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Artificial Intelligence a Disruptive Innovation in Higher Education Accreditation Programs: Expert Systems and AACSB

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ICT for a Better Life and a Better World

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 30))

Abstract

The world is currently enduring the fourth industrial revolution causing disruption on various economic and societal pillars. For Burrus (Brand Q Mag 27, [7]), such change is coming too fast and organizations that will leverage Artificial intelligence (AI) will profit the most. One of the sectors that will get disrupted by the introduction of AI will be higher education. From this point this conceptual paper propose a model for the implementation of AI through expert systems (ES) within the AACSB accreditation programs. ES are knowledge-based computer program that achieves human expertise in a limited domain (Res J Recent Sci 3(1):116–121, [14]). We tried to answer two main questions, whether AI can be implemented through ES and how such systems can reshape the AACSB accreditation process. We concluded that in fact ES will reshape such process while ensuring more reliable and efficient results and reducing time, cost and errors.

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Author information

Authors and Affiliations

  1. Faculty of Business and Management, Saint Joseph University, Beirut, Lebanon

    Charbel Chedrawi & Pierrette Howayeck

Authors
  1. Charbel Chedrawi
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  2. Pierrette Howayeck
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Corresponding author

Correspondence to Charbel Chedrawi .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Sultan Qaboos University, Muscat, Oman

    Youcef Baghdadi

  2. Business Department, Paris Nanterre University, Nanterre, France

    Antoine Harfouche

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Chedrawi, C., Howayeck, P. (2019). Artificial Intelligence a Disruptive Innovation in Higher Education Accreditation Programs: Expert Systems and AACSB. In: Baghdadi, Y., Harfouche, A. (eds) ICT for a Better Life and a Better World. Lecture Notes in Information Systems and Organisation, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-030-10737-6_8

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