AI Basic Law: Industry Calls for Delay Amid Regulatory Ambiguities

AI Basic Law Faces Industry Pushback

Concerns have been raised within the AI industry regarding the ambiguous regulatory standards outlined in the AI Basic Law, which could potentially hinder the growth of the sector. Recently, Huang Jeong-a, a member of the Democratic Party of Korea, proposed a bill aimed at postponing the regulations established by the AI Basic Law for three years, citing anticipated challenges ahead of the law’s implementation next year.

Overview of the AI Basic Law

The AI Basic Law, officially known as the Basic Act on the Promotion of Artificial Intelligence and the Establishment of Trust, was passed during the National Assembly plenary session in December of last year. It is set to be fully implemented on January 22 next year, marking South Korea as the first country to implement such legislation globally, following the European Union’s AI Act, which is expected to take effect in August next year.

This law primarily focuses on industrial development and the establishment of trust through risk management. It categorizes AI into two main types: ‘high-impact AI’ and ‘general AI’. High-impact AI is defined as having a significant effect on life, safety, and basic rights, imposing prior notification, verification, and certification obligations on operators.

Proposed Amendments and Industry Concerns

The amendment suggested by Huang allows for the postponement of these regulations until January 2029. Huang noted, “Amid the intensifying global competition for AI supremacy, there are concerns that an immature regulatory policy may cause us to miss the golden time to become an AI powerhouse.”

Industry stakeholders have been vocal about the need for revisions to the ambiguous provisions in the AI Basic Law that do not align with the realities of the domestic AI ecosystem. The Ministry of Science and ICT has initiated the formation of a subsidiary law reform team and is currently drafting an enforcement decree. However, there are growing apprehensions about the feasibility of developing a thorough and effective enforcement decree given the limited time before the law’s implementation.

Key Issues Under Review

Some critical issues surrounding the enforcement decree of the AI Basic Law include:

  1. Definition of high-impact AI
  2. Mandatory watermarking
  3. Government’s investigative authority

One major critique is that the criteria for defining high-impact AI are excessively abstract and broad. The law categorizes AI systems that significantly affect physical security and basic rights or pose risks, primarily in sectors such as energy, healthcare, transportation, and lending. However, what specific AIs fall into this category remains unclear.

The Business Software Alliance (BSA), which includes prominent IT corporations such as Microsoft, OpenAI, and Amazon Web Services (AWS), argued that high-impact AI classification should depend on usage rather than system or industry specifics. For instance, it is challenging to classify AI as ‘high-impact’ if its sole application is generating credit scores, even within the lending sector.

Controversy Over Watermarking Regulations

The regulation mandating the marking of AI-generated content is also contentious. Currently, AI is frequently utilized as a supplementary tool in the production processes of movies, webtoons, and animations, creating background images. The industry argues that attaching watermarks in these instances could compromise content quality and hinder creative endeavors.

Concerns About Privacy and Cybersecurity

Furthermore, there are significant concerns regarding potential personal and sensitive information leaks and cybersecurity threats that may arise during the government’s prior verification and certification process for operators’ high-impact AI-related businesses or products. This underscores the urgency for establishing standards to prevent excessive factual investigations and verifications.

A representative from the startup organization Startup Alliance expressed worries that the insights of industry practitioners may not be adequately represented, as those operating AI models or services and technical experts from the industrial sector are not included in the subsidiary law reform team for the AI Basic Law.

The Need for Ongoing Legislative Adaptation

Choi Byeong-ho, a professor at the Korea University AI Research Institute, emphasized the rapid technological expansion within the AI industry and the significant risk that the law may not keep pace with technological advancements. He advocates for the preparation of subsidiary laws that allow for timely updates to the AI Basic Law in alignment with its objective of fostering industry growth.

The Ministry of Science and ICT remains committed to implementing the AI Basic Law in January as scheduled, after gathering feedback from the industry. The plan is to prepare the final draft of the AI Basic Law by June at the earliest and to announce the enforcement decree containing detailed regulations by July and August. A ministry official stated, “We are preparing an enforcement decree that minimizes regulations while focusing on promotion, gathering as broad as possible industry opinions.”

More Insights

Responsible AI Workflows for Transforming UX Research

The article discusses how AI can transform UX research by improving efficiency and enabling deeper insights, while emphasizing the importance of human oversight to avoid biases and inaccuracies. It...

Revolutionizing Banking with Agentic AI

Agentic AI is transforming the banking sector by automating complex processes, enhancing customer experiences, and ensuring regulatory compliance. However, it also introduces challenges related to...

AI-Driven Compliance: The Future of Scalable Crypto Infrastructure

The explosive growth of the crypto industry has brought about numerous regulatory challenges, making AI-native compliance systems essential for scalability and operational efficiency. These systems...

ASEAN’s Evolving AI Governance Landscape

The Association of Southeast Asian Nations (ASEAN) is making progress toward AI governance through an innovation-friendly approach, but growing AI-related risks highlight the need for more binding...

EU AI Act vs. US AI Action Plan: A Risk Perspective

Dr. Cari Miller discusses the differences between the EU AI Act and the US AI Action Plan, highlighting that the EU framework is much more risk-aware and imposes binding obligations on high-risk AI...

The Hidden Risks of AI Integration in the Workplace

As organizations rush to adopt AI, many are ignoring the critical risks involved, such as compliance and oversight issues. Without proper governance and human management, AI can quickly become a...

Investing in AI Safety: Capitalizing on the Future of Responsible Innovation

The AI safety collaboration imperative is becoming essential as the artificial intelligence revolution reshapes industries and daily life. Investors are encouraged to capitalize on this opportunity by...

AI Innovations in Modern Policing

Law enforcement agencies are increasingly leveraging artificial intelligence to enhance their operations, particularly in predictive policing. The integration of technology offers immense potential...

Kenya’s Pivotal Role in UN’s Groundbreaking AI Governance Agreement

Kenya has achieved a significant diplomatic success by leading the establishment of two landmark institutions for governing artificial intelligence (AI) at the United Nations. The Independent...