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Opportunities and Risks of International Trade in the Era of Artificial Intelligence

2023-05-18

Artificial intelligence technology has rapidly developed in the context of modern digitization, demonstrating astonishing penetration in all aspects of society. The arrival of the artificial intelligence era has driven a new round of development in international trade. Artificial intelligence can provide more efficient and accurate management and services for international trade, promoting the development of cross-border e-commerce, supply chain management, logistics, and financial services. At the same time, international trade has also provided a broader market and demand for the application of artificial intelligence, promoting innovation and development of artificial intelligence technology.

At the same time, in the era of artificial intelligence, international trade also faces some challenges and problems, such as changes in employment opportunities, intensified trade frictions, and intellectual property protection. Corresponding adjustments and regulations need to be made at the policy and legal levels to achieve sustainable development of artificial intelligence and international trade.

The Opportunities of Artificial Intelligence in International Trade

Artificial intelligence is a technology that simulates human intelligence, greatly improving data processing capabilities and providing strong support for big data processing. Therefore, using artificial intelligence technology in international trade can significantly improve efficiency, reduce costs, and promote the continuous development of international trade towards intelligence and digitization.

(1) Improving trade efficiency

Artificial intelligence technology can reduce transaction costs in international trade through intelligent identification, intelligent analysis, and other methods, achieve goods circulation with lower transaction costs, and thus improve international trade efficiency. For example, in international freight transportation, artificial intelligence technology can reduce error rates, improve transportation efficiency, and reduce freight transportation costs through intelligent identification and analysis.

In terms of international trade settlement, artificial intelligence technology can achieve real-time tracking and monitoring of goods flow through big data analysis, improving transaction security. For example, in terms of payment methods in international trade, artificial intelligence technology can combine digital currencies with traditional currencies for settlement through intelligent identification and analysis, thereby reducing transaction risks to a certain extent. Therefore, artificial intelligence technology can not only effectively reduce the transaction costs of international trade, but also improve the efficiency of international trade transactions.

(2) Promote the upgrading of industrial structure

AI technology can integrate information technology, big data, Internet of Things and other new generation information technologies into international trade, and provide efficient and convenient services for enterprises through Digital transformation in international trade. In addition, artificial intelligence can also be applied in various aspects of international trade, improving enterprise work efficiency and product quality through intelligent and automated methods.

At the same time, the application of artificial intelligence technology in international trade also helps to change traditional patterns, provide new opportunities in the constantly changing process of global industrial and supply chains, and enable industrial structure adjustment and upgrading.

To achieve intelligent and Digital transformation in global trade, enterprises need to constantly cultivate their core competitiveness and new business models to meet customer needs, so as to gain more advantages in the fierce market competition.

(3) Promoting Enterprise Transformation

The application of artificial intelligence technology in the field of international trade will fundamentally change traditional trade methods and processes, and promote the development process of international trade. Using intelligent supply chain systems to improve the efficiency and level of supply chain operations, thereby reducing supply chain management costs and risks; By applying artificial intelligence technology to improve production efficiency, seamless connection between product design, procurement, production, sales, and other links can be achieved; By applying artificial intelligence technology to achieve cross-border integration and promote cross industry communication and cooperation. At the same time, it is necessary to adjust the organizational structure and business processes of the enterprise based on the actual situation. For example, optimizing the internal resource allocation of the supply chain system through innovative organizational structure forms, continuously improving the business process system to improve the service level of the enterprise.

Artificial intelligence technology has opened up new avenues for international trade, helping enterprises achieve efficiency improvement and innovative transformation, reduce costs and improve competitiveness, and explore new markets and business opportunities.

The Application of Artificial Intelligence in International Trade

The application of artificial intelligence technology in international trade is becoming increasingly widespread. Based on diverse automation and machine learning technologies, artificial intelligence has brought new models to international trade. Here are some current application scenarios:

(1) Cross border e-commerce

The application of artificial intelligence technology in cross-border e-commerce can improve customer satisfaction and transaction efficiency. For example, intelligent customer service based on natural language processing technology can help customers quickly solve problems and improve their shopping experience; A personalized recommendation algorithm based on machine learning technology can recommend more suitable products to users based on their historical purchase records and interest preferences. The application of these technologies can help enterprises improve customer satisfaction and loyalty, increase market share and brand value.

(2) Supply Chain Management

Artificial intelligence technology can help enterprises optimize and manage their supply chain, improve efficiency, and reduce costs. For example, a supply chain intelligent scheduling system based on big data and predictive analysis technology can achieve functions such as supply and demand matching, inventory optimization, and transportation scheduling, reducing logistics costs and improving supply chain efficiency.

(3) Financial Services

The application of artificial intelligence technology in the field of financial services can improve risk management and customer service levels. For example, a risk assessment model based on machine learning and big data technology can quickly and accurately assess the credit risk of loan applicants; Intelligent customer service and robot consultation based on natural language processing technology can provide customers with more convenient and efficient financial services.

(4) Trade data analysis

Artificial intelligence technology can help enterprises analyze and predict trade data, improve decision-making efficiency and trade competitiveness. For example, a trade data analysis platform based on machine learning and data mining technology can quickly and accurately identify market trends and predict demand, providing strong support for enterprise decision-making.

(5) Intelligent Customs Supervision

Customs can use artificial intelligence technology for risk analysis and intelligent supervision. For example, cargo identification technology based on artificial intelligence can automatically detect information such as cargo type and weight, improving regulatory efficiency and accuracy; Risk assessment technology based on artificial intelligence can conduct risk assessment and classification supervision for import and export enterprises, reducing costs and risks.

The Challenge of Artificial Intelligence in International Trade

Although artificial intelligence has brought many new opportunities to international trade, it is also accompanied by challenges that cannot be ignored. How to reasonably address these difficulties will be the key to the deep integration of artificial intelligence and international trade.

(1) Changes in employment positions

With the development of artificial intelligence, there will be certain changes in the positions in international trade, and these changes will also lead to an increase in employment risks for workers. For example, artificial intelligence technology can replace manual labor in commodity classification, measurement, etc., and can replace workers engaged in simple mechanical work. This not only leads to some workers losing their jobs, but also affects the income they receive from participating in international trade. Due to the fact that the application of artificial intelligence in international trade is still in its developmental stage and the employment risks it brings are not yet clear, effective measures need to be taken to address these risks.

(2) The intensification of trade frictions

The application of artificial intelligence technology in international trade has changed some risks in the process of international trade, and the existing risk control system and system may no longer be applicable. This requires the establishment of new risk control mechanisms and systems. Due to the inherent characteristics of artificial intelligence technology, the factors that lead to international trade risks have also changed. Some countries have different standards and legal requirements for the application of artificial intelligence technology, which may lead to trade barriers and intensified competition in international trade.

(3) Intellectual Property Protection

With the application of artificial intelligence technology, the protection and management of intellectual property rights have become more complex and difficult. Artificial intelligence itself lacks self-awareness and does not own its own intellectual property rights. However, due to the high efficiency and low cost characteristics of artificial intelligence, the cost of infringement has also significantly decreased. Therefore, balancing the needs of intellectual property protection and innovation has become a challenge.

(4) Data security and privacy protection

Artificial intelligence technology requires a large amount of data support and application, which also raises issues of data security and privacy protection. How to ensure the security and privacy of data in cross-border communication has become a challenge. International trade involves numerous subjects and objects, and transaction data is very large. Therefore, the application of artificial intelligence technology in international trade may pose risks to data security and privacy protection. Its main manifestations are: firstly, data leakage. The application of artificial intelligence technology in international trade may lead to the leakage of personal privacy information, posing a threat to the security of personal privacy information, thereby triggering the risk of trade fraud; The second is data abuse. After the application of artificial intelligence technology in international trade, it may generate a larger amount of data, and trade entities may abuse this data information for their own interests; Thirdly, personal rights are compromised. After the application of artificial intelligence technology in international trade, it may weaken individual autonomy and control; Fourthly, national security is threatened. If artificial intelligence technology involves national security issues, there may be national security risks.

In short, the application of artificial intelligence technology in international trade can help countries and enterprises improve competitiveness and efficiency, but it also brings new challenges.

Empowering artificial intelligence for sustainable development

One is to strengthen talent cultivation. Artificial intelligence is a comprehensive science that requires interdisciplinary knowledge and skills. Therefore, it is necessary to strengthen education and training in relevant fields to meet the needs of enterprises and institutions for artificial intelligence technology talents. At the same time, it is necessary to provide opportunities for unemployed individuals to undergo career transformation and improve their skills.

The second is to improve policies and regulations. The government needs to strengthen the regulation and supervision of artificial intelligence technology, establish relevant laws, regulations and standards, ensure the safety and reasonable application of artificial intelligence technology, and ensure the healthy development of artificial intelligence technology and the process of trade liberalization.

The third is to strengthen international cooperation. The application of artificial intelligence technology is a global issue that requires strengthening international cooperation and exchange, promoting technology sharing and cooperation, and promoting sustainable development of the global economy.

The fourth is to strengthen data privacy and intellectual property protection. With the development of artificial intelligence technology, data privacy and intellectual property protection are becoming increasingly important. The government and enterprises need to strengthen relevant protective measures to ensure user data privacy and intellectual property rights, so that the innovation and application of artificial intelligence technology will not infringe on the rights and interests of others.

The fifth is to promote sustainable development. The application of artificial intelligence technology should comply with the principles of sustainable development, pay attention to social responsibility and environmental protection, and promote sustainable development of the global economy. The government and enterprises need to strengthen relevant measures to promote the sustainable development of artificial intelligence technology.


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