Actual: National Strategies of Artificial Intelligence
20 April 2020

Worldwide and in Russia, the development of new technologies and ecosystems remains one of the key factors in economic development. On the one hand, technologies such as artificial intelligence promise to solve important problems of society, but on the other hand, they carry risks such as uncontrolled algorithms, uncontrolled use of data, and potential job cuts. Today, all developed countries are forming national artificial intelligence strategies that will help solve potential problems and ensure the safe and responsible use of technologies that can increase economic potential.

Whether it is possible to develop a long-term global strategy for artificial intelligence, in which areas cooperation between Russia and other countries is possible in the field of these developments was discussed by leading experts and government and business representatives at the in Davos this year. Oksana Tarasenko, Deputy Minister of Economic Development of the Russian Federation, believes that in the conditions of the technological revolution, artificial intelligence can become a driver of deep social and economic changes. "By 2030, economic activity at the global level in connection with AI will Reach $13 trillion. This will provide additional GDP growth of 1.2% per year."

According to Oksana Tarasenko, in 2019, 32 countries recognized the importance of technology for economic development, social relations and security and adopted their strategies. These countries include the United States, China, the Netherlands, France, Japan, and the United Arab Emirates. Russia approved a national strategy in 2019, having previously studied and applied the best international practices.

Butterfield Keiferd, head of artificial intelligence and machine learning at WEF, says that not everyone understands what needs to be created, so a strategic vision of this issue is needed. "We don't have enough data, it's important for us to think about how to develop the economy using AI, because bad data is bad decisions. The same applies to the economy based on artificial intelligence." In many countries, he believes that the lion's share of the economy is generated by SMEs, but at the same time, there is a problem with the quality of such data.

The main directions of artificial intelligence development are understanding of human language, computer vision, and driverless driving. AI should work like a normal human mind and solve a wide range of tasks, while the quality and availability of data are the key to the success of AI projects based on machine learning.

Maxim Eremenko, senior managing Director of Sberbank, notes that Russia is lagging behind in the development of AI technology. However, the goals of all countries are similar – this is the achievement of leadership positions: "the US is trying to get away from China, which is making significant achievements in the development of artificial intelligence. Russia is not very competitive compared to the leading countries. We are not even in the top 10 by some indicators, and we have to solve these problems." According to Eremenko, a national strategy is needed where it is necessary to set the rules of the game for the state, business, and science. "The important factor is how often this document is updated, as technology becomes outdated very quickly, so it is important to always be on top of the trends."

The national strategy of artificial intelligence is a constant development for small, medium and venture business, according to Chong Hoon Cha, Deputy Minister of the Republic of Korea. We have subsidies and vouchers for startups, and we have vouchers for getting big data, because companies often don't know what kind of data they need. And after reaching a certain stage of development, government agencies provide startups with this data in exchange for vouchers." The country has introduced an inclusivity company. "We encourage the giants to support small and medium-sized enterprises by creating an inclusive environment in terms of specialists or providing data. We aim to support 30 thousand enterprises by 2030." However, there is not enough information. For example, Microsoft has a huge amount of data from its consumers that can be used to develop artificial intelligence. But in Korea, for example, and in other countries, today there are no such giant companies.

Joe Chang Jang, a representative of Guangzhou technology, China, said that China plans to create a free data port on Hainan Island, where everyone can share their data. "You can use your algorithms and run your models, and China will provide its big data." According to the speaker, users do not have data about what information machines produce, but it is necessary to think about this: what information both machines and people produce and how it relates. "Everyone thinks that data comes from people, but this is not quite true. Often, we get information from machines, and we think that we don't need to control it…”

The development of international cooperation and implementation of cross-border projects in the field of artificial intelligence, finding a balance between the usefulness of technologies, and the ethical standards of their use remain among the priorities. Security is political and ethical, so countries can only agree when there is a common understanding of the protocol. It is necessary to find a balance on the ethical issues of AI development. It should be emphasized that the Russian national strategy places a great emphasis on ethical issues, which was noted by all participants in the discussion.

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