Artificial Intelligence in South Korea

High-risk AI in South Korea

The AI Act outlines several key obligations for AI business operators who aim to provide high-impact AI systems or products or services utilising such technology.

  • High-Impact AI Definition: "High-Impact AI" systems are those that significantly influence or pose risks to the safety and fundamental rights of individuals. These are typically employed in critical decision-making or assessments with substantial impact on someone’s rights and responsibilities. Examples include applications in medical device development, recruitment processes, loan assessments, and educational evaluations (Article 2, Item 4).
  • Preliminary Review Obligation: AI business operators must assess whether their AI technology qualifies as high-impact before deployment. They may seek confirmation from the Minister of MSIT if there is uncertainty regarding the classification of their AI system (Article 33). Non-compliance may result in an administrative fine of up to KRW 30 million (Article 43, Paragraph (1), Item 1).
  • Advance Notification Obligation: AI business operators intending to deploy products or services using high-impact AI are obligated to inform users in advance (Article 31, Paragraph (1)). Non-compliance may result in an administrative fine of up to KRW 30 million (Article 43, Paragraph (1), Item 1).
  • Safety and Reliability Measures: A comprehensive framework of safety and reliability measures must be implemented by operators offering high-impact AI systems to ensure these systems operate as intended without undue risk (Article 34).
  • Impact Assessment Obligation: AI business operators are expected to proactively assess the potential impact of their high-impact AI on individuals’ fundamental rights. Public institutions, including national and local government entities, must prioritize AI solutions that have undergone such assessments (Article 35).
  • Right to Explanation: Individuals affected by AI systems including high-impact AI have the right to request clear explanations of the logic and principles behind AI-generated outcomes, to the extent that this is technically and reasonably feasible (Article 3, Paragraph (2)).

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