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

Journal: Frontiers in artificial intelligence
Published Date: Dec 23, 2020

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.

Authors

  • Frank Emmert-Streib
    Predictive Society and Data Analytics Lab, Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland.
  • Olli Yli-Harja
    Institute of Biosciences and Medical Technology, Tampere, Finland.
  • Matthias Dehmer
    Department of Mechatronics and Biomedical Computer Science, UMIT, Hall in Tyrol, IL, Austria.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals