Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimisation

Artificial Intelligence (AI) and all the key digital technologies that are subsumed by the term AI today form an essential part of the answers to many of the daunting challenges that we are facing. AI will impact the everyday lives of citizens as well as all business sectors. To maximise the opportunities and minimise the risks, Europe focuses on human-centred Trustworthy AI, and is taking important steps towards becoming the worldwide centre for Trustworthy AI. Trustworthiness however still requires significant basic research, and it is clear that the only way to achieve this is through the integration of learning, optimisation and reasoning, as none of these approaches will be sufficient on their own.  

The purpose of this project, TAILOR, is to build a strong academic-public-industrial research network with the capacity of providing the scientific basis for Trustworthy AI. It aims to achieve this through leveraging and combining learning, optimisation and reasoning to realise AI systems that incorporate the safeguards to make them reliable, safe, transparent and respectful of human agency and expectations. This includes not only the mechanisms to maximise benefits, but also those for minimising harm.  

The network will be based on a number of innovative state-of-the-art mechanisms. A multi-stakeholder strategic research and innovation research roadmap will coordinate and guide the research in five basic research programmes. Each programme will form virtual research environments with many of the best AI researchers in Europe addressing the major scientific challenges identified in the roadmap and a collection of mechanisms supporting innovation, commercialisation and knowledge transfer to industry.  

To support network collaboration, TAILOR provides mechanisms such as AI-Powered Collaboration Tools, a PhD program, and training programs. A connectivity fund to support active dissemination across Europe will enable the network to grow and to support the scientific stepping up of more research groups.