Deliverables
On this webpage, you can find the list of TAILOR Deliverable reports.
We aim to make them available as soon as they have been completed and submitted to the EC. Please be aware that the contents are provided as is and no guarantee or warranty is given that the information fits any particular purpose. The user thereof uses the information at its sole risk and liability.
A few of the deliverables are confidential and will not be made available at any time, such as the Risk Assessment Plan and the Ethics deliverables of WP13.
If you are part of the TAILOR project and wonder when to deliver your report, please contact the Project Office (trine.vikinge@liu.se) to avoid misunderstandings.
ID | Deliverable title | Lead | Delivery |
---|---|---|---|
D 1.1 | Project quality plan (download pdf) | P 1 – LIU | M03 |
D 10.1 | Connectivity Fund operational (download pdf) | P 12 – TU/e | M03 |
D 13.1 | H – Requirement No. 1 (Confidential) | P 1 – LIU | M03 |
D 12.1 | Project website and Trustworthy AI repository (download pdf) | P 1 – LIU | M04 |
D 1.6 | Data Management Plan (download pdf) | P 1 – LIU | M06 |
D 2.2 | Codalab TAILOR templates (download pdf) | P 3 – INRIA | M06 |
D 10.2 | Connectivity Fund call 1 (download pdf) | P 12 – TU/e | M06 |
D 12.2 | Communication material v.1 (download pdf) | P 10 – UNIBO | M06 |
D 12.4 | Dissemination Plan, v.1 (download pdf) | P 10 – UNIBO | M06 |
D 13.2 | H – Requirement No. 2 (Confidential) | P 1 – LIU | M06 |
D 13.3 | POPD – Requirement No. 3 (Confidential) | P 1 – LIU | M06 |
D 9.7 | Summer School, first edition (download pdf) | P 10 – UNIBO | M08 |
D 9.5 | Mapping of AI-oriented PhD programmes at TAILOR partners (download pdf) | P 16 – UNIVBRIS | M09 |
D 10.3 | Connectivity Fund call 2 (download pdf) | P 12 – TU/e | M10 |
D 1.2 | Risk Assessment Plan (Confidential) | P 1 – LIU | M12 |
D 1.3 | First TAILOR Conference (download pdf) | P 1 – LIU | M12 |
D 2.1 | SRIR v.1 (download pdf) | P 3 – INRIA | M12 |
D 2.3 | Foundational benchmarks and challenges v.1 (download pdf) | P 3 – INRIA | M12 |
D 7.5 | AutoAI Benchmarks v.1 (download pdf) | P 7 – ULEI | M12 |
D 9.3 | Training platform, beta (download pdf) (download extended version) | P 16 – UNIVBRIS | M12 |
D 13.4 | M – Requirement No. 4 (Confidential) | P 1 – LIU | M12 |
D 10.4 | Connectivity Fund call 3 (download pdf) | P 12 – TU/e | M14 |
D 3.1 | Research Challenges and Technological Gaps of Trustworthy AI v.1 (download pdf) | P 2 – CNR | M18 |
D 3.3 | Handbook on Trustworthy AI v.1 (download pdf) | P 2 – CNR | M18 |
D 4.1 | Foundations, techniques, algorithms and tools for integrating learning, reasoning and optimisation v.1 (download pdf) | P 5 – KU Leuven | M18 |
D 4.3 | Integrated learning, reasoning and optimisation in practice v.1 (download pdf) | P 5 – KU Leuven | M18 |
D 5.1 | Foundations, techniques, algorithms and tools for allowing autonomous AI agents to decide and learn how to act v.1 (download pdf) | P 6 – UNIROMA1 | M18 |
D 11.1 | Progress Report on the Integration of TAILOR Assets with AI4EU v.1 (download pdf) | P 4 – UCC | M18 |
D 11.3 | Progress Report on the Integration of OpenML with AI4EU v.1 (download pdf) | P 12 – TU/e | M18 |
D 11.5 | Progress Report on SRIR Development in Collaboration with the ICT-48 CSA, PPP-AI, and AI4EU v.1 (download pdf) | P 10 – UNIBO | M18 |
D 9.8 | Summer School, second edition (download pdf) | P 31 – CSIC | M20 |
D 6.1 | Foundations, techniques, algorithms and tools to for social AI v.1 (download pdf) | P 8 – IST | M22 |
D 7.1 | Automated AI v.1 (download pdf) | P 7 – ULEI | M24 |
D 7.6 | AutoAI Benchmarks v.2 (download pdf) | P 7 – ULEI | M24 |
D 9.1 | AI-driven collaboration tools v.1 (download pdf) | P 16 – UNIVBRIS | M24 |
D 9.6 | PhD program, proposal for joint TAILOR PhD curriculum (download D9.6) | P 16 – UNIVBRIS | M24 |
D 10.5 | Connectivity Fund call 4 (download D10.5) | P 12 – TU/e | M24 |
D 1.4 | Second TAILOR Conference (download D1.4) | P 1 – LIU | M24 |
D 12.5 | Dissemination plan, final version (download pdf) | P 10 – UNIBO | M28 |
D 12.3 | Communication material (flyer, poster, video, etc.) v.2 (download pdf) | P 10 – UNIBO | M30 |
D 2.7 | Joint SRA, v.1 | P 1 – LiU | M34 |
D 10.6 | Connectivity Fund call 5 | P 12 – TU/e | M35 |
D 1.5 | Third TAILOR Conference | P 1 – LiU | M36 |
D 2.1.1 | Foundational benchmarks and challenges v.2 | P 3 – INRIA | M36 |
D 8.1 | Report on Theme Development Workshops | P 26 – DFKI | M36 |
D 9.9 | Summer School, third edition | P 32 – LU | M36 |
D 3.6 | Synergies Industry, Challenges, Roadmap concerning Trustworthy AI v.2 | P 2 – CNR | M40 |
D 4.6 | Synergies Industry, Challenges, Roadmap concerning learning, reasoning and optimisation v.2 | P 5 – KU Leuven | M40 |
D 5.4 | Synergies Industry, Challenges, Roadmap concerning autonomous acting in AI systems v.2 | P 6 – UNIROMA1 | M40 |
D 6.4 | Synergies Industry, Challenges, Roadmap for Social AI v.2 | P 8 – IST | M40 |
D 7.4 | Synergies Industry, Challenges, Roadmap: the AutoAI Roadmap v.2 | P 7 – ULEI | M40 |
D 11.6 | Progress Report on SRIR Development in Collaboration with the ICT-48 CSA, PPP-AI, and AI4EU, v.2 | P 10 – UNIBO | M40 |
D 5.2 | Foundations, techniques, algorithms and tools for allowing autonomous AI agents to decide and learn how to act v.2 | P 6 – UNIROMA1 | M42 |
D 4.4 | Integrated learning, reasoning and optimisation in practice v.2 | P 5 – KU Leuven | M44 |
D 9.2 | AI-driven collaboration tools v.2 | P 16 – UNIVBRIS | M44 |
D 11.2 | Progress Report on Integration of TAILOR Assets with AI4EU v.2 | P 4 – UCC | M44 |
D 11.4 | Progress Report on the Integration of OpenML with AI4EU, v.2 | P 12 – TU/e | M44 |
D 10.7 | Connectivity Fund call 6 | P 12 – TU/e | M46 |
D 2.4 | Lessons learned from TAILOR benchmarks/challenges | P 3 – INRIA | M46 |
D 2.5 | SRIR v.2 | P 3 – INRIA | M46 |
D 2.6 | Foundational benchmarks and challenges v.2 | P 3 – INRIA | M46 |
D 2.8 | Joint SRA, v.2 | P 1 – LiU | M46 |
D 3.2 | Research Challenges and Technological Gaps of Trustworthy AI v.2 | P 2 – CNR | M46 |
D 3.4 | Handbook on Trustworthy AI v.2 | P 2 – CNR | M46 |
D 4.2 | Foundations, techniques, algorithms and tools for integrating learning, reasoning and optimisation v.2 | P 5 – KU Leuven | M46 |
D 6.2 | Foundations, techniques, algorithms and tools to for social AI v.2 | P 8 – IST | M46 |
D 7.2 | Automated AI v.2 | P 7 – ULEI | M46 |
D 7.7 | AutoAI Benchmarks v.3 | P 7 – ULEI | M46 |
D 8.2 | Report on all Hackathons and Benchmarks | P 26 – DFKI | M46 |
D 8.3 | Report on industrial innovation programme and industrial outreach | P 26 – DFKI | M46 |
D 9.4 | Training platform, at least 3 MOOCs linked to WP3-7 | P 16 – UNIVBRIS | M46 |
D 3.5 | Synergies Industry, Challenges, Roadmap concerning Trustworthy AI v.1 | P 2 – CNR | M48 |
D 4.5 | Synergies Industry, Challenges, Roadmap concerning learning, reasoning and optimisation v.1 | P 5 – KU Leuven | M48 |
D 5.3 | Synergies Industry, Challenges, Roadmap concerning autonomous acting in AI systems v.1 | P 6- UNIROMA1 | M48 |
D 6.3 | Synergies Industry, Challenges, Roadmap for Social AI v.1 | P 8 – IST | M48 |
D 7.3 | Synergies Industry, Challenges, Roadmap: the AutoAI Roadmap v.1 | P 7 – ULEI | M48 |
D 10.8 | Connectivity Fund call 7 | P 12 – TU/e | M48 |
D 10.9 | Connectivity Fund call 8 | P 12 – TU/e | M48 |
D 10.10 | Connectivity Fund call 9 | P 12 – TU/e | M48 |