Artificial Intelligence for Economic Growth Prediction
Abstract
Abstract: This Systematic Literature Review explores the transformative potential of Artificial Intelligence (AI) in economic growth prediction. Drawing on research from Dimension and Scopus databases, published between 2014 and 2024, the review highlights AI's capacity to process complex datasets, uncover non-linear patterns, and provide dynamic responses to real-time economic changes. AI’s integration into economic forecasting and various industries is shown to enhance productivity, reduce costs, and foster inclusivity. However, the review identifies several challenges, including overfitting, data access, biases, and the need for ethical frameworks, which hinder its full potential. It suggests that AI should complement traditional economic forecasting methods, creating more robust and interpretable models. The review also emphasizes the necessity of a balanced approach that incorporates workforce adaptation, policy interventions, and ethical considerations to address risks such as job displacement and data misuse. This paper calls for further research on optimizing AI applications in economic forecasting while ensuring equitable and sustainable growth.
Abstrak: Penelitian ini mengeksplorasi potensi transformatif Kecerdasan Buatan (AI) dalam prediksi pertumbuhan ekonomi. Dengan mengacu pada penelitian dari basis data Dimension dan Scopus yang diterbitkan antara tahun 2014 dan 2024, ulasan ini menyoroti kemampuan AI dalam memproses dataset kompleks, mengidentifikasi pola non-linear, dan memberikan respons dinamis terhadap perubahan ekonomi real-time. Integrasi AI ke dalam peramalan ekonomi dan berbagai industri terbukti dapat meningkatkan produktivitas, mengurangi biaya, dan mendorong inklusi. Namun, tinjauan ini mengidentifikasi beberapa tantangan, termasuk overfitting, akses data, bias, dan kebutuhan akan kerangka etika, yang menghambat potensi penuhnya. Disarankan agar AI melengkapi metode peramalan ekonomi tradisional, menciptakan model yang lebih tangguh dan dapat diinterpretasikan. Tinjauan ini juga menekankan pentingnya pendekatan yang seimbang yang menggabungkan adaptasi tenaga kerja, intervensi kebijakan, dan pertimbangan etika untuk mengatasi risiko seperti penggantian tenaga kerja dan penyalahgunaan data. Artikel ini menyerukan penelitian lebih lanjut tentang optimalisasi aplikasi AI dalam peramalan ekonomi sambil memastikan pertumbuhan yang adil dan berkelanjutan.
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Altyar, A. E., El-Sayed, A., Abdeen, A., Piscopo, M., Mousa, S. A., Najda, A., & Abdel-Daim, M. M. (2023). Future regenerative medicine developments and their therapeutic applications. In Biomedicine and Pharmacotherapy. https://doi.org/10.1016/j.biopha.2022.114131
Bobro, N. (2024). The impact of artificial intelligence on the global economy. International Research Journal of Economics and Management Studies IRJEMS, 3(2).
Boinapalli, N. R. (2020). Digital Transformation in US Industries: AI as a Catalyst for Sustainable Growth. NEXG AI Review of America, 1(1), 70–84.
Bris, A., Wang, T. Y. H., Zatzick, C. D., Miller, D. J. P., Fern, M. J., Cardinal, L. B., Gregoire, D. A., Shepherd, D. A., Westphal, J. D., Shani, G., Troster, C., Van Quaquebeke, N., Lanaj, K., Hollenbeck, J. R., Ilgen, D. R., Barnes, C. M., Harmon, S. J., Feldman, E. R., DesJardine, M. R., … Sangiorgi, F. (2021). Knights, Raiders, And Targets - The Impact Of The Hostile Takeover - Coffee,Jc, Lowenstein,L, Roseackerman,S. Journal Of Banking & Finance.
Challoumis, C. (2024). Charting The Course-The Impact Of Ai On Global Economic Cycles. XVI International Scientific Conference, 103–127.
Chang, C.-L., McAleer, M., & Wong, W.-K. (2018). Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections. Journal of Risk and Financial Management. https://doi.org/10.3390/jrfm11010015
Chaudhary, S. (2024). Artificial Intelligence and Its Impact on Economic Growth. Shodh Sari-An International Multidisciplinary Journal. https://doi.org/10.59231/sari7676
Chen, Z. (2024). Advancing macroeconomic models through artificial intelligence integration. Proceedings of the 2nd International Conference on Software Engineering and Machine Learning, 0, 43–48. https://doi.org/10.54254/2755-2721/77/20240649
Damasevicius, R. (2023). Artificial intelligence techniques in economic analysis. Economic Analysis Letters, 2(2), 52–59.
Demertzis, K., Demertzis, S., & Iliadis, L. (2023). A Selective Survey Review of Computational Intelligence Applications in the Primary Subdomains of Civil Engineering Specializations. Applied Sciences (Switzerland). https://doi.org/10.3390/app13063380
Engin, Z., & Treleaven, P. (2019). Algorithmic government: Automating public services and supporting civil servants in using data science technologies. The Computer Journal, 62(3), 448–460.
Gupta, A., Rana, A., Rajput, N., & Kumar, B. (2023). Economic Forecasting Through AI: A Comprehensive Review of AI Techniques and Advancements. Proceedings of International Conference on Contemporary Computing and Informatics, IC3I 2023. https://doi.org/10.1109/IC3I59117.2023.10397627
He, Y. (2019). The importance of artificial intelligence to economic growth. Korean Journal of Artificial Intelligence, 7(1), 17–22.
Hijazi, O., Tikito, K., & Ouazzani-Touhami, K. (2023). A systematic review on artificial intelligence models applied to prediction in finance. 2023 IEEE 13th Annual Computing and Communication Workshop and Conference, CCWC 2023. https://doi.org/10.1109/CCWC57344.2023.10099222
Iyelolu, T. V., Agu, E. E., Idemudia, C., & Ijomah, T. I. (2024). Driving SME innovation with AI solutions: overcoming adoption barriers and future growth opportunities. International Journal of Science and Technology Research Archive, 7(1), 36–54.
Jafarnia, A., Hariri, H., & Parvizi, G.-R. (2023). Unlocking the Potential: Exploring the Multifaceted Impact of Artificial Intelligence Integration in Language Learning. Language Education and Technology, 3(2).
Laub, J. A. (1999). Assessing the servant organization; Development of the Organizational Leadership Assessment (OLA) model. Dissertation Abstracts International,. Procedia - Social and Behavioral Sciences.
Liu, X., & Li, C. (2019). An intelligent urban traffic data fusion analysis method based on improved artificial neural network. Journal of Intelligent and Fuzzy Systems. https://doi.org/10.3233/JIFS-179273
Marecki, K., & Czerniawsk, A. W. (2021). DeFi (Decentralized Finance) Will Lead To A Revolution In The World Of Financial Services. Journal of International Scientific Publications.
Sugawara, E., & Nikaido, H. (2021). Auditoría informática, para la evaluación de riesgos en la seguridad de la información en la Cooperativa de Ahorro y Crédito PRODVISIÓN, de la Provincia de Tungurahua, Canton Pelileo. Trabajo de Titulación.
Yan, H., Liu, Y., Jin, L., & Bai, X. (2023). The development，application，and future of LLM similar to ChatGPT. Journal of Image and Graphics. https://doi.org/10.11834/jig.230536
Yan, J. (2022). Smart Financial Real-Time Control System Implementation based on Artificial Intelligence and Data Mining. International Conference on Edge Computing and Applications, ICECAA 2022 - Proceedings. https://doi.org/10.1109/ICECAA55415.2022.9936177
Yoo, K., & Ahn, S. (2024). Research on Improving Ethical Sensitivity for Ethical Decision-Making in Conversational AI.
Zelisko, N., Raiter, N., Markovych, N., Matskiv, H., & Vasylyna, O. (2024). Improving business processes in the agricultural sector considering economic security, digitalization, risks, and artificial intelligence. 31(3), 10–21. https://doi.org/10.32317/2221-1055.2024030.10.
Zhao, J. (2024). Evaluation of industrial intelligence and evaluation of the effect of circular economy development: Inter-provincial data from 2012 to 2022. Advanced Control for Applications: Engineering and Industrial Systems. https://doi.org/10.1002/adc2.182
DOI: https://doi.org/10.31764/jseit.v6i1.35542
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