Responsible AI Technical Report

KT, :, Yunjin Park, Jungwon Yoon, Junhyung Moon +14 more
9/24/2025
cs.CLcs.AI

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Abstract

KT developed a Responsible AI (RAI) assessment methodology and risk mitigation technologies to ensure the safety and reliability of AI services. By analyzing the Basic Act on AI implementation and global AI governance trends, we established a unique approach for regulatory compliance and systematically identify and manage all potential risk factors from AI development to operation. We present a reliable assessment methodology that systematically verifies model safety and robustness based on KT's AI risk taxonomy tailored to the domestic environment. We also provide practical tools for managing and mitigating identified AI risks. With the release of this report, we also release proprietary Guardrail : SafetyGuard that blocks harmful responses from AI models in real-time, supporting the enhancement of safety in the domestic AI development ecosystem. We also believe these research outcomes provide valuable insights for organizations seeking to develop Responsible AI.

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Cite this paper

@article{kt2025responsible,
  title  = {Responsible AI Technical Report},
  author = {KT and : and Yunjin Park and Jungwon Yoon and Junhyung Moon and Myunggyo Oh and Wonhyuk Lee and Sujin Kim Youngchol Kim and Eunmi Kim and Hyoungjun Park and Eunyoung Shin and Wonyoung Lee and Somin Lee and Minwook Ju and Minsung Noh and Dongyoung Jeong and Jeongyeop Kim and Wanjin Park and Soonmin Bae},
  year   = {2025},
  eprint = {2509.20057},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2509.20057v3}
}

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