South Korea AI Basic Act is South Korea’s comprehensive AI regulation establishing transparency, safety, and risk management requirements for high‑impact and generative AI.
The South Korea AI Basic Act is a national law governing the development, deployment, and use of artificial intelligence in South Korea. It establishes a legal framework for trustworthy AI, with specific obligations for high‑impact and generative AI systems. The Act applies to both domestic and foreign organizations whose AI affects the Korean market to support responsible AI innovation.
For organizations building or using AI, the South Korea AI Basic Act sets clear expectations for transparency, human oversight, and lifecycle risk management. It helps leaders align AI initiatives with regulatory requirements while maintaining trust with users and regulators.
From a regulatory perspective, the Act is a cornerstone of South Korea AI regulation. It reflects a risk‑based approach similar to other global AI frameworks, like the EU AI Act, increasing compliance consistency for multinational organizations.
Failing to meet South Korea AI Basic Act requirements can increase enforcement exposure, operational disruption, and reputational risk, particularly for high‑impact or user‑facing AI systems.
OneTrust AI Governance helps organizations operationalize the South Korea AI Basic Act through configurable AI governance workflows, centralized risk assessments, and defensible documentation. Teams can track AI system inventory, evidence compliance, and demonstrate readiness for regulatory review with consistent user experiences.
AI governance provides the policies and frameworks for managing AI systems, while AI accountability ensures those frameworks are followed and outcomes are auditable.
AI accountability is typically shared among data scientists, compliance teams, and leadership. The Chief AI Officer, Chief Data Officer, or Chief Privacy Officer often oversees accountability measures.
The EU AI Act requires documentation, oversight, and risk management processes—core elements of AI accountability—to ensure that high-risk AI systems are transparent, traceable, and compliant.