TOKYO, Dec. 15,
2024 /PRNewswire/ -- Representatives from
China and Japan shared their insights on promoting
artificial intelligence (AI) governance and data sharing at a
sub-forum of the 20th Beijing-Tokyo Forum in Tokyo recently.
The sub-forum contributed eastern wisdom to AI governance and
digital social development, demonstrating the significance of
international cooperation for the development of the digital
economy, according to Gao Shaolin, advisor at Peking University's
Legal Artificial Intelligence Research Center.
AI governance framework
The participants agreed that the next 10 years will be a
critical period for the development of AI.
Gao Wen, academician of the Chinese Academy of Engineering
(CAE), said since China's State
Council issued a guideline on developing AI in 2017, the nation has
made significant progress in AI research and development and
industrial layout, especially in computing power and 5G network
construction.
By the end of 2023, China had
over half of the world's 1.57 billion 5G users, according to the
World Internet Development Report 2024. It ranked second globally
in AI and computing power scale, which has laid a solid foundation
for the rapid development of AI.
Tatsuo Yamazaki, project
professor at the International
University of Health and Welfare, said it was very
meaningful for Japan and
China to discuss strengthening AI
governance rules.
Fumihiko Kamio, research director
of the Nomura Research Institute, echoed his view. He emphasized
that the core goal of AI technology is to improve productivity and
eliminate obstacles to social development, and called on Chinese
and Japanese experts to work together to build an AI governance
framework to cope with the global challenges.
Deepening international cooperation
China put forth the Global AI
Governance Initiative in October last year. In July, the UN General
Assembly adopted a China-sponsored
resolution on enhancing international cooperation on AI
capacity-building.
The participants spoke highly of the Global Cross-Border Data
Flow Cooperation Initiative recently proposed by China.
They agreed that AI governance requires global collaboration,
especially in the formulation of international standards and the
construction of ethical frameworks, where China and Japan can play an active role.
Ding Wenhua, academician of the CAE, said China and Japan have both similarities and differences
in technology development and governance priorities, so deepening
cooperation will bring unique value to global AI governance.
"China and Japan should deepen AI technology cooperation
between enterprises, work together in AI security research, talent
exchange, and jointly explore more possibilities for the
application of technology," Wang
Zhongyuan, president of the Beijing Academy of Artificial
Intelligence, said.
Balancing development & risks
AI governance refers to the guardrails established to ensure AI
systems and tools remain safe and ethical and respect human
rights.
Xu Zhilong, editor-in-chief of
Science and Technology Daily, stressed that AI, as a revolutionary
technology, has far-reaching impacts on all areas of society and
economy.
However, its potential risks such as data leakage and the spread
of false information should not be ignored. "Technological progress
and security ethics should be developed in a balanced way to ensure
that AI technology always serves the progress of human
civilization," Xu said.
AI governance should not only heed the current technological
ethics issues, but also prevent possible long-term risks, such as
AI going out of human control, according to Toshio Iwamoto, senior corporate advisor of NTT
DATA. He said AI R&D and application should abide by the
principles of fairness, transparency, safety and availability.
Yuan Yue, chairman of Beijing Dataway Horizon, shared his view
from the perspective of regulatory models. "Policy choices should
be based on the current status and goals of national technological
development," Yuan said, adding that China prefers to provide a more friendly
development environment for enterprises while ensuring an effective
response to risks.
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SOURCE Science and Technology Daily