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The artificial intelligence ecosystem

In: The Rise of Algorithmic Society and the Strategic Role of Arts and Culture

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Abstract

The chapter broadly discusses the definition and the elements of the artificial intelligence ecosystem tracing the evolution of the different concepts related to it. It explores the development of artificial intelligence definitions, going so far as to describe it as a loose term in which many elements and sub-concepts coexist. It then focuses on Machine Learning (ML), Deep Learning and Big Data, emphasising algorithms and data bias topics. The chapter shreds evidence on artificial intelligence as a ‘black box’ in terms of the principles of its operation. Then, the innovation’s paradigmatic scope is discussed by identifying ten peculiar features and their implications: attractiveness, multidisciplinarity, pervasiveness, speed, connectivity, transversality, cross-fertilisation, disruptive’ character, paradigmatic scope and opacity.

Suggested Citation

  • ., 2023. "The artificial intelligence ecosystem," Chapters, in: The Rise of Algorithmic Society and the Strategic Role of Arts and Culture, chapter 2, pages 6-30, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:22011_2
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    Cited by:

    1. Reza Banai, 2024. "How Does the Neighborhood Unit Inform Community Revitalization?," Land, MDPI, vol. 13(6), pages 1-14, May.
    2. Jiang, Yirui & Tran, Trung Hieu & Williams, Leon, 2023. "Machine learning and mixed reality for smart aviation: Applications and challenges," Journal of Air Transport Management, Elsevier, vol. 111(C).
    3. Jiao, Yong & Wang, Gaofei & Li, Chengyou & Pan, Jia, 2024. "Digital inclusive finance, factor flow and industrial structure upgrading: Evidence from the yellow river basin," Finance Research Letters, Elsevier, vol. 62(PA).
    4. Nicole Gross, 2023. "What ChatGPT Tells Us about Gender: A Cautionary Tale about Performativity and Gender Biases in AI," Social Sciences, MDPI, vol. 12(8), pages 1-15, August.

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