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DOI: 10.14569/IJACSA.2020.0110307
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A Solution to the Hyper Complex, Cross Domain Reality of Artificial Intelligence: The Hierarchy of AI

Author 1: Andrew Kear
Author 2: Sasha L. Folkes

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 3, 2020.

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Abstract: Artificial Intelligence (AI) is an umbrella term used to describe machine-based forms of learning. This can encapsulate anything from Siri, Apple’s smartphone-based assistant, to Tesla’s autonomous vehicles (self-driving cars). At present, there are no set criteria to classify AI. The implications of which include public uncertainty, corporate scepticism, diminished confidence, insufficient funding and limited progress. Current substantial challenges exist with AI such as the use of combinationally large search space, prediction errors against ground truth values, the use of quantum error correction strategies. These are discussed in addition to fundamental data issues across collection, sample error and quality. The concept of cross realms and domains used to inform AI, is considered. Furthermore there is the issue of the confusing range of current AI labels. This paper aims to provide a more consistent form of classification, to be used by institutions and organisations alike, as they endeavour to make AI part of their practice. In turn, this seeks to promote transparency and increase trust. This has been done through primary research, including a panel of data scientists / experts in the field, and through a literature review on existing research. The authors propose a model solution in that of the Hierarchy of AI.

Keywords: Artificial intelligence; classification; ground truth value; Hierarchy of AI; Model of AI

Andrew Kear and Sasha L. Folkes, “A Solution to the Hyper Complex, Cross Domain Reality of Artificial Intelligence: The Hierarchy of AI” International Journal of Advanced Computer Science and Applications(IJACSA), 11(3), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110307

@article{Kear2020,
title = {A Solution to the Hyper Complex, Cross Domain Reality of Artificial Intelligence: The Hierarchy of AI},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110307},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110307},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {3},
author = {Andrew Kear and Sasha L. Folkes}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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