 Thanks for joining us here in Geneva for the AI for Good Global Summit 2018. I'm delighted to be joined by Mr. Chesa Bli, he's director of ITU's Telecommunication Standardization Bureau, organizers of the summit. Thank you very much. Thank you for joining us today. So to start with, what can you tell us about the priorities of the summit this year? Because the summit is in its second year. Yeah, since we had the first summit last year, we tried to have some more inclusive discussions on this AI subject. But after having all this good success this year, we challenged this action-oriented. So like we expect of this AI summit, we'll drive some of the action-requested project. So that is our goals of this second summit. So you want to find practical solutions for AI systems and solutions. So how do you encourage it at the summit? I know you decided to focus on four main themes, that's satellite, smart cities, we had health as well, and trust obviously, that's a very important aspect. So take us through the organization of the summit and how you encourage collaboration. Yeah, by the name of this AI, it's incorporating too many things, covering too many areas. Actually, AI is difficult to justify what is limited with scope. We could not touch on this older subject areas. So we won't prioritize. That's why one of our conclusions to many set of these programs, the satellite imaginary is good for identified disaster areas or poverty areas. That is a good for us as a good subject and the health domains, smart cities are not important to the subject and trust. So we set up these breakout sessions to identify how we can practically arrange of these AI studies. And also through these four groups, we try to derive some conclusions on how we can move next years. We expect some of our projects to implement quickly. And also they will drive us on some strategic directions of working together with these stakeholders. OK. And the ITU is not just encouraging dialogue amongst others. The ITU itself and the Standardization Bureau, you are trying to use AI on too. Can you tell us about your attempts to incorporate artificial intelligence in what you do? Yeah, AI is actually a heavy impact of this old ICD development. ITU as a UN agency responsible for the ICD development. Most of our subject is now issues is related with AI. So AI impact all the technology development but also our policy and regulatory discussions as well. Definitely including the development project, how we can help of these developing countries to use of these AI machine learning capabilities. All those are important to the subject for us. So from my technical point of view, our group has already our members submit of their contributions to address the AI to use of these smart cities. AI use for the data, AI use for the 5G, something like that. For us, one of the fundamental part should be how to ensure this data. Data is a very important oil food for AI operations. So we are enhancing of this how integrated of this data. So this is one of the important part. And also we are strengthening of this AI to make us a must smart and strengthening of this our network infrastructures. Those are some key subject areas for the time being. And can we expect the ITU to create standards that will address AI use in the future? Yeah, very near future. Even we already have some of our activities as I explained of this AI machine learning to support the 5G. We expect the 5G will come to us as a new infrastructure. The 5G need strong support from our machine learnings. It would be very helpful about smart and very efficient effective operation of our networks. And another group is data processing management group. We'll address how to provide the interoperability between different data sets. That's a very important subject as well. And also smart city groups. They receive how AI machine learning is adopted with the smart city designing and operations. Recently we had certain discussions about AI machine learnings to improve our strengths of our security considerations. That is another part. Definitely we are not neglect of this environment aspect. How we can improve this environment through this AI machine learning adopted is our standard. That is those areas. But other areas also we address like video coding mechanisms. We use these machine learnings to improve our video qualities. So that is many of the areas. But those are new term subject in our standard development. OK, Mr. Lee, it's a very interesting area. So where can we learn more about AI's contribution to networking? Networking is important. Very fundamental part is the 5G development. 5G development is that we had many standards. Those standards is based without consideration of this AI machine learning for the time being. But we are launchable in our focus group to address all this machine learning to apply of these 5G infrastructures. That will be the first part of this how we can improve of these networkings. And also data part, exchange of data is an important part of this improve our networking capabilities. So this group also address of this data, exchange of these data with the seamless operations of these networks. OK, Mr. Lee, thank you very much. Thank you very much. OK. Here? Yeah.