Artificial Intelligence: A Clarification of Misconceptions, Myths and Desired Status

Frank Emmert-Streib; Olli Yli-Harja; Matthias Dehmer

doi:10.3389/frai.2020.524339

Artificial Intelligence: A Clarification of Misconceptions, Myths and Desired Status

Frank Emmert-Streib, Olli Yli-Harja, Matthias Dehmer

Research output: Contribution to journal › Review Article › peer-review

1 Citation (Scopus)

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Abstract

The field artificial intelligence (AI) was founded over 65 years ago. Starting with great hopes and ambitious goals the field progressed through various stages of popularity and has recently undergone a revival through the introduction of deep neural networks. Some problems of AI are that, so far, neither the “intelligence” nor the goals of AI are formally defined causing confusion when comparing AI to other fields. In this paper, we present a perspective on the desired and current status of AI in relation to machine learning and statistics and clarify common misconceptions and myths. Our discussion is intended to lift the veil of vagueness surrounding AI to reveal its true countenance.

Original language	English
Article number	524339
Journal	Frontiers in artificial intelligence
Volume	3
DOIs	https://doi.org/10.3389/frai.2020.524339
Publication status	Published - 23 Dec 2020
Publication type	A2 Review article in a scientific journal

Keywords

artificial general intelligence
artificial intelligence
data mining
data science
deep neural networks
machine learning
pattern recognition
statistics

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Publication forum level 1

ASJC Scopus subject areas

Artificial Intelligence

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10.3389/frai.2020.524339Licence: CC BY

frai-03-524339-1Final published version, 684 KBLicence: CC BY

https://urn.fi/URN:NBN:fi:tuni-202111258645Licence: CC BY

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title = "Artificial Intelligence: A Clarification of Misconceptions, Myths and Desired Status",

abstract = "The field artificial intelligence (AI) was founded over 65 years ago. Starting with great hopes and ambitious goals the field progressed through various stages of popularity and has recently undergone a revival through the introduction of deep neural networks. Some problems of AI are that, so far, neither the “intelligence” nor the goals of AI are formally defined causing confusion when comparing AI to other fields. In this paper, we present a perspective on the desired and current status of AI in relation to machine learning and statistics and clarify common misconceptions and myths. Our discussion is intended to lift the veil of vagueness surrounding AI to reveal its true countenance.",

keywords = "artificial general intelligence, artificial intelligence, data mining, data science, deep neural networks, machine learning, pattern recognition, statistics",

author = "Frank Emmert-Streib and Olli Yli-Harja and Matthias Dehmer",

note = "Funding Information: MD thanks the Austrian Science Funds for supporting this work (project P30031). ",

year = "2020",

month = dec,

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doi = "10.3389/frai.2020.524339",

language = "English",

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AU - Emmert-Streib, Frank

AU - Yli-Harja, Olli

AU - Dehmer, Matthias

N1 - Funding Information: MD thanks the Austrian Science Funds for supporting this work (project P30031).

PY - 2020/12/23

Y1 - 2020/12/23

N2 - The field artificial intelligence (AI) was founded over 65 years ago. Starting with great hopes and ambitious goals the field progressed through various stages of popularity and has recently undergone a revival through the introduction of deep neural networks. Some problems of AI are that, so far, neither the “intelligence” nor the goals of AI are formally defined causing confusion when comparing AI to other fields. In this paper, we present a perspective on the desired and current status of AI in relation to machine learning and statistics and clarify common misconceptions and myths. Our discussion is intended to lift the veil of vagueness surrounding AI to reveal its true countenance.

AB - The field artificial intelligence (AI) was founded over 65 years ago. Starting with great hopes and ambitious goals the field progressed through various stages of popularity and has recently undergone a revival through the introduction of deep neural networks. Some problems of AI are that, so far, neither the “intelligence” nor the goals of AI are formally defined causing confusion when comparing AI to other fields. In this paper, we present a perspective on the desired and current status of AI in relation to machine learning and statistics and clarify common misconceptions and myths. Our discussion is intended to lift the veil of vagueness surrounding AI to reveal its true countenance.

KW - artificial general intelligence

KW - artificial intelligence

KW - data mining

KW - data science

KW - deep neural networks

KW - machine learning

KW - pattern recognition

KW - statistics

U2 - 10.3389/frai.2020.524339

DO - 10.3389/frai.2020.524339

M3 - Review Article

AN - SCOPUS:85111350664

VL - 3

M1 - 524339

ER -

Artificial Intelligence: A Clarification of Misconceptions, Myths and Desired Status

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Keywords

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