Member of the National Assembly Go Dongjin Presents AI Development Strategies
Emphasizes the Need to Utilize Data as the Foundation for AI Development
"Usable If Personal Information Is Excluded"
Goh Dong-jin, a member of the People Power Party, is giving a lecture on AI at the National Assembly Members' Office Building on the 21st. Photo by Baek Jong-min, Tech Specialist
"I bow my head in gratitude to DeepSeek. Thanks to DeepSeek, the Ministry of Economy and Finance has also turned towards investing in large language models (LLM). Now, we must develop domestic artificial intelligence (AI) by utilizing the national data that has been tightly secured."
Go Dong-jin, a member of the People Power Party who has been working to expand government-level semiconductor investments by proposing the Semiconductor Special Act, suggested that the government allow the private sector to utilize the large-scale data owned by the state for the advancement of Korea's AI industry.
Recently, at a study meeting for first-term members of the People Power Party held at the National Assembly Members' Office Building in Yeouido, Go gave a presentation titled "The Present of AI! What Should We Prepare For?" He emphasized data utilization while offering various proposals for the development of Korea's AI industry. He stated that high-quality, high-cost training data should be used by industry and application service.
He argued, "It is the right direction to secure graphics processing units (GPU) for AI development and to select a national representative LLM. Now, we must unlock the enormous public data owned by the state."
AI requires large-scale data during the training process. AI trained with higher quality data can deliver better performance. However, concerns are growing that the pace of AI development may slow down as recent AI companies have been restrained for using data without permission for training. A representative example is The New York Times (NYT), which sued OpenAI and Microsoft (MS) for using its articles without authorization for AI training.
Coincidentally, the government also intends to significantly expand the provision of high-quality public and private data for AI training to address the shortage of AI training data.
Go assessed that companies like Naver and LG have made efforts, and the level of open-source AI has reached a considerable stage, suggesting that with a bit more development, it is possible to catch up with overseas services.
Go emphasized, "AI will certainly determine future decision-making power. New technologies keep emerging, so we are not too late yet."
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