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Understanding Artificial Intelligence Through Its Applications and Concerns

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Technological Sustainability and Business Competitive Advantage

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Abstract

It is no secret that artificial intelligence has become incredibly popular in today’s world. However, as different researchers offer different explanations of what artificial intelligence is, the term and its associated concepts remain ambiguous. The literature devoted to explaining artificial intelligence (AI) and its applications was reviewed, focusing on how AI forms are used to understand the basic principles of AI creation and operation and develop a deeper knowledge of the construct. With this purpose in mind, the main AI approaches and AI families and their applications in today’s most developing industries were discussed. The findings show that there is no universal way of describing AI and that AI can best be understood by looking into its applications. It was found that most AI applications deploy the AI machine learning (ML) system, and some applications use deep machine learning and neural network techniques to analyze live and historical information. The findings further show that these neural networks are complex algorithms that require initial human training and supervision to link things together. Nevertheless, they can continuously build up new information from sensors, correlate data, and analyze problems in a hierarchical way that mimics the human brain. Moreover, it was also revealed that the euphoria over AI applications needs to be tempered as they can have unintended negative consequences for businesses and cause individual harm if not implemented with care. Biased AI applications risk compliance and governance breaches and damage to the corporate brand. To mitigate the risks, a growing number of organizations have been working on ethical AI principles and frameworks to ensure responsible AI use.

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Authors and Affiliations

  1. GW University, Washington, DC, USA

    Hussain Abbas Maki

  2. College of Business & Finance, Ahlia University, Manama, Bahrain

    Muneer Al Mubarak

  3. University of Business and Technology, KSA, Jeddah, Saudi Arabia

    Ali Bakir

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  1. Hussain Abbas Maki
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  2. Muneer Al Mubarak
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  3. Ali Bakir
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Correspondence to Muneer Al Mubarak .

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Editors and Affiliations

  1. College of Business & Finance, Ahlia University, Manama, Bahrain

    Muneer Al Mubarak

  2. College of Business & Finance, Ahlia University, Manama, Bahrain

    Allam Hamdan

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Maki, H.A., Al Mubarak, M., Bakir, A. (2023). Understanding Artificial Intelligence Through Its Applications and Concerns. In: Al Mubarak, M., Hamdan, A. (eds) Technological Sustainability and Business Competitive Advantage . Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-031-35525-7_9

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