Paul Lukowicz, German Research Center for Artificial Intelligence

Paul Lukowicz, German Research Center for Artificial Intelligence

We have reached a stage where AI is a technology that impacts virtually every section of our lives. It controls things it tells us how to do things and what to do things. I think a lot of us realised now that we really need to make sure that the technology helps us and empowers us people and doesn’t enslave us and deprive us of our autonomy and our ability to think and essentially Humane AI is a project that tries to solve the fundamental scientific questions behind that and that’s really important. Because you cannot just pedigree decide that AI has to be good for humans, you have to solve the technology that is needed to actually make AI such.

My blue sky project would be developing blue sky technology that could at a certain stage interact with humans in a social context in such a way that people would accept it as an equal and helpful partner.

Viviana Gropengiesser, German Entrepreneurship GmbH

Viviana Gropengiesser, German Entrepreneurship GmbH

I think an important part of what we are trying to do at the Humane AI project is that we need to bring together all different kinds of entities to understand a lot of different aspects of a very complex topic and increase the involvement of very different players and stakeholders in the field, to create something that the entire society and the industry, economy and science can actually support and stand behind

If I had unlimited resources my dream would be to really able to educate on all levels what opportunities we have and what is happening and bring people together to create something that everyone participated in or can participate in the future and change the future to something we all want to live in.

Albrecht Schmidt, LMU Munich

Albrecht Schmidt, LMU Munich

For me the Humane AI project is really bringing together people from interaction, artificial intelligence, machine learning, machine vision, human computer interaction to in order to really create something new. How can we use artificial intelligence for the human, how can we make it humane, how can we create new things that take artificial intelligence and that are valuable for humans?

It’s really exiting form me to be in the field, and one of the things we are working on is how to amplify human ability, how to amplify the human mind and perception through artificial intelligence technologies. How do we closely integrate our abilities as humans to perceive, think and create with the technology and use AI as a tool to make us smarter, to perform things we couldn’t do before.

Helena Lindgren, Umeå University

Helena Lindgren, Umeå University

Humane AI is extending AI as technology to produce intelligent systems also to apply it to situations where people live in work. It has to do with people, environments and where we interact and work with AI in society.

For Europe, for people, for society it would be along with what interests me, cognitive tools for individuals is a system that can help individuals cope with everyday  living and working, managing stress and everyday conflicts and interests in your daily life.

Fosca Giannotti, Research ISTI-CNR

Fosca Giannotti, Research ISTI-CNR

AI has transformed and will transform even more society and the way people live. The way we buy, the way we do social relationship over the Internet, everything is very much now mediated by smart technology that learns from the usage of other customers how to make you more reactive in terms of likes and business. This kind of technology that facilitates our lives in a sense, is also creating bubbles. Its forcing us, to talk to people that are too similar to us, buying things that are very close to us. It’s changing society. And sometimes the way these changes happen is that the way the algorithms are learning and the data that we leave on the Internet. The large success of current AI is mostly because of the enormous availability of data, which are traces very often left by humans.  Data contains all the issues that society has, including the bad parts. Our algorithms might learn by data that contains bias. Sometimes those bias turn out to be discriminations on vulnerable people or learn language that might not be politically correct. We need an AI which is helping society also growing in terms of education and civil interactions.

My bluesky project is very much related to my bigdata vision of AI. It’s about having an AI and machine learning methods that always offers a human understandable explanation of the decisions they suggest, by taking the human in the loop and express such explanation in language that different kind of users may have depending by their context.

John Shawe-Taylor, University College London, UNESCO Chair in AI

John Shawe-Taylor, University College London, UNESCO Chair in AI

John Shawe-Taylor, University College London, UNESCO Chair in AIThe jump into AI has to some extent jumped into a technology that can replace humans, a technology that can influence humans and to some extent undermine humans. So there has been obviously many important advances, and very exciting development in the technology, but it hasn’t always been thought through what the effect of this technology on humanity will be and to ensure that the potential negative effects are addressed or avoided. This is completely understandable as many of the negative effects were unforeseen.

The ability to influence people and the way we’ve seen this possibly misused in election processes is something that I think people would not have foreseen and for that reason there is no guilt on the part of companies for failing to address these issues upfront, perhaps they have been slow to respond in many cases, but that really comes down to their business model. A business is in many instances responsible in many respects for ensuring profit for their shareholders.

Of course it should take social responsibility seriously and perhaps that’s being sometimes taken on board a little later than it would be desirable. However, I think this HumaneAI project is to address these issues head on and is to take those questions through to the fundamental research that is required to address them to understand them properly and to think about their implications for humanity as a whole. And there I think we are potentially hitting on incredibly interesting questions.

Questions about “what it means to be a human being”, “what is now the essence of being human”, perhaps it isn’t just intelligence. If we can reproduce that intelligence in a machine, then why are we different from a machine? We have to ask that question, and I think that is one of the questions that Humane AI can shed light on by understanding the implications of the way humans think and do things, and experience and the way AI system do things and don’t experience, for example.

One of the beauties of Europe is its cultural diversity, and to some extent I am a great believer in not undermining that diversity by unification. I think we want to encourage that diversity, individuality in communities, obviously not at the expense of unity in the sense of understanding each other. But that’s again at the heart of hitting at one of the problems that AI has created, which is this potential for information bubbles, where people only ear the information the news the perspective that agrees with their current thinking. And that is not the kind of individuality that we want to grow in Europe.

We want to grow an individuality that respects differences, understands differences, celebrates differences, but equally celebrates individuality. So we don’t get rid of differences by creating a uniform mish-mash, we create a collaborative set of experience that is bringing together very different communities but ones that respect and encourage that individuality in others. That requires tools that will enable people to communicate across cultural divides and to understand different cultures and see what the other side thinks and see what is the difference. We can have different communities appreciated and supported in their individuality.

Chiara Boldrini, National Research Council of Italy

Chiara Boldrini, National Research Council of Italy

Humane AI is a very important project for all European countries, because we all know that in the US, artificial intelligence is mostly business oriented, you have to make money out of it. Other countries are more focused on how to control people, in order to know what they are doing and control their actions. In Europe according to the European spirit we are focused don what AI can do for people, how we can improve their way of life and also how can we make sure that AI is not detrimental to peoples lives, but to improve the quality of life, jobs and give them possibilities that they currently don’t have.

A bluesky research project that would fill a huge gap that there is currently in artificial intelligence but also in general in data mining is actually the lack of data. We talk a lot about bigdata, but there are not many data or its proprietary and it’s not very easy to study and research on this topic. For example, if you study social media, a lot of this data is owned by companies, so as a researcher you can only observe a small subset in that world.

Paolo Traverso, Fondazione Bruno Kessler

Paolo Traverso, Fondazione Bruno Kessler

Humane AI is the distinguished vision of Europe for AI. When we say something like this in the US they make AI for big business, in China they make it to govern. We make AI, we want to do research in AI for the people. Human AI is to improve the life of the people. I think that to do this you need a distinguished and different technology and research. This is something that can be done only by Europe.

At the moment there are two main trends in AI, one is more from learning from data, the other is more from on modelling the world, systems and machines. I believe the future will be an integration leading to integrative AI. Both components will be put together. We need people with different competencies in different branches of AI to work together to do something better and stronger than before.

Aart van Halteren, Philips, University of Amsterdam

Aart van Halteren, Philips, University of Amsterdam

As a company it’s really important that we do AI research, that its really done in a responsible way, so that we don’t end up in all kinds of discussions that would put a company in a bad situation. I think it’s really important that we get a group of people together that work with that type of objective.

My bluesky project would be to build this cognitive exoskeleton that would allow you to as a patient to really manage your health in a much better way than you would be able to do without it. Staying with your own personal values and be able to get the right support when you need.

Raja Chatila, Sorbonne University

Raja Chatila, Sorbonne University

Humane AI is a project or an endeavour shaping the whole AI research of the future. We want Human-Centered AI, what does this mean? It means that when we develop this technology, an over reaching technology and very important for our future, we should really keep human in the centre which means this technology is there to serve humans, to benefit humanity, individuals and society. It’s not there to be developed by itself. It’s there to increase our wellbeing and our understanding of what intelligence is. It’s really there to help us to grasp better our future. It’s a formidable tool that should be developed correctly to help us increase our benefits.

Every researcher in AI wants to understand what is intelligence. We have different approaches to that. I think to understand intelligence, we need to understand how intelligence interacts with the real world, because the real world puts limits and challenges. The world is changing its complex and very difficult to understand, and this is what intelligence is about, making sense about the real world. It’s not working in an abstract and simulated world. It really has to address both the real time constraints and the evolving complexity of the world. My take on what would be a real blue sky project in AI is to make it interact with the really world and understand how it can do that efficiently.