Editorial Introduction
DOI:
https://doi.org/10.18559/ebr.2023.2.735Keywords:
big data, Artificial Intelligence, AIAbstract
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References
Boulay du, B., Mitrovic, A., & Yacef, K. (2023). Handbook of artificial intelligence in education. Edward Elgar.
View in Google Scholar
Carayannis, E. G., Grigoroudis, E., Campbell, D. J., Sokratis, K., & Katsikas, S. K. (2023). The Elgar Companion to digital transformation, artificial intelligence and innovation in the economy, society and democracy. Edward Elgar. DOI: https://doi.org/10.4337/9781839109362
View in Google Scholar
Malaney, P. (2023, April 24). Markets and artificial intelligence. Institute for New Economic Thinking.
View in Google Scholar
Marwala, T., & Hurwitz, E. (2017). Artificial intelligence and economic theory: Skynet in the market. Springer Nature. DOI: https://doi.org/10.1007/978-3-319-66104-9
View in Google Scholar
Moloi, T., & Marwala, T. (2020). Artificial intelligence in economics and finance theories. Springer Nature. DOI: https://doi.org/10.1007/978-3-030-42962-1
View in Google Scholar
Petersen, Th. (2020). Diginomics verstehen. UVK Verlag. DOI: https://doi.org/10.36198/9783838553399
View in Google Scholar
Shen, K., Tong, X., Wu, T., & Zhang, F. (2022, June 7). The next frontier for AI in China could add $600 billion to its economy. Report. Quantum Black AI by McKinsey.
View in Google Scholar
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Copyright (c) 2023 Horst Brezinski, Witold Jurek
This work is licensed under a Creative Commons Attribution 4.0 International License.
