 One reason is that digital research is important to secure a successful green transition of society. Research in artificial intelligence, machine learning, digital twin technologies and knowledge representation are generally important, but particularly important in future energy systems for restoring nature and when developing digital solutions for everyone, everywhere. The most important research topics in AI are to make the algorithms both knowledge driven and energy efficient. Well, Europe should really invest in digital technology and AI topics because we see that developments in digital technology and also our transforming society. If we look over the past 20 years, we see that our daily lives have changed tremendously due to all these new techniques. And right now we are not in control of that or only partially in control of that. It's the big American and Japanese and Chinese companies who determine our lives. And I think that the European Union should ensure that we are in charge again of our own lives when it comes to digital technology. And one of the things that I think we should focus on and not just being reactive in trying to say, well, how can we find new applications of this technology, but also think ahead, like where are we in 10 years? What are the future developments in AI? Because I think that is the power of fundamental research that we can look forward, look into the future. What are the needs in 10 years and not just the needs of tomorrow because I think that is where research is powerful in and I think that is what we should aim for. Well, of course, in this period, I mean, AI is really pervasive. So it appears in every aspect of our life, in our lower market in health, in public services, so basically whatever. And the important thing is that this technology can be made human centric. And for doing that, the commission is also pursuing this aspect in destination 6 of cluster 4, where really the human part is central to the technology, instead of being the other way around. So the human that is just using the technology, so it's the technology that shapes on the human part. The ethical guidelines for trustworthy AI are a very important cornerstone for this human centric aspect of the technology. But now, starting from the very high level principles, we need really to ground them and to make them practical, meaning what all these dimensions imply in practical terms when we develop an AI system.