On January 21, 2025, South Korea enacted the Framework Act on the Development of Artificial Intelligence and the Creation of a Foundation for Trust (the "AI Framework Act"), which entered into force in January 2026.
The Act is the first comprehensive legislation in Korea specifically dedicated to artificial intelligence. It represents a significant milestone in the country's effort to become a global leader in AI while ensuring that AI systems remain safe, trustworthy, and aligned with fundamental rights.
For global companies, the Korean AI Framework Act is particularly interesting because it differs from many other AI regulatory initiatives around the world. While the European Union's AI Act is often described as a regulatory framework primarily focused on risk control, the Korean approach seeks to balance innovation promotion and trust-building. The Act combines industrial policy, AI governance, ethical principles, safety measures, and transparency obligations within a single legislative framework.
Understanding this law is increasingly important for companies developing large language models, autonomous vehicles, robotics systems, healthcare AI, financial AI, generative AI services, and other advanced AI technologies.
This article provides a practical overview of the Act and explains its significance from a legal, policy, and business perspective.
The title itself reveals the philosophy behind the legislation.
The Act is not merely a law regulating artificial intelligence. Instead, it has two equally important objectives:
The Korean legislature deliberately avoided framing AI solely as a risk that must be controlled. Instead, lawmakers recognized AI as a strategic technology capable of driving economic growth, improving public services, strengthening national competitiveness, and enhancing quality of life.
At the same time, policymakers acknowledged that AI systems may create significant risks involving safety, discrimination, misinformation, privacy, human rights, and social stability.
Therefore, the Act seeks to create a governance framework where innovation and trust reinforce each other rather than compete against each other.
This philosophy is reflected throughout the legislation.
The Act defines artificial intelligence broadly as the electronic implementation of human intellectual abilities such as:
It further defines an AI system as a system capable of generating predictions, recommendations, decisions, or other outputs that influence physical or virtual environments.
This definition is intentionally technology-neutral.
Rather than regulating specific technologies such as machine learning or large language models, the Act focuses on systems capable of autonomous or semi-autonomous decision-making.
This approach allows the law to remain relevant even as AI technology evolves.
One of the most important provisions for multinational companies is the Act's extraterritorial scope.
The law applies not only to activities conducted inside Korea but also to activities performed outside Korea if they affect:
This means foreign AI developers may fall within the scope of the Act even if they have no physical presence in Korea.
The provision reflects a global regulatory trend similar to the GDPR and the EU AI Act, where digital services can be regulated based on their impact rather than their geographic location.
The most important regulatory concept introduced by the Act is "High-Impact Artificial Intelligence."
Not all AI systems are regulated equally.
Instead, the Act focuses enhanced governance obligations on AI systems that could significantly affect:
Examples include AI systems used in:
The logic behind this approach is straightforward.
A movie recommendation algorithm and an autonomous driving system should not be subject to identical governance requirements.
The greater the potential impact on people, the greater the responsibility placed on developers and deployers.
This risk-based philosophy aligns Korea with emerging international AI governance trends.
Transparency is one of the most visible obligations created by the Act.
Businesses providing high-impact AI or generative AI services must inform users that they are interacting with AI.
The Act also requires labeling of AI-generated content.
For example, when generative AI produces text, images, audio, or video, users should be informed that the content was generated by AI.
Particularly noteworthy is the treatment of realistic synthetic media.
When AI-generated content is difficult to distinguish from reality, providers must clearly disclose that the content is artificially generated.
This provision directly addresses concerns about:
The transparency obligations represent one of the most concrete compliance requirements under the Act.
The Act introduces special safety requirements for powerful AI systems exceeding certain computational thresholds.
Although detailed thresholds are left to future regulations, the law establishes several important principles.
Developers must:
These obligations apply throughout the entire AI lifecycle.
The approach resembles modern safety engineering frameworks rather than traditional legal compliance models.
This is one of the most interesting aspects of the legislation.
The law effectively treats AI safety as an engineering discipline rather than merely a legal issue.
Organizations are expected to continuously evaluate risks as systems evolve.
Providers of high-impact AI must implement additional governance measures.
These include:
Organizations must establish structured processes to identify and manage AI-related risks.
Providers must prepare plans explaining:
Importantly, the law recognizes technical limitations.
Explanations are required only to the extent that they are technically feasible.
Organizations must ensure meaningful human supervision of high-impact AI systems.
This reflects the principle that important decisions affecting individuals should not be entirely beyond human control.
Businesses must maintain records demonstrating compliance with safety and trustworthiness obligations.
These records may become critical during regulatory investigations.
The Act encourages impact assessments for high-impact AI.
Before deployment, companies are expected to evaluate how AI systems may affect fundamental rights.
Potential areas of concern include:
Although impact assessments are framed as an obligation to endeavor rather than a strict mandatory requirement, they are likely to become a key element of AI governance best practices.
The provision reflects growing international consensus that organizations should assess societal impacts before deploying powerful AI systems.
A distinctive feature of the Korean approach is its emphasis on AI ethics.
The Act authorizes the government to establish national AI Ethics Principles.
These principles focus on:
Unlike some jurisdictions that rely heavily on prescriptive regulation, Korea continues to emphasize ethics-based governance alongside legal requirements.
Organizations are encouraged to establish internal AI ethics committees capable of reviewing:
This approach recognizes that many AI-related questions cannot be solved solely through legal compliance.
Ethical governance serves as an additional layer of accountability.
A common misunderstanding is that the AI Framework Act replaces privacy regulation.
It does not.
Korea's Personal Information Protection Act (PIPA) remains fully applicable.
Organizations developing or deploying AI systems must continue to comply with requirements relating to:
The AI Framework Act and PIPA operate in parallel.
In practice, this means AI governance and privacy governance are becoming increasingly interconnected.
Companies should avoid treating them as separate compliance programs.
A major difference between the Korean AI Framework Act and many foreign AI laws is the extent to which it promotes industry development.
The Act contains extensive provisions supporting:
The government is empowered to invest in infrastructure and create programs that accelerate AI adoption across both public and private sectors.
In many respects, the Act resembles a national industrial strategy as much as a regulatory framework.
The Act is particularly relevant for companies developing physical AI systems.
Autonomous vehicles, robots, drones, and intelligent mobility platforms increasingly make decisions that directly affect human safety.
These systems combine:
As a result, they are likely to fall within categories of high-impact AI.
For companies operating in these sectors, compliance will increasingly require collaboration among:
The future of AI governance is likely to be multidisciplinary.
The Korean AI Framework Act is significant not only for Korea but also for the broader international AI governance landscape.
The law demonstrates a model that seeks to avoid two extremes.
On one side is a purely laissez-faire approach that prioritizes innovation without adequate safeguards.
On the other side is a heavily restrictive model that may unintentionally discourage technological development.
Korea's framework attempts to chart a middle path.
It recognizes that trust is not the enemy of innovation.
Rather, trust is a prerequisite for innovation at scale.
Citizens are unlikely to embrace AI systems that they do not trust.
Likewise, businesses cannot successfully deploy transformative AI technologies without demonstrating safety, transparency, accountability, and respect for human rights.
The Korean AI Framework Act marks an important evolution in AI governance.
Its primary contribution is not the creation of a new compliance burden. Its greater significance lies in establishing a national framework that connects technological progress with public trust.
The Act signals a broader transition occurring around the world.
Artificial intelligence is no longer viewed merely as software. It is increasingly understood as critical infrastructure that influences economic activity, public services, transportation, healthcare, education, and social interaction.
As AI systems become more deeply integrated into society, governance mechanisms must evolve accordingly.
The Korean approach emphasizes that innovation and trust should develop together. Transparency, safety, human oversight, accountability, and ethical responsibility are treated not as obstacles to AI development but as essential conditions for its long-term success.
For global AI companies, understanding the Korean AI Framework Act is therefore not merely a matter of legal compliance. It offers valuable insight into how one of the world's most technologically advanced nations envisions the future relationship between artificial intelligence, society, and human rights.