[Edaily Reporter Kim Hyun-ah ] As generative artificial intelligence (AI) rapidly spreads across platform services, the government, platform companies, and global AI firms have begun establishing a self-regulatory framework to ensure the safe and sustainable use of AI.

The aim is to establish a cooperative framework to mitigate risks that platform companies may face—such as changes in AI model pricing policies or service interruptions—and to clarify data processing and accountability structures.

The Ministry of Science and ICT announced on the 22nd that it held a policy roundtable at the Payto Hotel in Seocho-gu, Seoul, attended by platform companies affiliated with the “Platform Self-Regulatory Body,” advisory committee members, and domestic and international AI companies.

The meeting was attended by representatives from major domestic platform companies—including Kakao(035720), Nol Universe, Karrot, Ro&Company, Musinsa, Zigbang, and Korea Credit Data—as well as officials from OpenAI and Anthropic, who discussed key issues arising from the proliferation of generative AI.

Participants noted that while the use of super-large AI models has become essential for ensuring the competitiveness of platform services, a major challenge lies in the difficulty of ensuring transparency in data processing and clarifying accountability during the operation of AI services.

In particular, concerns were raised that unannounced policy changes—such as adjustments to billing policies by global AI providers or the discontinuation of older service versions—could significantly impact the operation of platform services.

In response, platform companies and AI providers agreed to share mid- to long-term roadmaps to enhance service predictability and to continue discussing measures for providing advance notice of major policy changes.

They also exchanged views on ways to enhance interoperability between AI models based on open standards, expand integration with domestic AI providers, establish platform data processing standards, and ensure proper attribution of AI-generated content.

During the meeting, the tasks to be pursued this year by the subcommittees under the Platform Self-Regulatory Body were also announced.

The Data and AI Subcommittee decided to revise the existing “Principles for Enhancing Transparency in Search and Recommendation Services” to align them with the generative AI environment. To enhance the transparency and accountability of AI-powered services, the subcommittee plans to monitor compliance with these principles and, based on the results, publish a “Platform Implementation Case Book” by the end of the year.

The Innovation Sharing and Governance Subcommittee will expand the practical application of the “Platform Company Governance Principles,” which encompass technological reliability, openness to participants, and sustainability. The plan is to share best practices from individual companies and compile a case study collection to disseminate self-regulatory norms throughout the platform ecosystem.

The participating companies stated, “As generative AI services are rapidly spreading, we will establish a system for continuous communication centered on platform self-regulatory bodies and cooperate to develop effective self-regulatory standards.”