 You know, the near-term advances in AR are going to be quite profound, whether it's through intelligent agents or use of robotics, the sort of middle ground between manufacturing and sort of the old-style robots and ones that are quite responsive to the human being. So no matter where you are, whether you're in developing nations or developed nations, everybody's going to be impacted, the impact of, or the proliferation of AI. A lot of it's going to be hidden, whether it's working in the background in terms of making you safer on the Internet or safer in your car or safer when you're shopping or probably more choices or helping with your health care or from a country standpoint helping to manage things like the underdeveloped areas and ensuring that there's proper sort of services that are going to be provided. AI can help in all of that. There isn't an area that it cannot help. So the impact is going to be profound. It's going to be short-term and it's going to actually be faster than what people had originally anticipated. And for that reason, Stanford for example has their 100-year project and they've come up with a report in September of this year. The US White House has come up with two reports on it. The British Standard Institute has come out with information on this. The European Parliament has come up with a document. Almost every sort of major entity out there is now involved with it, including the ITU. The ITU wants to facilitate the discussion. They realize the importance of getting in front of or at least staying pace with all of the major happenings around the world because it does impact everybody, every block of life, every corner of the world is going to be in some way influenced by AI. The social implications of AI are already being felt somewhat today. You know, for example, you have Singapore already have launched a fully autonomous taxis. So what is that going to mean from a labor market? But then it's going to provide opportunities for those taxi drivers to maybe move into other areas. So there's going to be some displacement, but then there's also going to be new job opportunities that are going to open up. So that's just one example. Or you have a situation where you have doctors who are doing a diagnosis and they only have a certain amount of capacity for keeping up with all the trends. Augmenting that with artificial intelligence can make their jobs much more efficient. In fact, their error rate goes on significantly. And then from an underserved population standpoint, again, if you can apply AI to those underserved populations, if you have limited medical resources, of course, it can extend the ability of one doctor to cover many, many more patients or much wider geographic ground, even in areas of mapping things like poverty. One time it requires somebody to manually go out, sometimes under dangerous conditions to rural areas to find this kind of information. Through AI, you can do it through satellite imagery and you can map this kind of information. And then if you can get that kind of information in real time, you can provide resources there. So the application is, again, a very profound widespread and immediate. And people have to be cognizant of this. You know, that's a good question and that it will have an impact, in fact, quite a broad impact on the workforce. From a young people's standpoint, I guess the key is to, you know, put a little bit of priority on things like science, technology, mathematics and so on, you know, the STEM areas. Try to keep up on data, data science, the whole idea of data analysis. Be well read, keep up with the trends. I guess that's the key, you know, especially in the AI space. There's literally announcements that are happening daily, in fact, multiple times a day. Things that used to happen once a week, perhaps once a year, are, it's moving that fast. And, you know, this was forecasted in the Fourth Industrial Revolution, a book by Professor Klaus Schwab at the World Economic Forum. And a paper by UBS by two MIT professors, Ben Joltson and McAfee and someone called the Second Machine Age. You know, a number of different entities have predicted that it's going to have a profound effect. And the young people especially have to be prepared. And you become prepared by staying in education, focusing on education. You know, it's interesting. Regulation, I think, is a hot topic, perhaps standards, is the area that we should maybe focus on a little bit more. But, you know, give the time to settle, collaborate, initially do a lot of open sharing. There is some talk about trying to have some kind of standards in place. And you see early discussions with the bodies, like the IEEE, the British Standards people as well. Even in the White House reports, the two of them just came out recently, they talk about, you know, this idea of standards. Because standards becomes a loss for interoperability. And then now you talk about the ethical issues. Once you put some sort of maybe the foundations of some standards in place, then you can address also the ethical issues to ensure that, you know, it's going to be used in the proper way, but also that you're not going to get some unintended consequences from the use of artificial intelligence. Okay, so let me paint you a picture for you. My name is Steve. This is now 2025 or 2030. I'm in bed in my head through a neural interface. I hear, Steven, it's your Angus Chapot waking you up. You realize you have three appointments today. By the way, your flight's been delayed, so I rearranged it, put you on another flight. You have a dinner appointment. By the way, your dinner appointment says they're going to be 10 minutes late. I've already made those adjustments in your schedule. And as a reminder, your wife has a birthday, so make sure you pick something up. So as I roll out of bed, this will allow her to be sort of, I'd be cognizant of all of these issues. So that's kind of the reality. And you think, wow, that's pretty futuristic. But keep in mind, DARPA is already working on mind-brain interfaces and even a device that can record your memories and then we play them back so in case you forget. And there's sort of contiguous sort of connection to the internet. You know, you have this situation where they're doing studies with the animals where the brains are being interconnected and in fact they can solve problems better interconnected and non-interconnected. There's even some theories of consciousness and trying to figure out what that means. And is this solely a human thing? And perhaps maybe there's even detection of this and insects, some elements of consciousness. So, you know, it's a rapidly evolving area and it's one where I think the changes and ultimately this idea of a singularity is not going to be 50 years out. It'll be within maybe 15 years, maybe 10 years because all of these sort of innovations are happening so quickly. Let me give you one another example. You have Google Mind or Deep Mind coming up with this thing called differential neural compute and it has memory and it learns and, you know, it's almost kind of like a semi-human in a sense. So, and even this dialogues that you're having with these different chat agents, they're becoming so realistic that, for example, in China, when they, Microsoft launched Shio Ice, you had 40 million users using it and some of them were actually, they fell in love with this, this intelligent agent and it's just a machine, right? So, you know, what are the implications? The movie Her is here today and you're going to see increasingly these elements appearing. You know, there is this special summit being held next year by a group called the Financial Services Roundtable and we're going to have a speaking robot there that's going to be at a converse and you're going to be to interact with them and so on. But, you know, kudos to and I will congratulate, you know, the member states and the organizations being facilitated by the ITU to start entertaining some of these areas and saying, you know what, because it's going to impact both developed and developing countries, every region of the world, women, men, children, no matter of your occupational level or income level, it's going to impact everybody. It's good to have some awareness of what the implications are and start becoming educated on it. You know, AI, if it wasn't for something like the ITU providing a platform to facilitate the discussion today and working with other groups, for example, with the XPRIZ, the AI XPRIZ or IBM AI XPRIZ, that's a way to facilitate the discussion and ensuring that these kind of warnings that could occur, don't occur because it's all about education, isn't it? It's all about awareness and ensuring that everybody is up to date and you can put principles in place. So, you know, the European Parliament came up with a draft report to start this discussion. You even see some elements of this in the U.S. White, these papers that came out just recently about starting that discussion to put principles in place or even this partnership on AI for the benefit of people in society, this consortium of, you know, Microsoft, IBM, Google, Facebook and Amazon, it's about putting best practices in to ensuring that these kind of issues don't happen. And so, we're not going into it without preparation and now's the time to do it. So, I think we can manage it. Well, the thing is that you have these 17 sustainable development goals, you know, from poverty to, you know, having global partnerships and every one of them have some kind of interaction and will have either now or shortly with AI. AI is going to augment help, help deliver, help actually achieve all of those goals. AI for social good is really about each one of those 17 sustainable development goals being enabled through machine learning in AI and they will be.