South Korea enacted the AI Basic Act in January 2025 — making it one of the first countries in the world to pass comprehensive AI legislation, alongside the EU. The law came into force in stages through 2025 and 2026, and its implications extend beyond South Korea's borders for any organization operating in or deploying AI to Korean markets.
Despite this, it receives a fraction of the practitioner attention the EU AI Act does. That gap is worth closing.
The Core Architecture
The AI Basic Act is a framework law — it establishes principles, institutional structures, and a legal foundation for more detailed regulations to follow. This is a common legislative approach in Asian jurisdictions and differs from the EU AI Act's more prescriptive, directly applicable structure.
The law establishes three foundational principles that all AI development and use must respect:
Safety — AI systems must not pose unreasonable risks to human life, physical safety, or fundamental rights.
Transparency — Individuals must be able to know when AI is affecting decisions or interactions that concern them.
Human control — AI systems must remain subject to meaningful human oversight, particularly for high-impact decisions.
These principles aren't enforceable rights on their own — they're interpretive guides that shape how the more specific obligations in the law and its implementing regulations are applied.
High-Impact AI Systems: The Operative Category
Like the EU AI Act, the Korean AI Basic Act centers its most substantive obligations on a defined category of higher-risk systems. Korea calls these "high-impact AI" — systems that have a significant effect on fundamental rights, safety, or other major interests of individuals.
The Act identifies specific domains where AI is presumed high-impact:
- Employment decisions (hiring, promotion, performance evaluation, termination)
- Education (admission decisions, academic assessment)
- Financial services (credit scoring, insurance underwriting)
- Healthcare (diagnosis, treatment recommendations)
- Legal proceedings (bail, sentencing, judicial support)
- Public services provided by government bodies
Organizations deploying AI in these domains must comply with the high-impact AI obligations, which include:
Pre-deployment impact assessment. Before deploying a high-impact AI system, organizations must assess the potential impact on users and affected third parties. The assessment must cover the system's purpose, the data it uses, the affected population, and the safeguards in place.
Human oversight mechanisms. High-impact AI systems must be designed and operated to allow meaningful human review of AI outputs before consequential decisions are made.
Transparency to affected individuals. Individuals must be informed when an AI system is materially influencing a decision about them — with enough information to understand the basis for the decision.
Incident reporting. When a high-impact AI system causes or nearly causes significant harm, organizations must report the incident to the newly established AI Safety Institute (AISI) of Korea.
The Korea AI Safety Institute
One of the Act's most significant institutional contributions is the establishment of the Korea AI Safety Institute — a dedicated government body with responsibility for AI safety evaluation, standards development, and technical support to other regulators.
KAISI's mandate includes evaluating AI systems for safety before they enter the Korean market, developing technical standards for AI safety and robustness testing, and maintaining an AI incident registry. It's modeled conceptually on similar bodies being established in the EU (the EU AI Office) and the UK (the AI Safety Institute that emerged from the Seoul Summit).
For organizations seeking Korean market access for AI products, KAISI engagement is the operative regulatory interaction — similar in function to EU market surveillance authority engagement under the EU AI Act.
How It Compares to the EU AI Act
Risk architecture. Both laws use a risk-based approach with a defined higher-risk category. Korea's "high-impact AI" and the EU's "high-risk AI" cover overlapping but not identical domain lists — Korea includes judicial proceedings more explicitly; the EU includes biometrics and migration more prominently.
Binding vs. framework. The EU AI Act is more directly prescriptive — organizations know from the Act's text what specific controls are required for high-risk systems. Korea's Basic Act delegates more to implementing regulations, which creates short-term uncertainty but allows faster adaptation as the technology evolves.
Conformity assessment. The EU AI Act requires formal conformity assessments for high-risk systems, with a defined methodology and in some cases third-party audit. Korea's approach is less formalized at the statutory level — the assessment requirement exists, but methodology is developed through KAISI standards rather than statutory specification.
GPAI obligations. The EU AI Act has a distinct regime for general-purpose AI model providers. Korea's Basic Act addresses foundation model developers through the high-impact framework when those models are used in high-impact contexts, but doesn't have a separate GPAI-equivalent regime at the statutory level.
Penalties. The EU AI Act's penalty structure (up to €35M or 7% of global turnover for prohibited practice violations) is more severe than Korea's current framework. Korea's penalties are significant but calibrated to domestic market scale.
What Practitioners Need to Know
For AIGP candidates: South Korea appears in the BoK v2.1's global AI regulatory landscape coverage. The key points to know are the risk-based architecture centered on high-impact AI, the domains classified as high-impact, the Korea AI Safety Institute as the primary regulatory body, and the parallel structure to (but meaningful differences from) the EU approach.
For practitioners with Korean market operations: the high-impact AI obligations are live for the domains listed above. If your organization deploys AI in hiring, credit, healthcare, or other listed domains in Korea, impact assessments and human oversight mechanisms are required — not aspirational.
For compliance leaders building global AI governance programs: the Korea AI Basic Act is further evidence that risk-based, domain-specific AI governance is converging as the global regulatory norm. Organizations that have built EU AI Act compliance infrastructure can largely extend it to Korea rather than rebuilding — the domain overlap is significant and the core control requirements are structurally similar.
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