Stony Brook University Computer Science

Professor Yoon Seok Yang from the Computer Science Department was a featured speaker at the Korea Times Forum: Survival and Growth Strategies in the AI Era, which took place on Wednesday, October 18th, at the Korea Chamber of Commerce and Industry building in Seoul. Professor Yang took part in the initial panel discussion, which focused on the transformative influence of AI technology on human society and addressed the ethical concerns accompanying its advancement. Along with Professor Yang, Uhm Yul, Director General of the Artificial Intelligence Policy Bureau at the Ministry of Science and ICT, Chang Joong-ho, a professor at Seoul School of Integrated Sciences & Technologies (aSSIST), and Kim Myoung-shin, Principal Policy Officer at LG AI Research were also esteemed participants of the discussion panel. 

Professor Yang highlighted: “I have worked in Silicon Valley for over ten years, and I was part of the AlphaGo developing team, and all developers say that the AI developing trend is so fast that even they don’t know how and when AI will become the dominant force in the future world. 

AI innovation holds significant potential across diverse industries. Specifically, it plays a pivotal role in the medical industry, aiding the development of new drugs and medical treatments; contributes to risk assessment and investment analysis within the financial industry; and its language model technologies reshapes operations within the business sector. These advancements all influence our present way of life.  

When considering the ethical factors, we cannot stop the growth in technological advancement; rather we need to focus on minimizing side effects through regulations. Emphasizing the risk factors is crucial when developing new technologies, and simultaneously, safeguarding personal information must be a paramount concern."

Professor Yoon Seok Yang is an assistant professor in the Computer Science department at SUNY Korea, Stony Brook University. Professor Yang completed his Ph.D. in Electrical and Computer Engineering from Texas A&M University. Prior to his academic role, he contributed as a research scientist at the Neuromorphic Computing Lab at Intel Labs in California, and worked in Google as a silicon and research engineer in the Tensor Processing Unit. 

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