Early Consequences Regarding the Impact of Artificial Intelligence on International Trade

Authors

  • Sandesh Achar Staff Engineer, Intuit Inc., Mountain View, California, USA

DOI:

https://doi.org/10.18034/ajtp.v6i3.634

Keywords:

Trade policy, International Trade, Artificial Intelligence, Innovations, Data Flows, Imports and Exports

Abstract

The consequences of this new technology for international trade have recently garnered much attention, thanks to the growing interest in AI's effects on the economy and society. Given the current reevaluation of the advantages of globalization by the world's leading nations, the focus continues to be on the policies governing international commerce. Understanding and forecasting future trade patterns is a high priority for decision-making within and between countries. This is because trade significantly impacts employment, production, pricing, and wages. Even though conventional economic models are intended to be accurate forecasters, we investigate the prospect that Artificial Intelligence (AI) techniques can produce more accurate predictions and associations. In addition, we describe contextual AI algorithms that can be used to analyze trade patterns disrupted by unusual occurrences such as trade wars and pandemics. The fuel for the algorithms that can forecast, recommend, and categorize policies can only be provided by open-government data; therefore, having access to these data is vital. The information gathered for this study describes the economic elements usually linked with international trade transactions. Association Rules are used for grouping commodity pairs. Finally, models and their results are presented and then appraised in terms of the quality of their predictions and associations, with example policy implications provided. This paper explores the interlinkages between AI technologies and international trade and outlines key trade policy considerations for policymakers looking to harness AI technologies' full potential. Specifically, the paper focuses on China's efforts to develop its artificial intelligence (AI) industry.

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References

Achar, S. (2015). Requirement of Cloud Analytics and Distributed Cloud Computing: An Initial Overview. International Journal of Reciprocal Symmetry and Physical Sciences, 2, 12–18. https://upright.pub/index.php/ijrsps/article/view/70

Achar, S. (2016). Software as a Service (SaaS) as Cloud Computing: Security and Risk vs. Technological Complexity. Engineering International, 4(2), 79-88. https://doi.org/10.18034/ei.v4i2.633

Achar, S. (2017). Asthma Patients’ Cloud-Based Health Tracking and Monitoring System in Designed Flashpoint. Malaysian Journal of Medical and Biological Research, 4(2), 159-166. https://doi.org/10.18034/mjmbr.v4i2.648

Achar, S. (2018). Security of Accounting Data in Cloud Computing: A Conceptual Review. Asian Accounting and Auditing Advancement, 9(1), 60–72. https://4ajournal.com/article/view/70

Alali, F. A., & Yeh, C. L. (2012). Cloud Computing: Overview and Risk Analysis. Journal of Information Systems, 26(2), 13-33.

Blind, K., Petersen, S. & Riillo, C. (2017). The impact of standards and regulation on innovation in uncertain markets. Research Policy, 46(1), 249-264, https://doi.org/10.1016/j.respol.2016.11.003

Brougham, D., & Haar, J. (2018). Smart technology, artificial intelligence, robotics, and algorithms (STARA): Employees' perceptions of our future workplace. Journal of Management and Organization, 24(2), 239-257. https://doi.org/10.1017/jmo.2016.55

Egger, P. & Lassmann, A. (2012). The language effect in international trade: A meta-analysis. Economics Letters, 116(2), 221-224, https://doi.org/10.1016/j.econlet.2012.02.018

Falat, L., & Pancikova, L. (2015). Quantitative Modelling in Economics with Advanced Artificial Neural Networks. Proceedings of the Business Economics and Management Conference. pp. 194-201.

Feng, L., & Zhang, J. (2014). Application of Artificial Neural Networks in Tendency Forecasting of Economic Growth. Proceedings of Economic Modeling. pp. 76.80.

Fish, K. E. (2006). An artificial intelligence approach to international market screening DSS. Journal of International Technology and Information Management, 15(2), 49-III.

Fish, K., & Ruby, P. (2009). AN ARTIFICIAL INTELLIGENCE FOREIGN MARKET SCREENING METHOD FOR SMALL BUSINESSES. International Journal of Entrepreneurship, 13, 65-81.

Gil, Y., Musen, M., & Shavlik, J. (2002). Report on the first international conference on knowledge capture (K-CAP). AI Magazine, 23(4), 107-108.

Ikram, N. A. H. b. S., & Kepli, M. Y. b. Z. (2018). Establishing Legal Rights and Liabilities for Artificial Intelligence [Mewujudkan Hak-Hak Perundangan Dan Liabiliti Untuk Kepintaran Buatan]. IIUM Law Journal, 26(1), 161.

Kang, H., (2013). The prevention and handling of the missing data. Korean journal of anesthesiology, 64(5), 402-406.

Li, B., Hou, B., & Yu, W. (2017). Applications of artificial intelligence in intelligent manufacturing: a review. Frontiers of Information Technology & Electronic Engineering, 18, 86-96, https://doi.org/10.1631/FITEE.1601885

Nilsson, N. J. (2005). Human-level artificial intelligence? be serious! AI Magazine, 26(4), 68-75.

Olivier, P. (2001). Diagrammatic reasoning: An artificial intelligence perspective. The Artificial Intelligence Review, 15(1-2), 63-78. https://doi.org/10.1023/A:1006669526043

Ontañón, S., Barriga, N. A., Silva, C. R., Moraes, R. O., & Lelis, L. H. S. (2018). The first MicroRTS artificial intelligence competition. AI Magazine, 39(1), 75-83.

Panday, J., & Malcolm, J. (2018). The political economy of data localization. Partecipazione e Conflitto, 11(2), 511-527. https://doi.org/10.1285/i20356609v11i2p511

Sloan, E. (2017). Trends in international security and trade (trade experts’ roundtable, 2017). The School of Public Policy Publications (SPPP), 10. https://doi.org/10.11575/sppp.v10i0.42968

Wang, Y., & Zhuang, Y. (2018). A preliminary thought on the belt and road digital economy. China Economic Transition = Dangdai Zhongguo Jingji Zhuanxing Yanjiu, 1(3), 85-90.

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Published

2019-12-31

How to Cite

Achar, S. (2019). Early Consequences Regarding the Impact of Artificial Intelligence on International Trade. American Journal of Trade and Policy, 6(3), 119–126. https://doi.org/10.18034/ajtp.v6i3.634

Issue

Section

Policy and Practice Reviews