| D 1.1 | Project quality plan | P 1 – LIU | M03 |
| D 10.1 | Connectivity Fund operational | P 12 – TU/e | M03 |
| D 13.1 | H – Requirement No. 1 | P 1 – LIU | M03 |
| D 12.1 | Project website and Trustworthy AI repository | P 1 – LIU | M04 |
| D 1.6 | Data Management Plan | P 1 – LIU | M06 |
| D 2.2 | Codalab TAILOR templates | P 3 – INRIA | M06 |
| D 10.2 | Connectivity Fund call 1 | P 12 – TU/e | M06 |
| D 12.2 | Communication material (flyer, poster, video, etc.) v.1 | P 10 – UNIBO | M06 |
| D 12.4 | Dissemination Plan, v.1 | P 10 – UNIBO | M06 |
| D 13.2 | H – Requirement No. 2 | P 1 – LIU | M06 |
| D 13.3 | POPD – Requirement No. 3 | P 1 – LIU | M06 |
| D 9.7 | Summer School, first edition | P 10 – UNIBO | M08 |
| D 9.5 | PhD program, Mapping of AI-oriented PhD programmes at TAILOR partners | P 16 – UNIVBRIS | M09 |
| D 10.3 | Connectivity Fund call 2 | P 12 – TU/e | M10 |
| D 1.2 | Risk Assessment Plan | P 1 – LIU | M12 |
| D 1.3 | First TAILOR Conference | P 1 – LIU | M12 |
| D 2.1 | SRIR v.1 | P 3 – INRIA | M12 |
| D 2.3 | Foundational benchmarks and challenges v.1 | P 3 – INRIA | M12 |
| D 7.5 | AutoAI Benchmarks v.1 | P 7 – ULEI | M12 |
| D 9.3 | Training platform, beta platform | P 16 – UNIVBRIS | M12 |
| D 13.4 | M – Requirement No. 4 | P 1 – LIU | M12 |
| D 10.4 | Connectivity Fund call 3 | P 12 – TU/e | M14 |
| D 3.1 | Research Challenges and Technological Gaps of Trustworthy AI v.1 | P 2 – CNR | M18 |
| D 3.3 | Handbook on Trustworthy AI v.1 | P 2 – CNR | M18 |
| D 3.5 | Synergies Industry, Challenges, Roadmap concerning Trustworthy AI v.1 | P 2 – CNR | M18 |
| D 4.1 | Foundations, techniques, algorithms and tools for integrating learning, reasoning and optimisation v.1 | P 5 – KU Leuven | M18 |
| D 4.3 | Integrated learning, reasoning and optimisation in practice v.1 | P 5 – KU Leuven | M18 |
| D 4.5 | Synergies Industry, Challenges, Roadmap concerning learning, reasoning and optimisation v.1 | 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 | P 6 – UNIROMA1 | M18 |
| D 5.3 | Synergies Industry, Challenges, Roadmap concerning autonomous acting in AI systems v.1 | P 6 – UNIROMA1 | M18 |
| D 6.1 | Foundations, techniques, algorithms and tools to for social AI v.1 | P 8 – IST | M18 |
| D 6.3 | Synergies Industry, Challenges, Roadmap for Social AI v.1 | P 8 – IST | M18 |
| D 7.1 | Automated AI v.1 | P 7 – ULEI | M18 |
| D 7.3 | Synergies Industry, Challenges, Roadmap: the AutoAI Roadmap v.1 | P 7 – ULEI | M18 |
| D 7.6 | AutoAI Benchmarks v.2 | P 7 – ULEI | M18 |
| D 9.1 | AI-driven collaboration tools v.1 | P 16 – UNIVBRIS | M18 |
| D 9.6 | PhD program, proposal for joint TAILOR PhD curriculum | P 16 – UNIVBRIS | M18 |
| D 10.5 | Connectivity Fund call 4 | P 12 – TU/e | M18 |
| D 11.1 | Progress Report on Integration of TAILOR Assets with AI4EU v.1 | P 4 – UCC | M18 |
| D 11.3 | Progress Report on the Integration of OpenML with AI4EU v.1 | 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 | P 10 – UNIBO | M18 |
| D 9.8 | Summer School, second edition | P 31 – CSIC | M20 |
| D 10.6 | Connectivity Fund call 5 | P 12 – TU/e | M22 |
| D 1.4 | Second TAILOR Conference | P 1 – LIU | M24 |
| D 10.7 | Connectivity Fund call 6 | P 12 – TU/e | M26 |
| D 12.5 | Dissemination plan, final version | P 10 – UNIBO | M28 |
| D 10.8 | Connectivity Fund call 7 | P 12 – TU/e | M30 |
| D 12.3 | Communication material (flyer, poster, video, etc.) v.2 | P 10 – UNIBO | M30 |
| D 10.9 | Connectivity Fund call 8 | P 12 – TU/e | M34 |
| D 1.5 | Third TAILOR Conference | P 1 – LIU | M36 |
| D 2.4 | Lessons learned from TAILOR benchmarks/challenges | P 3 – INRIA | M36 |
| D 2.5 | SRIR v.2 | P 3 – INRIA | M36 |
| D 2.1.1 | Foundational benchmarks and challenges v.2 | P 3 – INRIA | M36 |
| D 2.6 | Foundational benchmarks and challenges v.2 | P 3 – INRIA | M36 |
| D 3.2 | Research Challenges and Technological Gaps of Trustworthy AI v.2 | P 2 – CNR | M36 |
| D 3.4 | Handbook on Trustworthy AI v.2 | P 2 – CNR | M36 |
| D 3.6 | Synergies Industry, Challenges, Roadmap concerning Trustworthy AI v.2 | P 2 – CNR | M36 |
| D 4.2 | Foundations, techniques, algorithms and tools for integrating learning, reasoning and optimisation v.2 | P 5 – KU Leuven | M36 |
| D 4.4 | Integrated learning, reasoning and optimisation in practice v.2 | P 5 – KU Leuven | M36 |
| D 4.6 | Synergies Industry, Challenges, Roadmap concerning learning, reasoning and optimisation v.2 | P 5 – KU Leuven | M36 |
| 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 | M36 |
| D 5.4 | Synergies Industry, Challenges, Roadmap concerning autonomous acting in AI systems v.2 | P 6 – UNIROMA1 | M36 |
| D 6.2 | Foundations, techniques, algorithms and tools to for social AI v.2 | P 8 – IST | M36 |
| D 6.4 | Synergies Industry, Challenges, Roadmap for Social AI v.2 | P 8 – IST | M36 |
| D 7.2 | Automated AI v.2 | P 7 – ULEI | M36 |
| D 7.4 | Synergies Industry, Challenges, Roadmap: the AutoAI Roadmap v.2 | P 7 – ULEI | M36 |
| D 7.7 | AutoAI Benchmarks v.3 | P 7 – ULEI | M36 |
| D 8.1 | Report on Theme Development Workshops | P 26 – DFKI | M36 |
| D 8.2 | Report on all Hackathons and Benchmarks | P 26 – DFKI | M36 |
| D 8.3 | Report on industrial innovation programme and industrial outreach | P 26 – DFKI | M36 |
| D 9.2 | AI-driven collaboration tools v.2 | P 16 – UNIVBRIS | M36 |
| D 9.4 | Training platform, at least 3 MOOCs linked to WP3-7 | P 16 – UNIVBRIS | M36 |
| D 9.9 | Summer School, third edition | P 32 – LU | M36 |
| D 10.10 | Connectivity Fund call 9 | P 12 – TU/e | M36 |
| D 11.2 | Progress Report on Integration of TAILOR Assets with AI4EU v.2 | P 4 – UCC | M36 |
| D 11.4 | Progress Report on the Integration of OpenML with AI4EU, v.2 | P 12 – TU/e | M36 |
| D 11.6 | Progress Report on SRIR Development in Collaboration with the ICT-48 CSA, PPP-AI, and AI4EU, v.2 | P 10 – UNIBO | M36 |
