 Welcome back to the ITU headquarters here in Geneva, the second day of the AI for Good Global Summit. I'm joined now by a senior researcher at Facebook, Mr Fasciste. Hello. Hello. So tell me, why is Facebook here? So, myself and other people from Facebook are here because Facebook has a department, a research department on AI, tackling all sorts of problems. So, we are a key player in this field and that's why when it's about AI for Good, we have to be here to discuss the problems and see how we can contribute. Wouldn't AI for Good in your particular field, what do you mean by that? AI for Good means everything we can do, all the developments of AI that can contribute in making our society better, improving people's life, having a direct positive impact in people's life, it can be in various forms. There are several applications that are being developed by the community in general and at Facebook in particular, ranging from helping visually impaired people, for example, to better serve the internet and find the relevant information to them, or improving people's life through healthcare or natural language processing, for example. So, there are a lot of applications that are being done by the community. But Facebook is a social media website. What's that got to do with healthcare, for example? Healthcare, I just cited healthcare as an application that is of interest to the community in general. But Facebook AI Research, which is the organization that I work for, is interested in all sort of problems, including healthcare problems potentially. So, we're interested in fundamental problems of AI and solving these problems can have ramifications and applications in all different fields, including healthcare. But we're interested in all of the problems pertaining to AI. And what do you want the delegates to come away from after these three days? So, my personal interest in this summit is to discuss and make sure people are aware of certain biases in the community because most of the challenges that are tackled by our community are what I call the white guy problems. So, we are solving problems that are in general specific to male and in general specific to European and North American people. There are a lot of important problems to be solved in the developing world, in Asia, in Africa and elsewhere. And these problems are at least as important as most of the problems that we are solving now. But there is an inherent bias due to the fact that the community is solving problems that are driven by the available data sets. So, it is important that we are aware of these problems and we try to pay more attention to the impact that we can have at a global level. And just to conclude, are they listening? Are they what? Are people listening? It's difficult because we have our habits. So, but I believe most of the people who are here, especially the researchers, are very interested in this question. So, I hope it will get better. Okay. Well, thank you, Mr. Fah. Thank you very much. That's Mr. Fah Sisi, who is a researcher at Facebook, who's here with a small delegation from the social networking site to talk about some of the problems he's referred to, including the white man problem in Europe. Thanks again. Thank you very much.