BEGIN:VCALENDAR VERSION:2.0 PRODID:-//elias-ai - ECPv6.15.17.1//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-ORIGINAL-URL:https://elias-ai.eu X-WR-CALDESC:Events for elias-ai REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Europe/Rome BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20250330T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20251026T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20260329T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20261025T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20270328T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20271031T010000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20260306T090000 DTEND;TZID=Europe/Rome:20260306T120000 DTSTAMP:20260419T133916 CREATED:20260127T134312Z LAST-MODIFIED:20260305T124915Z UID:10831-1772787600-1772798400@elias-ai.eu SUMMARY:Theme Development Workshop on Trustworthy AI DESCRIPTION:Date & Time: March 6th\, 2026\, 09:00 – 12:00 \nLocation: ENS – Department of Biology (IBENS)\, Paris\, France (Hybrid Event) \nOverview: \nThe deployment of Artificial Intelligence in critical infrastructure and daily life necessitates a shift beyond mere performance\, toward systems that are inherently reliable\, ethically aligned\, and environmentally conscious. As AI moves from the lab to real-world applications in sectors like healthcare\, mobility\, and energy\, ensuring the “Trustworthiness” of these systems is paramount to their societal acceptance and long-term viability. \nThe ELIAS\, ELLIOT\, and ENFIELD Theme Development Workshop on Trustworthy AI brings together leading researchers and industry experts to address the multidimensional challenges of modern AI governance. The workshop is structured into three thematic pillars: \n\nFrugality: Exploring resource-efficient AI and “Green AI” techniques to minimize the computational and environmental footprint of large-scale models.\nFairness: Addressing algorithmic bias\, transparency\, and socio-technical alignment to ensure AI systems promote equity and prevent discrimination.\nTrust: Enhancing the robustness\, security\, and explainability of AI to build systems that are resilient to adversarial threats and reliable in high-stakes decision-making.\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n This hybrid 3-hour event will feature 3 sessions\, each including 20-min keynote presentations from renowned experts in the field\, followed by interactive discussions and a Q&A segment. Light lunch will be served after the end of the workshop. \n \n \n \n \n \n Registration Deadline\nIn-person Attendance → February 20th\, 2026 – 18:00 CET\nOnline Attendance → March 4th\, 2026 – 18:00 CET\n\n Register here\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n This workshop is jointly organised by the ELIAS\, ELLIOT & ENFIELD projects. \n \n \n \n \n \n ELLIOT – European Large Open Multi-Modal Foundation Models For Robust Generalization On Arbitrary Data Streams (GA No. 101214398 ) aims to develop the next generation of open Multimodal Generalist Foundation Models (MGFMs): AI systems designed to learn general knowledge and patterns from massive amounts of data of various types — from videos\, images\, and text to sensor signals\, industrial time series\, and satellite feeds — and efficiently transfer the generic knowledge learned in generalist manner to a wide variety of downstream tasks. Unlike current foundation models that face significant challenges in terms of generalisation capabilities and support for multimodal data\, ELLIOT’s models will be capable of robust generalisation across conditions not seen during the training\, coping well with dynamic\, noisy\, and temporally-evolving multimodal data streams. Real and synthetic data will be leveraged for training MGFMs and for further adapting them for specific downstream tasks in domains like media\, earth observation\, robot perception\, mobility\, computer engineering and workflow automation. European HPC infrastructure is directly included in the consortium to ensure the availability of the necessary computing resources. www.elliot-ai.eu \n \n \n \n \n \n ENFIELD – European Lighthouse to Manifest Trustworthy and Green AI (GA No. 101120657) aims to advance adaptive\, green\, human-centric and trustworthy AI by establishing a European Centre of Excellence. With a consortium of 30 partners from 18 countries—covering academia\, industry\, SMEs and the public sector—the project targets key domains such as healthcare\, energy\, manufacturing and space. ENFIELD will deliver over 75 AI solutions\, around 180 high-impact publications\, and strategic roadmaps\, supported by extensive outreach to foster responsible AI adoption across Europe. www.enfield-project.eu \n \n \n \n \n \n By bridging the expertise of the ELIAS\, ELLIOT\, and ENFIELD networks\, this workshop aims to highlight technical breakthroughs\, explore regulatory implications\, and present practical application examples that define the European standard for Trustworthy AI. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Speakers\n \n \n \n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n Victor Charpenay\n (ENFIELD\, Associate Professor\, École des Mines de Saint-Étienne)\n Life-Cycle Analysis of AI Systems - A Review\n\n\n\n\n\n \n Enzo Tartaglione\n (ELIAS\, Full Professor\, Télécom Paris)\n Beyond Traditional Pruning: Layer Collapse for Efficient Deep Learning\n\n\n\n\n\n \n Ruta Binkyte-Sadauskiene\n (ELLIOT\, Researcher\, CISPA Helmholtz Center for Information Security)\n From Prediction to Interaction: Rethinking Fairness for LLMs and Agentic AI\n\n\n\n\n\n \n Charlotte Laclau\n (ELIAS\, Associate Professor\, Télécom Paris)\n There is No Universal Fairness\n\n\n\n\n\n \n Sebastian Heil\n (ENFIELD\, Senior Researcher\, Chemnitz University of Technology)\n Human Perception of AI Trustworthiness\n\n\n\n\n\n \n Georgios Spathoulas\n (ENFIELD\, Associate Professor\, Norwegian University of Science and Technology)\n Integrity Challenge of AIaaS\n\n\n\n\n\n\n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Agenda\nPlease note that the agenda is subject to slight changes and will be updated accordingly. \n \n \n \n \n \n \n\n\n \n \n Workshop Agenda\n \n \n\n\n\n\n\n \n \n Time\n Duration\n Session Name\n \n \n \n\n \n \n 09:00 – 09:10\n 5 mins\n \n Welcome & Introductions\n \n Opening remarks\n Introduction to the workshop’s theme\n Overview of the sessions and objectives\n \n Nicu Sebe (ELIAS\, Full Professor\, University of Trento)\, Florence d'Alché (ELIAS\, Institut Polytechnique de Paris)\n \n \n\n \n \n 09:10 – 10:00\n Session 1: Frugality\n \n \n 20 mins\n \n Keynote: Life-Cycle Analysis of AI Systems - A Review\n Victor Charpenay\n(ENFIELD\, Associate Professor\, École des Mines de Saint-Étienne)\n \n \n \n 20 mins\n \n Keynote: Beyond Traditional Pruning: Layer Collapse for Efficient Deep Learning\n Enzo Tartaglione (ELIAS\, Full Pofessor\, Télécom Paris)\n \n \n \n 10 mins\n Q&A and Discussion\n \n\n \n \n 10:00 – 10:50\n Session 2: Fairness\n \n \n 20 mins\n \n Keynote: From Prediction to Interaction: Rethinking Fairness for LLMs and Agentic AI\n Ruta Binkyte-Sadauskiene (ELLIOT\, Researcher\, CISPA Helmholtz Center for Information Security)\n \n \n \n 20 mins\n \n Keynote: There is No Universal Fairness: Lessons from Text Classification to Graph Prediction\n Charlotte Laclau (ELIAS\, Associate Professor\, Télécom Paris)\n \n \n \n 10 mins\n Q&A and Discussion\n \n\n \n \n 10:50 – 11:05\n 15 mins\n BREAK\n \n\n \n \n 11:05 – 11:55\n Session 3: Trust\n \n \n 20 mins\n \n Keynote: Human perception of AI trustworthiness\n Sebastian Heil (ENFIELD\, Senior Researcher\, Chemnitz University of Technology)\n \n \n \n 20 mins\n \n Keynote: The integrity challenge of the AIaaS model\n Georgios Spathoulas (ENFIELD\, Associate Professor\, Norwegian University of Science and Technology)\n \n \n \n 10 mins\n Q&A and Discussion\n \n\n \n \n 11:55 – 12:00\n 5 mins\n \n Conclusion & Wrap-up\n \n Summary of key takeaways\n Final remarks and next steps\n \n Nicu Sebe (ELIAS\, Full Professor\, University of Trento)\, Florence d'Alché (ELIAS\, Institut Polytechnique de Paris)\n \n \n\n \n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n \n \n Details\n Date: Thursday\, March 6th\, 2026\n Time: 09:00 – 12:00 CET\n Format: Hybrid Event\n Duration: 3 hours (3 sessions with Q&A)\n Registration Deadlines:\n In-person → February 20th\, 2026 – 18:00 CET\n Online → March 4th\, 2026 – 18:00 CET\n \n\n \n \n Venue\n Location:\n ENS – Department of Biology (IBENS)\n 46 Rue d’Ulm\n 75005 Paris\, France URL:https://elias-ai.eu/event/tdw-trustworthy-ai/ LOCATION:ENS – Department of Biology (IBENS)\, 46 Rue d'Ulm\, Paris\, 75005\, France CATEGORIES:TDW,Workshops ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2026/01/TDW_ELIAS_Trustworthy_AI-1.png END:VEVENT END:VCALENDAR