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Artificial Intelligence: Issues, Challenges, Opportunities and Threats

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Creativity in Intelligent Technologies and Data Science (CIT&DS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1083))

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Abstract

The world is experiencing a period of instability in a range of pillar institutions in the international system. These instabilities and unsustainable systems may have serious implications for humanity. Catastrophic physical phenomena are on the rise, lately and many say that this is due to human disrespect to the environment. Urgently valuable and sustainable solutions are needed. One scientific approach to address these challenging questions is Artificial Intelligence (AI). Theories of AI are reviewed. Machine learning (ML), Neural Networks (NN) and Deep Learning (DL) are briefly presented. Certain criticisms of AI and DL are carefully analyzed. A number of challenges and opportunities of AI are identified. The future of AI and potential threats of it are discussed. Artificial Intelligence (AI) and Deep Learning (DL) are relying mainly on data analysis without taking into consideration the human nature. Theories of Fuzzy Cognitive Maps (FCM) seem to provide a useful tool in developing new AI theories answering this problem.

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Author information

Authors and Affiliations

  1. Laboratory for Automation and Robotics, Department of Electrical and Computer Engineering, University of Patras, 26500, Rion, Greece

    Peter P. Groumpos

Authors
  1. Peter P. Groumpos
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Correspondence to Peter P. Groumpos .

Editor information

Editors and Affiliations

  1. CAD & Research Department, Volgograd State Technical University, Volgograd, Russia

    Alla G. Kravets

  2. Electrical and Computer Engineering, University of Patras, Rion, Patras, Greece

    Peter P. Groumpos

  3. Volgograd State Technical University, Volgograd, Russia

    Maxim Shcherbakov

  4. Volgograd State Technical University, Volgograd, Russia

    Marina Kultsova

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Groumpos, P.P. (2019). Artificial Intelligence: Issues, Challenges, Opportunities and Threats. In: Kravets, A., Groumpos, P., Shcherbakov, M., Kultsova, M. (eds) Creativity in Intelligent Technologies and Data Science. CIT&DS 2019. Communications in Computer and Information Science, vol 1083. Springer, Cham. https://doi.org/10.1007/978-3-030-29743-5_2

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  • DOI: https://doi.org/10.1007/978-3-030-29743-5_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29742-8

  • Online ISBN: 978-3-030-29743-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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