FortyTwoMaru Unveils 5 Public AX Strategies at Global ICT Leadership Forum
TECHWORLD ·
✦ AI Summary
FortyTwoMaru presented a public-sector AX strategy for the agentic AI era at the 12th Global ICT Leadership Forum.
CEO Kim Dong-hwan said AI should be built to fit each country's administrative data and work characteristics, and that processes must be redesigned from the planning stage with AI use in mind.
He proposed 5 policy tasks, including public convergence- and regionally rooted AX, support for small and venture companies, AI for solving social problems, and expanded AI education.
FortyTwoMaru took part in the 12th Global ICT Leadership Forum and presented a public-sector AX strategy tailored to the agentic AI era. The forum was hosted by the Ministry of Science and ICT and organized by the National Information Society Agency (NIA).
The forum was held under the theme, "Global Digital Co-Prosperity Through Practical AX Cooperation Partnerships." More than 100 people, including senior ICT delegations and international development cooperation experts from 9 countries, including Vietnam, Nepal, Laos, the Philippines, Bhutan, Kyrgyzstan, Panama, Uzbekistan, and Egypt, attended.
FortyTwoMaru CEO Kim Dong-hwan delivered a presentation in the session titled "Public-Private Partnership Models for AX Transformation" on the theme of "Public-Sector AX Strategies in the Agentic AI Era." At the forum, FortyTwoMaru introduced measures for AX in the public sector.
CEO Kim said that, apart from securing a general-purpose foundation model, it is necessary to build AI suited to each country's administrative data and operational characteristics. He also said such AI should be linked to work automation and productivity gains.
Kim said it is necessary to go beyond simply adding AI tools to existing work. He said processes must be redesigned from the planning stage with AI use in mind, and explained that an organization's thinking and work methods need to shift to "AI-First." He also said that, based on this, it is necessary to build an "AI-Native" work system.
As an extension of that transformation direction, Kim proposed 5 policy tasks to connect public AX with practical administrative innovation. He said there is a need to promote "public convergence- and regionally rooted AX" that links the central government, local governments, and industrial sites, and he suggested that expanding access to infrastructure and increasing opportunities for demonstration projects are necessary to support the AI transformation of small and venture companies.
He also identified AI use aimed at solving social problems as a key task. He said AI should be prioritized in areas such as closing welfare blind spots and disaster prevention, and added that social consensus and a legal and institutional foundation are needed to support the use of AI.
The need to redesign the education system was emphasized. The discussion on education moved away from focusing too heavily on training developers and instead argued for expanding AI education for the general public. It was also pointed out that AI education for administrative staff should be expanded with an emphasis on practical workplace use.
Kim also said South Korea has already applied public AX in areas such as common government infrastructure, local governments, and defense. He added that, based on South Korea's experience with public convergence- and regionally rooted AX, small and medium-sized company AX, and AI for solving social problems, he hoped the work would expand into collaborative design suited to each country's conditions.
Source: TECHWORLD · Kim Seung-gi
Original: https://www.epnc.co.kr/news/articleView.html?idxno=407591
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Source: TECHWORLD
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