The future belongs to those who know how to cooperate — Tokayev at AI forum in Shanghai

The future belongs to those who know how to cooperate — Tokayev at AI forum in Shanghai Photo: Akorda press service

Tengrinews.kz — President Kassym-Jomart Tokayev took part in the opening ceremony of the World Artificial Intelligence Conference in Shanghai, dedicated to the theme Global Solidarity in the AI Era.

At the beginning of his speech, the Head of State noted that the conference reflects China’s outstanding achievements in the field of artificial intelligence.

“Today, more than half of the world’s AI researchers are from China. Chinese innovators account for the largest number of patents in the field of AI, while the country’s dynamic innovation ecosystem is moving forward at a breakthrough pace in many areas of advanced technology,” the President said.

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The Head of State supported the concept of AI for Good and for All put forward by the World Artificial Intelligence Conference.

“We believe that the proposed principles should form the basis of our joint efforts to ensure that technological progress serves the common good. I am convinced that the future belongs to those who are able to cooperate closely and build strong partnerships based on mutual trust and shared interests. In this context, the large-scale concept of building a community with a shared future for mankind, proposed by President Xi Jinping, is of exceptional importance. Kazakhstan highly values this forward-looking initiative and believes it is especially relevant in the era of artificial intelligence,” Kassym-Jomart Tokayev emphasized.

Earlier, on May 4, the second meeting of the Council for the Development of Artificial Intelligence was held under the chairmanship of Kassym-Jomart Tokayev. The President proposed considering issues related to introducing artificial intelligence into industry. Addressing the meeting participants at the time, he stressed that at the current stage, the strategic importance of artificial intelligence is determined not by the scale of models, but by their ability to be effectively integrated into the real sector of the economy.

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