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Sungpil Shin is an AI standardization expert with over 10 years of experience at ETRI, specializing in the development global AI standards. He has actively contributed to key standardization bodies, including ITU-T SG13, ISO/IEC JTC 1/SC 42, W3C WebML, and COVESA, focusing on artificial intelligence and its applications in fields such as robotics and autonomous vehicles.
He led the ITU-T standardization works, including Y.3531 (Machine Learning as a Service) and Y.Sup72 (Artificial Intelligence Standardization Roadmap), playing a central role in developing critical AI-related frameworks. He has also contributed as part of the Korean delegation to significant ISO/IEC standards, including ISO/IEC 22989, ISO/IEC 23053, and the ISO/IEC 5259 series. His involvement extends to emerging technologies through contributions to W3C’s Web Neural Network API and COVESA’s VSS specifications.
Currently, Mr Shin is actively engaged in AI safety evaluation projects at KR-AISI, focusing on defining and evaluating risks associated with foundation models. His work centers on risk measurement and safety assessment, viewed through the lens of de-facto standardization to ensure robust and reliable AI systems in global consensus.
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