learning Hierarchy

A hierarchy of AI machines organized by their learning power shows their limits and the possibility that humans are at risk of machine subjugation well before AI utopia can come.

Authors

Peter J. Denning (ORCID: https://orcid.org/0000-0001-5278-2305)
Ted G. Lewis (ORCID: https://orcid.org/0009-0009-9461-4022)

Institutions

Naval Postgraduate School (US)

Publication Details

Journal: Communications of the ACM
Published: 2024-10-25
DOI: https://doi.org/10.1145/3699525
Citations: 7
Primary Topic: Machine Learning and Data Classification
Type: article
Field-Weighted Citation Impact: 2.43

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article

An AI Learning Hierarchy

Peter J. Denning, Ted G. Lewis

Oct 25, 2024

7 citations

Communications of the ACM

Machine Learning and Data Classification

2.43

article

An AI Learning Hierarchy

Peter J. Denning, Ted G. Lewis

October 25, 2024article en

7 citations

Abstract

A hierarchy of AI machines organized by their learning power shows their limits and the possibility that humans are at risk of machine subjugation well before AI utopia can come.

Communications of the ACMVol. 67(12)

Naval Postgraduate School (US)

Openalex Percentile: Top 9%

Machine Learning and Data Classification

2.43

DOI Open Access PDF OpenAlex

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An AI Learning Hierarchy — Peter J. Denning, Ted G. Lewis · Communications of the ACM (2024) | TGRS Research Map | TGRS