 So thank you very much and thank you very much for the invitation. Happy to be here again, my fourth time participating in the World Policy Conference and congratulations to Thierry for the 10th anniversary of this great event. And really happy to share the OECD's view on these themes, on artificial intelligence, also digital technology and future of work. They are very high on the OECD's agenda. And Mr. Ahmetzast set the scene in an excellent way. There's not much to be added, but I go a little bit more in details. But just to give you concrete examples of how rapidly the artificial intelligence has penetrated into not only into our homes, but also into the workplaces. When we look at the number of artificial intelligence-related inventions which were patented in the five top IP offices in the last five years, the number of them has nearly doubled in five years. And also when we have a look at the funding of artificial intelligence startups, the number of them was in 2,260 deals and in 2016 there were 658 deals. So in a very short time period, really rapid change. And we all see and can notice that artificial intelligence, it can help make better decisions, detect problems earlier, and also generally reduce costs in a number of areas, fundamental to societal well-being. And let's take once again a concrete example of health. Deep learning algorithms combined with inputs from human pathologists have lowered the error rate for breast cancer detection to 0.5% compared to 3.5% for just pathologists or 7.5% for just machines. So a huge improvement in the breast cancer detection. But then, of course, artificial intelligence also creates challenges and we organized last week a conference at the OECD on artificial intelligence under the title, Intelligent Machines, Smart Policies. And really the theme of the future of work was very high on the agenda in those discussions. So people tend to be very worried about what really will happen at the workplaces and what will be their future of work. But we at the OECD think that these fears could be a little bit exaggerated. And I personally also think that we should be rather optimistic when we think about the future of artificial intelligence and future of work. The humankind has been able to survive the earlier technological and industrial revolution, so I'm sure rather convinced that we are going to be able to survive this in an excellent manner. But to give you some reasons why we believe that kind of these fears could be exaggerated, so first when you see this slide you see that there is a difference between what can technically be automated and what will actually be automated. Social attitudes, they matter in deciding where the use of robots is acceptable and as you can see here in space technology, or it's more acceptable than when it comes to health care. And another reason why we think that maybe these fears are a bit exaggerated is that what will be changed are individual tasks, not entire jobs. So entire jobs won't be to that extent automated, but more the individual tasks. So the change, the nature and content of most jobs rather than resulting in their total automation. And we estimate, you can see, maybe you can see there that there's quite big differences between countries what may estimate that will happen, but on average we estimate that 14% of jobs have a high risk that most of their tasks will be automated. But another 32% of jobs are likely to see profound changes in task composition. And the third reason why we think that maybe we fear a bit too much is that technology destroys jobs, but it also creates new jobs. We all can see around many new jobs of which we couldn't even dream of or think of, one example, bloggers who thought 20 years ago that there will be that kind of a profession, what we see now. But really it is so that governments have to be ready to face this change and we are facing risk of increasing inequality in labour markets and beyond through the changes that digital transformation is bringing to the organisation of work and the way labour markets function. So of course I want to underline that governments have to be awake in order to help people to navigate digital transformation. And here you see the third reason, employment rates have risen in most advanced countries in recent years. So the future of work may not be so bad as some people fear. But then I come to the point, what should be then done by the governments? So first we need to adapt our skill policies. The skills composition of jobs is changing and here you see that in almost all advanced countries we have seen a decline in the proportion of middle-skill jobs and an increase in the proportion of both low-skill and high-skill jobs. But really in order to face this phenomena skills composition is at most important and the governments really have to improve the education system when it comes to the basic or the elementary education. People need a mix of strong cognitive and soft skills to complement their ICT skills. And also we have to have a look at the lifelong learning possibilities for adults. That system has to be improved much I would say in all the countries. And skills policies, the second policy area is active labour market policies. So that workers who lose out in this transition, we can provide them necessary income support, but also means to find a new high-quality job as quickly as possible. So skills, active labour market policies, and third also social security policies which we already heard here. There are many possibilities for that but really because the forms of work are changing really also the social security systems have to change. So thank you very much for this opportunity to share the OECD's view on this.