About TAILOR



54 PARTNERS FROM ALL OVER EUROPE IN AN EU PROJECT
&
A STEADILY GROWING NUMBER OF NETWORK MEMBERS

POWERFUL INSTRUMENTS FOR AI RESEARCH AND COLLABORATION

A strategic roadmap for research and innovation

A research program to address grand challenges

A connectivity fund for active dissemination and inclusion of the broader research community

Network collaboration activities

5 RESEARCH AREAS

TRUSTWORTHY AI

– to develop the foundations for 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 technology

A STRONG SET OF EUROPEAN AI PROJECTS

TAILOR is one of four “Network of Excellence” (TAILOR, ELISE, HUMANE AI NET and AI4MEDIA) working on aspects of trustworthy AI funded under the H2020-ICT-48-2020 call. The Coordination and support action VISION4AI brings the four together.

BACKGROUND & RATIONALE

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 centres leveraging and combining learning, optimisation, 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 in the last ten years at an unprecedented pace. 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 life and have a significant impact on the way we decide, they need to be trustworthy. How can a radiologist trust an AI system analysing 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. We need 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.

OBJECTIVES

PROJECT DATA

Project acronymTAILOR
Project full nameFoundations of Trustworthy
AI – Integrating Reasoning, Learning and Optimization
EC Grant Agreement number952215
Project starting date01/09/2020 (September 1, 2020)
Duration48 months
Day for finalization31/8/2024 (August 31, 2024)
Call identifierH2020-ICT-2019-3
TopicICT-48-2020
Towards a vibrant European network of AI excellence centres
Maximum grant amount€ 12 M
Number of partners54
CoordinatorLinköping University, IDA, SE-581 83 Linköping, Sweden
Project CoordinatorFredrik Heintz
fredrik.heintz@liu.se 
+46 70 089 56 89
Project ManagerTrine Vikinge
trine.vikinge@liu.se 
+46 79 062 16 39
Coordinator Financial OfficerKirstin Kahl
kirstin.kahl@liu.se
+46 13 28 28 97