Duration: (2018-2021) Starting Date: 01 Jan 2019

Scientific Responsible: I. Vlahavas

Category: International Projects

Project's URL: AI4EU initiative project site

The AI4EU project will efficiently build a comprehensive European AI-on-demand platform to lower barriers to innovation, to boost technology transfer and catalyse the growth of start-ups and SMEs in all sectors through Open calls and other actions. The platform will act as a broker, developer and one-stop shop providing and showcasing services, expertise, algorithms, software frameworks, development tools, components, modules, data, computing resources, prototyping functions and access to funding. Training will enable different user communities (engineers, civic leaders, etc.) to obtain skills and certifications.

The AI4EU Platform will establish a world reference, built upon and interoperable with existing AI and data components and other dedicated platforms. It will mobilize the whole European AI ecosystem in the 27 countries including researchers, innovators and related talents. Eight industry-driven AI pilots will demonstrate the value of the platform as an innovation tool. In order to enhance the platform, research on five key interconnected AI scientific areas will be carried out using platform technologies and results will be implemented. The pilots and research will showcase how AI4EU can stimulate scientific discovery and technological.

AI4EU has identified five interconnected priority areas that are pivotal for the achievement of human-centred AI and where fundamental technological gaps exist:

  • Explainable AI
  • Verifiable AI
  • Collaborative AI
  • Integrative AI
  • Physical AI

One of this priority areas will be about Explainable AI. When an AI system takes a decision, humans should be able to get an explanation as to why the decision is made in a format they can understand. However, many existing AI techniques and tools do not include mechanisms to track the data, the rationale and the arguments used to arrive at a given decisions. As a typical example, we do not have methods to explain why a deep neural network has produced a certain result.

Our faculty and research group will be contributing on this pilot by providing new methods and software about explaining black box models. Moreover, one more objective is to consolidate and strengthen excellence in AI in Europe, by aggregating the research community and fostering the area of formal foundations, in which Europe is a world-leader

Involving more than 70 partners, covering 21 countries, the €20m project kicked off in January 2019 and will run for three years.  Check partners here.


  • Professor Ioannis Vlahavas
  • Professor Nick Bassiliades
  • Assistant Professor Grigorios Tsoumakas
  • PhD Student Ioannis Mollas