On January 22, 2026, the "Act on the Promotion of the Artificial Intelligence Industry and the Establishment of a Trust Foundation," also known as the AI Framework Act, came into effect in Korea. If you are a marketer who actively uses AI tools, you likely checked at least once ahead of the law's implementation, asking questions such as, "How should I create images now?" and "Will the tools we use also be subject to regulation?"
However, now that a month has passed, it is difficult to feel significant changes as much as expected. This may be because we are utilizing AI services with relatively low impact, such as content creation or marketing automation. If so, is the Framework Act on AI really irrelevant to our practical work?
That is not the case. As the AI Framework Act has only just taken its first step, it is necessary to maintain a proactive attitude of continuously monitoring and preparing for any changes that may occur from now on. Today, I have summarized, from a B2B marketer's perspective, what has changed in the practical work of B2B marketers since the implementation of the AI Framework Act and what points to pay attention to going forward.
AI Framework Act, Surprisingly Quiet on the Ground
The main reason for the lack of significant change since the implementation of the Framework Act on AI the one-year grace periodand regulations focused on 'high-impact artificial intelligence .' Currently, the government is concentrating on establishing the system and raising awareness rather than imposing full-scale regulations or crackdowns, in order to allow companies to adapt to and prepare for the new law.
During the grace period, even if violations are discovered, recommendations for correction and opportunities for improvement will be provided first, rather than immediate punishment. This measure is intended to help companies understand the intent of the AI Framework Act and secure time to streamline their internal processes.
However, preparation is necessary for high-impact AI services.
A key aspect of the law to examine the regulation of 'high-impact artificial intelligence.' High-impact artificial intelligence refers to AI services that can have a significant impact on the lives, physical safety, fundamental rights, and security of citizens. The following fields may fall under this category:
- Medical Field: AI-based Diagnosis and Treatment Recommendation System
- Transportation Sector: Autonomous Vehicles, Traffic Control Systems
- Recruitment Field: AI-based Applicant Evaluation and Selection System
- Finance Sector: Loan Screening, Credit Rating Algorithms
- Education Sector: Learner Assessment and Career Recommendation System
Companies operating such services conduct a risk assessment before launching the service andtake continuous measures to ensure reliability during operation.
Is our company's AI service high-impact artificial intelligence?
If you are unsure whether your company's AI service qualifies as high-impact artificial intelligence, you can request official confirmation from the Ministry of Science and ICT. 'Request for Confirmation of High-Impact Artificial Intelligence' aisafety@korea.krsubmitting it to, you can receive a clear response following an expert review.
In particular, if SaaS platforms or data analysis tools developed by B2B companies directly influence a client's decision-making, it is advisable to verify them in advance. Although we are currently in a grace period, being unprepared when regulations are fully implemented in the future could pose a significant risk.
📌 Request for Verification of High-Impact Artificial Intelligence provided by the Ministry of Science and ICT.doc (Word file)
Since this document was provided by an institution, it is a Hangul file. I have converted it to a Word file, so please click the text above to view it comfortably! 🙂
Things B2B marketers should implement right now,
even if not high-impact AI services
You must label products that can be confused with reality, such as deepfakes.
Even if it is not a high-impact AI service, there is something marketers need to do immediately. That is the obligation to disclose content created by generative AI, especially deepfake products.
Deepfake refers to content that uses AI technology to synthesize or manipulate the face or voice of a real person. The Framework Act on AI requires that when such content is likely to be mistaken for a real person or photograph, it must be clearly indicated that it was created using generative AI. In marketing, if an AI-generated image appears like a real photograph, it may be indicated in the following ways:
- This image was created using generative AI
- AI-generated image
- Insert AI generation indicator icon
You can find a detailed guide on Generative AI transparency at the Framework Act on Artificial Intelligence Support Desk
Elifunt spells it like this.
At Elifunt, when using AI images as stock images, we also make sure to leave comments if there is a possibility of confusion with actual photos. For example,
- When using AI-generated person images for blog thumbnails, indicate “AI-generated image” at the bottom of the image
- When using AI-generated backgrounds in social media content, specify the use of AI in the caption
I wish I could plan content this joyfully every day. (AI-generated image)
I believe that AI-generated disclosures are just as important a starting point for maintaining trust with customers as complying with regulations. Especially in B2B marketing, where trust is synonymous with brand value, I consider ensuring transparency to be essential.
One-Year Grace Period for the AI Framework Act: What Can Marketers Do During This?
1. Monitoring Official Support Channels for the Framework Act on Artificial Intelligence
It is recommended to regularly visit the 'Artificial Intelligence Framework Act Support Desk' operated by the Ministry of Science and ICT to check the latest guidelines and FAQs. It is reported that over 170 inquiries were received within just ten days of its opening. This platform provides the following information.
- Latest announcements regarding the AI Framework Act
- Guidelines for AI Utilization by Sector
- Frequently Asked Questions and Answers
- Guide to High-Impact Artificial Intelligence Verification Procedures
One interesting point is that the website itself appears to have been developed using AI. It is just a guess, but it has a structure quite similar to the UX/UI presented by the VIBE Coding service. This shows that AI technology is also being utilized as a tool to assist with legal compliance.
2. Exploring Response Cases from Other Companies
It is also important to grasp overall industry trends by searching for blog content or publicly available materials from other companies responding to the AI Framework Act. In particular, you can gather information through the following channels. We are also sharing the key articles our team has been exploring and reviewing so far.
- Articles on AI regulation from credible media
- Examples of IT companies disclosing AI ethics guidelines
- Examples shared at conferences or seminars
3. Establishment of Internal Guidelines
When using AI tools, it is necessary to clearly establish internal team principles regarding the criteria for content creation and attribution. Try creating guidelines that include the following items.
- Scope of AI Usage: For which tasks can AI be used, and for which tasks must be performed manually by humans?
- Notation Standards: How to Label AI-Generated Content?
- Inspection Process: How to Review and Approve AI-Generated Results?
- Data Security: What data can be input into AI tools, and what data needs to be protected?
4. Enhancing Team Awareness
It is also important to share the purpose and key contents of the AI Framework Act with team members and to create a culture of using AI responsibly. Try covering the following topics through regular study sessions.
- Key Contents of the AI Framework Act and Its Impact on Our Team
- Ethical Considerations When Using Generative AI
- Copyright and Liability of AI-Generated Content
Rather than sitting idly by simply because there are no immediate major changes, we need the foresight to utilize the grace period to identify what preparations our company needs to make and to examine how other companies are responding. This is because when full-scale regulations begin in a year, the gap between prepared companies and those that are not will widen even further.
Elifunt will continue to monitor trends related to the Framework Act on AI and deliver essential insights to B2B marketers. From evolving AI policies to marketing trends, if you want to focus more on business growth amidst a complex marketing environment, please keep an eye on Elifunt's website. 🙂
