The Culture and Arts Division of the Korea Game Society, Myongji College, and OGQ are teaming up to host the 'K-Culture Data Governance Seminar' on January 23rd, from 2:00 PM to 5:00 PM. The event will take place in the conference room on the 11th floor of the Korea Creative Content Agency CKL Business Support Center in Gwanghwamun, focusing on the theme: 'The AI Era: Concepts and Issues in Cultural Data Sharing Systems.'

This seminar examines the critical issue of AI training data through the lens of cultural data. Moving beyond simple data opening, the discussion will cover policy, systems, technology, and ethics, focusing on questions such as what cultural data should be used for AI training, under what criteria and conditions, and who bears the responsibility.

In the first session, Lee Kwon-soo, team leader of the Cultural Big Data Team at the Korea Culture Information Service, will present on building cultural datasets for a 'Korean-style sovereign AI.' He will discuss the necessity of building cultural data for AI training to secure national AI competitiveness, current public cultural data policies, and the institutional and operational challenges to consider during the data construction process.

Following this, Professor Lee Eun-jin from the Department of AI Game Software at Myongji College will present on 'Key Issues in Cultural Data Sharing Discussions: European Cases.' By focusing on the EU’s Data Space and decentralized sharing models, she will introduce the European governance approach, which treats cultural data in the AI era not as a mere 'subject of opening' but as a 'matter of sovereignty and order,' and discuss implications for securing our cultural sovereignty.

In the third session, Shin Chul-ho, CEO of OGQ and DocFriends and adjunct professor at Yonsei University, will address 'AI Ethics and Bias: Criteria and Directions for Cultural Data Governance.' He will examine potential bias and ethical issues in the AI learning process from a cultural data perspective and propose standards and principles for future governance systems.

Finally, in the panel discussion and Q&A, Professor Lee Eun-jin will serve as moderator to discuss how to establish a cultural data sharing system as a policy infrastructure equipped with trust, responsibility, fairness, and sustainability, rather than just simple data opening.

Professor Lee stated, "This seminar is an opportunity to share the perspective that cultural data is not merely a resource for utilization, but a core infrastructure that constitutes AI learning and national cultural competitiveness. I look forward to practical discussions on cultural data and governance models suitable for the AI era."

The event is open to any researchers, practitioners, or policymakers with an interest in cultural data policy, AI ethics, the content industry, or data governance. You can register in advance via OnOffMix.