The TAILOR consortium is committed to demonstrate that research and innovation based on expertise, cooperation, and diversity can achieve the European vision of Human-Centered Trustworthy AI and make Europe the global role-model for responsible AI.
TAILOR is an EU-funded ICT-48 Network (GA 952215) with the purpose of building the capacity of providing the scientific foundations for Trustworthy AI in Europe by developing a network of research excellence centres leveraging and combining learning, optimisation and reasoning.
Establish
Establish a strong pan-European network of research excellence centres on the Foundations of Trustworthy AI
Define and maintain
Define and maintain a unified strategic research and innovation roadmap for the Foundations of Trustworthy AI
Create
Create the capacity and critical mass to develop the scientific foundations for Trustworthy AI
Build
Build sustainable collaborations with academic, industrial, governmental, and community stakeholders on the Foundations of Trustworthy AI
Progress
Progress the scientific State-of-the-Art for the Foundations of Trustworthy AI
Increase
Increase Knowledge and Awareness of the Foundations of Trustworthy AI across Europe
Identify common goals between academia and the manufacturing sector as well as other relevant stakeholders, and define promising approaches for European research and innovation in Trustworthy AI.
Identify common goals between academia and the manufacturing sector as well as other relevant stakeholders, and define promising approaches for European research and innovation in Trustworthy AI.
The TAILOR Connectivity fund is open to all European AI researchers – for a truly vibrant Network of Excellence! Deadlines any year: 15th March — 15th July — 15th November.
On 15th of April, TAILOR Connectivity Fund has provided funds for new projects coming from PhD students and researchers from all over Europe.
A paper on learning from a limited data for human body/pose estimation from TAILOR researcher Hossein Rahmani, Lancaster University, has been accepted in the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2022) for oral presentation (...
TAILOR scientists Isabelle Guyon, Sebastien Treguer, and Marc Schoenauer, from the TAU INRIA team in Saclay, are working together with leading industrial groups to create data challenges and hackathons for Trustworthy AI. The ambition is to jointly identi...
The third Joint Theme Development Workshop (TDW) co-organised by CLAIRE, TAILOR and VISION1 on “AI for Future Healthcare” took place on the 16th December 2021 with the aim to develop and identify the most promising and emerging AI topics in the healthcare...
The TAILOR Network is developing a Strategic Research and Innovation Roadmap (SRIR), with the ambition to define the foundations of Trustworthy AI for the years 2020-2030.
TAILOR researchers Kacper Sokol and Peter Flach have developed a workflow to automatically generate interactive documents, slides and computational notebooks from a collection of markdown source files. The framework offers a novel paradigm in authoring an...
The 19th EurAI Advanced Course on AI (ACAI) and 2nd TAILOR summer school will be organised in Barcelona on the 13-17 June 2022. The theme of this summer school is Explainable and Trustworthy AI, and it's open for all researchers with an interest in the fi...
