TAILOR: Foundations of Trustworthy AI – Integrating Reasoning, Learning and Optimization


TAILOR: Foundations of Trustworthy AI – Integrating Reasoning, Learning and Optimization

Maximising opportunities and minimising risks associated with artificial intelligence (AI) requires a focus on human-centred trustworthy AI. This can be achieved by collaborations between research excellence centres with a technical focus on combining expertise in theareas of learning, optimisation and reasoning. Currently, this work is carried out by an isolated scientific community where research groups are working individually or in smaller networks. The EU-funded TAILOR project aims to bring these groups together in a single scientific network on the Foundations of Trustworthy AI, thereby reducing the fragmentation and increasing the joint AI research capacity of Europe, helping it to take the lead and advance the state-of-the-art in trustworthy AI. The four main instruments are a strategic roadmap, a basic research programme to address grand challenges, a connectivity fund for active dissemination, and network collaboration activities.

Info

  • (field of science)
  • (funding body) EU Horizon 2020 Framework Programme (H2020)
    • (programme) H2020-EU.2.1.1 – INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
    • (topic) ICT-48-2020 – Towards a vibrant European network of AI excellence centres
    • (call for proposal) H2020-ICT-2018-20 – sub call H2020-ICT-2019-3
    • (funding scheme) RIA – Research and Innovation action
  • (project acronym) TAILOR
    • (project full title) Foundations of Trustworthy AI – Integrating Reasoning, Learning and Optimization
  • (grant agreement id) 952215
    • (overall budget) € 12000000
    • (EU overall contribution) € 12000000
    • (EU contribution / UniBo) € 279653,75
  • (DOI) 10.3030/952215
  • (start-end dates) 01/09/2020 – 31/08/2024

UniBo Unit

3 Publications  /  TAILOR

3 Talks  /  TAILOR

Tags: H2020 TAILOR
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