KT Unveils 'KSAFE-MM', an AI Safety Evaluation Model Specialized for Korean Culture
KT has partnered with Korea University to unveil ‘KSAFE-MM’, a new AI safety evaluation benchmark that precisely reflects the linguistic characteristics and cultural context of Korea. This project was initiated to address issues such as cultural bias and discrepancies with Korean values that arise when global AI models are trained on generalized data. Through this collaboration, both institutions have established a foundation to significantly enhance the reliability of domestic AI technology.
KSAFE-MM focuses on measuring how safely and accurately AI can process the unique sentiments and linguistic nuances of Korean society. Given that existing global AI evaluation models are primarily designed based on Western datasets and have limitations in reflecting Korea’s specific circumstances, this benchmark is expected to be a significant milestone in building a Korean-style AI ecosystem. The core objective is to verify whether AI correctly understands the complex context and social norms of the Korean language.
This development is the result of combining KT’s AI technical expertise with Korea University’s academic research capabilities. Through multifaceted testing, both sides have established a system to determine the harmfulness of content generated by AI models and evaluate whether they adhere to ethical guidelines acceptable within the Korean cultural sphere. Beyond mere technical performance, this serves to help AI provide safer and more familiar services to Korean users.
Amidst the recent proliferation of generative AI and active global discussions on AI ethics and safety, the emergence of KSAFE-MM is expected to serve as an opportunity to strengthen the competitiveness of the Korean AI industry. A safety evaluation model that reflects the cultural context of a specific country is expected to contribute to Korean AI securing differentiated reliability in the global market. It will also serve as an important reference case for AI localization strategies.
Industry experts evaluate this benchmark release as providing a technical foundation that allows domestic AI companies to keep pace with global standards while preserving Korean values. Especially in a market environment dominated by multilingual models, a safety verification tool specialized for the Korean language and culture is highly likely to be used as an essential indicator for both domestic and international companies entering the Korean market or developing Korean-style services.
KT and Korea University plan to continuously upgrade KSAFE-MM to establish it as a standard for AI safety evaluation. Given the rapid pace of technological advancement, the future challenge will be to maintain a flexible evaluation system that can reflect changing social demands and new types of AI risk factors in real-time. This collaboration is expected to be recorded as an exemplary case of academia and industry jointly contemplating and practicing the ethical responsibilities of AI.
In conclusion, the launch of KSAFE-MM is a significant turning point that strengthens Korea’s digital sovereignty and helps AI technology develop while respecting the cultural values of our society. In a situation where global K-Content and Korean digital technology are receiving worldwide attention, creating a safe AI environment that understands Korean sentiment will be a key factor in instilling trust in Korean technology among users around the world.
