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Urban Life and Artificial Intelligence, Machine Learning, Deep Learning, and Ambient Learning in Smart Cities
Abstract
The purpose of this chapter is to explore evolving understandings of artificial intelligence (AI) in smart cities as well as machine learning, deep learning, and ambient learning. A review of the research literature is conducted in the context of smart cities. Issues, controversies, and problems emerging from the literature review are highlighted, contributing to formulation of a conceptual framework for artificial intelligence in urban life and the ambient in smart cities. Using an exploratory case study approach combined with an explanatory correlational design, variables of interest are identified, such as collaborating and creative opportunities, along with assessments of the nature of the relationship. Through the lens of emerging manifestations of artificial intelligence, machine learning, and deep learning, efforts are made to inform understandings of the ambient in smart cities, and more particularly ambient learning, while pointing to directions for future research.
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