Catholijn Jonker, TU Delft

Catholijn Jonker, TU Delft

AI can do a lot for good and I see a coevolution between humans and technology, and if you think about technology as just being there to make us more comfortable and do all the work for us, then I am afraid that the coevolution of humankind will go into the direction that is basically leading us to extinction. I would like to create artificial intelligence that challenges us, bring us to a higher level of evolution into the direction that we actually want to go. Determining that direction means that we have to talk about it and we have to stay in debate with each other about it but also with the artificial intelligence we are creating. So for the HumaneAI is really about making that combination, how to challenge each other and grow.

My blue sky project is to create methods for mass deliberation. We are all talking about having participants form the community and having all citizens participate, companies participate in our democracy, we also know that direct democracy gives us interesting problems. How can we at least make sure that everyone that is part of our society, which is everyone, can really understand what the debate is about, understand why others see in a different view and we also believe that if your approach is from a value oriented perspective, you see that the others are not demons, they just have understandable value set that maybe you give a different priority to. You might go for privacy, I might go for safety, and because of the difference in value weight, you might make a different decision than I do, but that doesn’t make you a demon, and it doesn’t make me a demon. So how can we work together and understand each other and form that point of view hopefully find new solutions to the problems our society faces.

Felix Schoppa, German Entrepreneurship GmbH

Felix Schoppa, German Entrepreneurship GmbH

I think the project is really targeting the mind set of current times. AI is coming from everywhere and mostly its rising in China and US and I think we really need in Europe initiatives like this project to have an answer to that and to foster responsible AI, because we do not know if the other parts of the world are going in the same direction as we are.

My blue sky idea would be using AI for VR and AR applications to educate people all over the world to make them empathise in situations that happen in other parts of the world. To have a worldwide education system and to work towards people understanding people in different situations.

Alípio Jorge, University of Porto

Alípio Jorge, University of Porto

Europe has a very important role in pushing the human aspect into artificial intelligence, because we are on one side competing with US and China we have a completely different view of what AI is and different start. In Europa we are by culture working on AI with very strong human drive and this is very important. Not only to be different form the others, but because it’s what we believe in and I think it’s not disadvantage as some people see it. Data protection can be a disadvantage for AI companies on the other hand I think it’s a strong advantage that we can have and that we should have.

Understanding what people do and say and that has to do with language technologies and connecting them with the real world, so finding ways of discovering semantics and actually understanding what text and words say.

James Crowley, Institut Polytechnique de Grenoble

James Crowley, Institut Polytechnique de Grenoble

If you look at where money comes from, what drives AI. In America AI is for profit. Google, Amazon, Apple, all these companies are looking to make money. This has led to some perverse effects of the technology taking over from people. If you look in China, right now where the real innovation is, China looks at AI for control, this leads to a ubiquitous vision of what everybody is doing everywhere and an incredible tool for controlling people and it AI for humanity. Our vision is to offer an alternative to AI and AI for money and AI for control. an alternative vision for AI for humanity. We want to make AI that will empower humans, to give them new powers, new abilities, to improve their quality of life and not to replace them.

AI for humanity opens many interesting blue sky projects. My current challenge is to build systems that collaborate and understand people as individuals. That understand what they understand, to see what they see and to see what they don’t see, so that they can offer advice, assistance and services to help them be more effective. These are what we call collaborative intelligent systems.

 

Davor Orlic, Knowledge 4 All Foundation

Davor Orlic, Knowledge 4 All Foundation

The idea of a human approach to AI seems to be at the center of gravity in Europe. It’s an interesting idea and the room supports it, but there is also this question of who is involved, policy makers, researchers, politicians. We will probably want to look at the choices we have. AI for cyber security, AI for the military versus AI for taxpayers and the general public and the citizens of Europe.

My bluesky project would be to connect all of the machine learning communities across the world into one, a sorts of “machine learners of the world unite” approach. This would mean to build on value but also to protect themselves from other players and paly with other players, such as policy makers, etc. A global south, a global north and a global network.

Michael Klein, VU University Amsterdam

Michael Klein, VU University Amsterdam

 

like very much this idea of the Humane AI project because I think technology is never on its own, and especially this is not the case for AI technology, so its always happening in interaction with humans. Within Humane AI we are trying to see how we can study what is happening when people are using AI technology. That’s really relevant. I have heard a really nice summary today when somebody said that the US are doing AI for money, China is doing AI for control and we in Europe are doing AI for humanity. I think that’s very important. We want to achieve something with AI that is good for humanity.

My own research is about understanding human behaviour. There is a lot of knowledge about why people do what they do in psychology, sociology and we also have a lot of technical measures to work on that. I would like to have an integrated framework where we combine all the knowledge and technologies that we have to understand what people are doing and why, that’s my bluesky project for AI.

Virginia Dignum, Umeå University

Virginia Dignum, Umeå University

Humane AI is about people and AI, about developing AI systems in a way that they are fundamentally inserted in our societies in a way that it understands and respects our values and works with us for augmenting capacities to making our life’s better and to make society a better place for all.

My bluesky project in AI is about designing optimal AI, meaning that AI is optimal for people and that is trustworthy, ethical, responsible and will take accountability and transparency into account. The question is how to develop computational tools to implement all these ideas into these AI systems.

Holger Hoos, Leiden University

Holger Hoos, Leiden University

In AI people are understandably pretty concerned about the fact that there might be adverse effects to their jobs, lives, they don’t really understand the technology very well, but they see that it brings big changes. People want to be reassured, and to be honest, I want to be reassured too, that AI is going to happen in a way that is socially compatible and that it makes our lives better, rather than just different, and maybe worse. Humane AI really aims at having a kind of AI that makes people’s lives better, rather than having than having the kind of AI that makes more profit. It’s very important for Humane AI to look very carefully at people’s needs, limitations, that maybe with the help of AI we can help overcome, like implicit bias for example. It’s also very important to help balance the interest of society as a whole, individuals and industry as we go and deploy AI broadly.

Bluesky project: I think the biggest problem we are facing right now is the critical shortage of expertise in AI and one of the things that needs to be done in order to change is of course to train more AI experts, but that is going to be too slow and will not fill the demand. Therefore, in my research what I would really like to do is automate to a large extent the development, customisation and deployment and running of AI. I think that will make sure that certain minimum standards in the quality of AI systems will be met much more easily. Automated AI would go all the way to making it easy for people that know the job that needs to be done, to allow them to do that job better with AI.