The TAILOR project#

In brief#

TAILOR is an EU project with the aim build the capacity to provide the scientific foundations for Trustworthy AI in Europe. TAILOR develops a network of research excellence centers, leveraging and combining learning, optimization, and reasoning (LOR) with the key concepts of Trustworthy AI (TAI).

More in detail#

The purpose of the EU Project TAILOR is to build the capacity to provide the scientific foundations for Trustworthy AI in Europe by developing a network of research excellence centers leveraging and combining learning, optimization, and reasoning. These systems are meant to provide descriptive, predictive, and prescriptive systems integrating data-driven and knowledge-based approaches. Artificial Intelligence (AI) has grown unprecedentedly in the last ten years. It has been applied to many industrial and service sectors, becoming ubiquitous in our everyday life. More and more often, AI systems are used to suggest decisions to human experts, to propose actions, and to provide predictions. Because these systems might influence our lives and significantly impact how we decide, they need to be trustworthy. How can a radiologist trust an AI system analyzing medical images? How can a financial broker trust an AI system providing stock price predictions? How can a passenger trust a self-driving car?

These are fundamental questions that require deep analysis and fundamental research activity, as well as a new generation of AI talents who are skilled in the scientific foundations of Trustworthy AI, who know how to assess, and how to design, trustworthy AI systems. Some of the current issues related to lack of trust in AI systems are a direct consequence of the massive use of black-box methods relying only on data. One needs to define the foundations of a new generation of AI systems not only relying on data-driven approaches but also on the whole set of AI techniques, including symbolic AI methods, optimization, reasoning, and planning.

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Fig. 30 The main objectives of the TAILOR project#

The project is articulated into five research areas:

  • Trustworthy AI to develop the foundation of Trustworthy AI.

  • Paradigms and representations to combine and integrate learning, reasoning, and optimization.

  • Acting, learning, and reasoning to plan, act, and monitor behavior.

  • Social AI, learning, and reasoning for multi-agent interactions and human AI collaboration.

  • Auto AI to automate the development and deployment of AI systems, and democratize the access to state-of-the-art technologies.

More information about the project can be found at the TAILOR website.

This entry was re-adapted from the TAILOR project website by Francesca Pratesi and Umberto Straccia.