European Communication to Member States fits the vision of HumaneAI

The Commission published a European strategy in AI in April 2018. The strategy places people at the centre of the development of AI — human-centric AI. It is a three-pronged approach to boost the EU’s technological and industrial capacity and AI uptake across the economy, prepare for socio-economic changes, and ensure an appropriate ethical and legal framework.

To deliver on the AI strategy, the Commission developed together with Member States a coordinated plan on AI, which it presented in December 2018, to create synergies, pool data — the raw material for many AI applications — and increase joint investments.

The aim is to foster cross-border cooperation and mobilise all players to increase public and private investments to at least EUR 20 billion annually over the next decade.

The Commission doubled its investments in AI in Horizon 2020 and plans to invest EUR 1 billion annually from Horizon Europe and the Digital Europe Programme, in support notably of common data spaces in health, transport and manufacturing, and large experimentation facilities such as smart hospitals and infrastructures for automated vehicles and a strategic research agenda.

European Commission supports a vision of Human Centered artificial intelligence

The Commission presented on 8 April 2019 next steps for building trust in artificial intelligence by taking forward the work of the High-Level Expert Group.

Building on the work of the group of independent experts appointed in June 2018, the Commission is launching a pilot phase to ensure that the ethical guidelines for Artificial Intelligence (AI) development and use can be implemented in practice. The Commission invites industry, research institutes and public authorities to test the detailed assessment list drafted by the High-Level Expert Group, which complements the guidelines.

 

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.