Over the past five years, KBS has moved from pilot projects to various AI productions across the value chain: planning and research on production and services with AI. This talk presents the current state of AI transformation in automation in routine workflows, AI-assisted editing and localization, metadata and search over large archives, accessibility features, and data-driven distribution โ while mapping the next horizon: multimodal foundation models integrated with broadcast operations, real-time personalization at the edge, AI-native formats, and broadcast-network AI services.
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This talk frames benefits – speed, scale, cost elasticity, accessibility, and creative augmentation – against risks such as hallucination, bias, IP and rights, security, labor displacement. It proposes a principled architecture for โtrust by designโ in AI media: governance and policy alignment, model evaluation for newsroom/production use, data pipelines, content provenance, human-in-the-loop controls, and measurable public-value outcomes.
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Finally, it presents a vision for AI media that advances both industry competitiveness and societal trust between broadcast and AI platforms.
Executive Director,
AI broadcast Innovation Division
Korean Broadcasting System (KBS)
#13, Yeouigongwon-ro, Yeongdeungpo-gu, Seoul
E-mail : ysuh@kbs.co.kr
Young-Woo Suh received his B.S. and M.S. degrees from Seoul National University in 1995 and 1997, and his Ph.D. from Yonsei University in 2011. He joined KBS (Korean Broadcasting System) in March 1997 and has worked at the KBS Broadcast Technical Research Institute. His work has focused on the development of broadcast mobile convergence platforms and AI media services based on AI workflow innovation. His research interests include digital signal processing, hybrid broadcastโbroadband architectures, datacasting, and smart/AI media services for broadcasting and communications.
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