AI Technology: Current State and Direction

  • AI is a technology that simulates human intelligence with a computer, and deep learning through transformer architecture has recently led to rapid development.
  • AI development stage: Evolving from cognitive AI(Recognition) → generative AI(Generative) → agent AI(Agentic) → physical AI(Physical)
  • Agent AI has advanced to a stage where goal setting, planning, execution, self-evaluation, and plan modification are possible.
  • Complex tasks can be performed through collaboration between AIs through multimodal AI and multi-agent systems.

Global AI Competition

  • United States: Sees AI as a core technology for reorganizing the future order and promotes the establishment of an AI ecosystem based on liberal democratic values
  • China: Emphasizing an open and inclusive approach and insisting on a UN-centered global AI cooperation system
  • Europe: Focus on human-centered AI and regulatory standardization, enacting the first AI law through the AI Act
  • Korea: Currently ranked 6th in the global AI index and 1st in number of AI patent registrations per 100,000 population

LG AI Research’s Industrial Innovation Cases

  • Exaone: Development of a large-scale Korean-based language model, one of the five leading national AI model companies
  • Application performance by industry:
    • Chemicals: Reduce production costs by tens of billions of won through process optimization
    • Bio: Discovery of new substance with whitening effect and registration of US patent
    • Display: Annual cost savings of 200 billion won by applying AI to design and quality improvement
    • Finance: Develop AI-based ETF product and achieve 40% return

South Korea’s AI Policy Direction

  • Promoting four strategies to become one of the top three AI powers (along with the US and China):
    1. Creating a good environment for doing business with AI
    • Expansion of computing infrastructure such as GPU
    • Establishment of public and private data integration platform
    • Expansion of AI-focused universities to 30 by 2030
    1. Building a society that uses AI wisely
    • Expand AI literacy education
    • Expansion of AI application in welfare and living areas
    • Support for reskilling and upskilling of current employees
    1. Public sector AI innovation
    • Prioritize AI transition for 30 core administrative services
    • Strengthening the use of AI in disaster response
    • Creation of AI-specialized pilot city
    1. Creating a safe and reliable AI foundation
    • Establishment of a national AI governance system
    • Leading role in shaping global AI norms
    • Strengthening international cooperation

Challenges and Opportunities

  • In Korea, which is facing low growth, low birth rate, and a hyper-aging society, AI is a key opportunity to improve productivity.
  • To maintain industrial competitiveness, introducing AI is a necessity, not an option.
  • Amid the US-China AI hegemony competition, there is a need to build a Korean-style AI ecosystem.
  • As AI technology develops, safety, reliability, and ethical aspects need to be considered.

Future Priorities

  • Strengthening the development of unique Korean AI technologies and models
  • Accelerating the convergence of AI with Korea’s strong industries such as manufacturing, healthcare, and finance
  • Expanding support for AI adoption and use by companies and startups
  • Leading global AI governance that ensures AI safety and ethical values