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Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization (TAILOR)
Third-party funded project
Project title Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization (TAILOR)
Principal Investigator(s) Helmert, Malte
Co-Investigator(s) Keller, Thomas
Project Members Cohen, Liat
Organisation / Research unit Departement Mathematik und Informatik / Artificial Intelligence (Helmert)
Department Departement Mathematik und Informatik / Artificial Intelligence (Helmert)
Project Website https://tailor-network.eu/
Project start 01.09.2020
Probable end 31.08.2024
Status Active
Abstract

Artificial Intelligence (AI) and all the key digital technologies that are subsumed by the term AI today are 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 maximize the opportunities and minimize the risks, Europe focuses on human-centered 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 neither approach will be sufficient on its own.
The purpose of TAILOR is to build a strong academic-public-industrial research network with the capacity of providing the scientific basis for Trustworthy AI leveraging and combining learning, optimization and reasoning for realizing AI systems that incorporate the safeguards that make them in the reliable, safe, transparent and respectful of human agency and expectations. Not only the mechanisms to maximize benefits, but also those for minimizing 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 coordinates and guides the research in the five basic research programs. Each program forming virtual research environments with many of the best AI researchers in Europe addressing the major scientific challenges identified in the roadmap. A collection of mechanisms supporting innovation, commercialization 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 through for example allowing the network to grow and to support the scientific stepping up of more research groups.

Keywords Artificial Intelligence, Trustworthy AI, Learning, Optimisation, Reasoning
Financed by Commission of the European Union

Cooperations ()

  ID Kreditinhaber Kooperationspartner Institution Laufzeit - von Laufzeit - bis
4617948  Helmert, Malte  Gerhard Lakemeyer  RWTH Aachen  01.09.2020  31.08.2023 
4617949  Helmert, Malte  Giuseppe Attardi  Università di Pisa  01.09.2020  31.08.2023 
4617950  Helmert, Malte  Fosca Giannotti  Consiglio Nazionale delle Ricerche  01.09.2020  31.08.2023 
4617951  Helmert, Malte  Giuseppe De Giacomo  Università degli Studi di Roma La Sapienza  01.09.2020  31.08.2023 
4617952  Helmert, Malte  Hector Geffner  Universitat Pompeu Fabra  01.09.2020  31.08.2023 
   

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