Challenges and stakes of artificial intelligence in economic sciences
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Chiou, E. K., & Lee, J. D. (2023). Trusting automation: Designing for responsivity and resilience. Human factors, 65(1), 137-165.
Chui, M., Manyika, J., & Miremadi, M. (2016). Where machines could replace humans—and where they can’t (yet). McKinsey Quarterly.
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., ... & Wright, R. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges, and implications of generative conversational AI for research, practice, and policy. International Journal of Information Management, 71, 102642.
Giacomini, R., & White, H. (2006). Tests of conditional predictive ability. Econometrica, 74(6), 1545-1578.
Hendershott, T., Jones, C. M., & Menkveld, A. J. (2011). Does Algorithmic Trading Improve Liquidity?. Journal of Finance, 66(1), 1-33.
Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389-399.
Makridakis, S., Spiliotis, E., & Assimakopoulos, V. (2019). The forthcoming artificial intelligence (AI) revolution: Its impact on society and firms. Futures, 111, 26-38.
Matysiak, A., Bellani, D., & Bogusz, H. (2023). Industrial robots and regional fertility in European countries. European Journal of Population, 39(1), 11.
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O'Neil, C. (2016). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Broadway Books.
Stilgoe, J., Owen, R., & Macnaghten, P. (2013). Developing a framework for responsible innovation. Research Policy, 42(9), 1568-1580.
Varian, H. R. (2014). Big data: New tricks for econometrics. Journal of Economic Perspectives, 28(2), 3-28.
Yoo, H. S., Jung, Y. L., & Jun, S. P. (2023). Prediction of SMEs’ R&D performances by machine learning for project selection. Scientific Reports, 13(1), 7598
Brynjolfsson, E., & McAfee, A. (2017). The business of artificial intelligence. Harvard Business Review, 95(1), 237-250.
Chiou, E. K., & Lee, J. D. (2023). Trusting automation: Designing for responsivity and resilience. Human factors, 65(1), 137-165.
Chui, M., Manyika, J., & Miremadi, M. (2016). Where machines could replace humans—and where they can’t (yet). McKinsey Quarterly.
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., ... & Wright, R. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges, and implications of generative conversational AI for research, practice, and policy. International Journal of Information Management, 71, 102642.
Giacomini, R., & White, H. (2006). Tests of conditional predictive ability. Econometrica, 74(6), 1545-1578.
Hendershott, T., Jones, C. M., & Menkveld, A. J. (2011). Does Algorithmic Trading Improve Liquidity?. Journal of Finance, 66(1), 1-33.
Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389-399.
Makridakis, S., Spiliotis, E., & Assimakopoulos, V. (2019). The forthcoming artificial intelligence (AI) revolution: Its impact on society and firms. Futures, 111, 26-38.
Matysiak, A., Bellani, D., & Bogusz, H. (2023). Industrial robots and regional fertility in European countries. European Journal of Population, 39(1), 11.
Nogueiro, T., Saraiva, M., Jorge, F., & Chaleta, E. (2022). The Erasmus+ Programme and Sustainable Development Goals—Contribution of mobility actions in higher education. Sustainability, 14(3), 1628.
O'Neil, C. (2016). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Broadway Books.
Stilgoe, J., Owen, R., & Macnaghten, P. (2013). Developing a framework for responsible innovation. Research Policy, 42(9), 1568-1580.
Varian, H. R. (2014). Big data: New tricks for econometrics. Journal of Economic Perspectives, 28(2), 3-28.
Yoo, H. S., Jung, Y. L., & Jun, S. P. (2023). Prediction of SMEs’ R&D performances by machine learning for project selection. Scientific Reports, 13(1), 7598
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2023-05-30
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Vergara-Romero, A. (2023). Challenges and stakes of artificial intelligence in economic sciences. Amazonia Investiga, 12(64), 7–8. https://doi.org/10.34069/AI/2023.64.04.0
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