The term Artificial Intelligence (AI) has been used frequently in the media and in advertisements in recent years. Yet, few can offer a clear and concise definition of the term “AI.” This lack of a definition complicates the communication and understanding among entities that focus on the collaboration, use, and application of AI. Further complicating the landscape is the fact that advances in technology have altered the perception of AI, and consequently, the ways in which they are defined. The goal of this paper is to derive a definition that capture the current collective scientific, rather than the societal or media-based definition of the discipline (and its subcategories), map this definition to emerging areas in AI such as AIoT, and determine how well this mapping translates to an applied curriculum at the highest ranked schools. Specifically, are we adequately defining AI within the confines of how it is currently applied, and how we aspire to apply it? Are college degree programs preparing students to make contributions to this field, in terms of the application and advancement of AI?
CITATION STYLE
Stewart, J. C., Davis, G. A., & Igoche, D. A. (2020). AI, IoT, AND AIoT: DEFINITIONS AND IMPACTS ON THE ARTIFICIAL INTELLIGENCE CURRICULUM. Issues in Information Systems, 21(4), 135–142. https://doi.org/10.48009/4_iis_2020_135-142
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