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

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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 languageEnglish
Article number524339
JournalFrontiers in artificial intelligence
Volume3
DOIs
Publication statusPublished - 23 Dec 2020
Publication typeA2 Review article in a scientific journal

Keywords

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

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Artificial Intelligence

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