Impact Stories

In an era marked by rapid technological advancements, the European Union is taking decisive steps to harness the power of Artificial Intelligence responsibly. Recognizing AI’s vast potential alongside the imperative for safety and trust, the EU has spearheaded the TAILOR Network, a pioneering research initiative aimed at shaping a future where AI technologies are developed […]

Machine learning and other AI technologies have the potential to greatly increase scientific output in many domains, while even increasing quality and lowering costs. However, due to the current exponential growth and influx of investment and interest, access to computer scientists and machine learning specialists is often a limiting factor. Scientists working in the group

AI-powered collaboration tools can be used to find new and exciting collaborations and collaborators within the research community. As the TAILOR Network is tasked with developing trustworthy AI, making use of AI tools to further AI research leads to both new exciting opportunities and allows the researcher to put theory into practice. Leading the charge

At the heart of the TAILOR Network’s mission is the desire to see the recognition of the need for strategic AI investments within the EU, and a policy framework adapted to the needs of European businesses and citizens. Fredrik Heintz, the Coordinator of the TAILOR network, works intensively towards this target. Large parts of the

To ensure that all members and citizens of the European Union can share the profits generated by deploying AI systems, there is also a need to democratise and decentralise the access to education, research and AI resources. Not only will this make sure that we can catch any talents no matter where they are from,

The possibilities and promises of AI technology might seem endless, and it’s easy to get blinded by the pace of development and visions of a utopian future. We will need massive technical breakthroughs, ethical considerations as well as the development of rules, guidelines, definition and legal requirements before we allow algorithms to access all corners

Recent developments in the field of AI show great potential for the future of our society. However, to fulfil this great promise, we must be able to apply AI to our most constrained and critical services. But to do so, we must also make sure that we have true alignment with our goals and values,

University teachers are shaping the hearts and minds of the next generation of AI researchers. It is important that PhD students in computer science and AI learn about the results of TAILOR researchers in the domain of trustworthy AI. Researchers Peter Flach and Miquel Perello-Nieto have been leading a team of researchers collecting a set

Humans like to compete, not only in sports but also in computer science. This makes data competitions an excellent way of reaching very diverse goals and interest groups. The universal language of competitions allows to showcase what is possible and to create incentives for applicable and experimental research. It is also used to attract talent.

The concept of robotic workers in our home and workplace isn’t new. We’ve all wished we had a robot vacuum cleaner, seen grass cut automatically, interacted with some level of autonomy in vehicles, or used voice recognition to play the next song. All with varying degrees of success, and varying levels of anthropomorphizing.