BEGIN:VCALENDAR VERSION:2.0 PRODID:-//elias-ai - ECPv6.15.17.1//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:elias-ai 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:20240331T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20241027T010000 END:STANDARD 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:20260417T082419 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 BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20250710T090000 DTEND;TZID=Europe/Rome:20250710T133000 DTSTAMP:20260417T082419 CREATED:20250514T085126Z LAST-MODIFIED:20260217T094905Z UID:8766-1752138000-1752154200@elias-ai.eu SUMMARY:ELIAS\, ELLIOT & ELSA Theme Development Workshop on Foundation Models DESCRIPTION:Date & Time: July 10th\, 2025\, 9:00 – 14:15 EEST (GMT+3) \nLocation: Centre for Research and Technology Hellas (CERTH)\, Thessaloniki\, Greece (Hybrid Event) \nOverview: The emergence of Foundation Models and Large Language Models is transforming the way AI systems are developed and applied in various industry sectors. Trained on massive amounts of data of different modalities and using transfer learning to apply the knowledge learned from one task to another\, models such as ChatGPT\, GPT-4\, BERT\, CLIP\, DALL-E\, etc. can be adapted to a wide range of downstream tasks from media content generation to climate change modeling\, healthcare monitoring\, autonomous driving and many more.  \nThe ELIAS\, ELLIOT & ELSA Theme Development Workshop on Foundation Models aims to highlight the opportunities offered by Foundation Models\, explore relevant technical challenges\, consider legal & ethical aspects\, and present application examples. \nObjectives: \n\nExplore technical aspects of Foundation Model training such as generalisation\, scaling\, benchmarking\, security\, and computational resources.\nAddress ethical considerations in the development and deployment of Foundation Models.\nHighlight different applications domains and discuss relevant adaptation challenges of Foundation Models.\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 4-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\nOnline Attendance → July 9th\, 2025 – 18:00 CET\n\nRegistration for in-person attendance has been closed on June 18th\, 2025\, (midnight CET). \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 & ELSA 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 enhance general-purpose AI by developing large-scale\, open multimodal foundation models with strong spatio-temporal understanding. Led by top European academic and industrial labs from the ELLIS and LAION communities\, the project targets underrepresented time-relevant modalities such as industrial time series\, remote sensing\, and health data. Both real and synthetic data will be used\, sourced from consortium partners and European Data Spaces\, with synthetic data generated using current and novel generative AI methods. European HPC resources are integrated to support large-scale model training. \n \n \n \n \n \n ELSA – European Lighthouse on Secure and Safe AI (GA No. 101070617) is a growing network of excellence that spearheads efforts in foundational safe and secure AI methodology research. ELSA’s founding members include European experts in all aspects of safe and secure AI\, with particular focus on technical robustness\, privacy preserving techniques and human agency and oversight. In addition\, ELSA brings on board research and industry experts in six different sectors that are key application areas of safe and secure AI. ELSA builds on and extends the internationally recognized and excellently positioned ELLIS (European Laboratory for Learning and Intelligent Systems) network of excellence.  For more information\, please visit: www.elsa-ai.eu \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Speakers & Moderators\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 Jenia Jitsev\n JSC & LAION\n EC projects: ELLIOT\, openEuroLLM\, LLMs4EU\n \n\n \n \n \n Frank Hutter\n PriorLabs & University of Freiburg\n EC projects: ELLIOT\, openEuroLLM\, LLMs4EU\n \n\n \n \n \n Cees Snoek\n University of Amsterdam\n EC projects: ELLIOT\, ELIAS\, ADRA-e\n \n\n \n \n \n Mario Fritz\n CISPA & Saarland University\n EC projects: ELSA\, ELLIOT\n \n \n\n \n \n \n \n \n Flavia Giglio\n KU Leuven\n EC projects: ELLIOT\n \n\n \n \n \n Marc Pollefeys\n ETH Zurich & Microsoft\n EC projects: ELLIOT\, ELIAS\n \n\n \n \n \n Matthieu Cord\n Sorbonne University & VALEO\n EC projects: ELLIOT\n \n\n \n \n \n Dario Garcia-Gasulla\n Barcelona Supercomputing Center\n EC projects: ELLIOT\, AI4Europe\, AIFactories\, DARE\n \n \n\n \n \n \n \n \n Elisa Ricci\n University of Trento & Fondazione Bruno Kessler\n ELIAS\, ELLIOT\n \n\n \n \n \n Lorenzo Baraldi\n University of Modena and Reggio Emilia\n ELIAS\, ELLIOT\, ELSA\, MINERVA\n \n \n \n \n \n \n Dimosthenis Karatzas\n CVC-CERCA & Autonomous University of Barcelona\n ELSA\, ELLIOT\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 Agenda\nPlease note that the agenda is subject to slight changes and will be updated accordingly. \n \n \n \n \n \n All times are local (Greece) time (EEST = GMT+3\, e.g. 10:00 EEST = 09:00 CEST) \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 09:00 – 09:15\n 15 mins\n \n Welcome & Introduction to Foundation Models\n \n Opening remarks\n Introduction to Foundation Models\n Overview of the sessions and objectives\n \n Elisa Ricci (UNITN & FBK) \n \n\n \n 09:15 – 10:30\n Session 1: Training Foundation Models\n \n \n Moderator: Elisa Ricci (UNITN & FBK)\n \n \n 20 mins\n \n Keynote: Jenia Jitsev (JSC & LAION)\n Open Foundation Models: Scaling Laws and Generalisation\n To study transferable learning and generalisation\, derivation of reproducible scaling laws is crucial\, as they not only predict model function and properties on unseen scales\, but also have potential to enable systematic comparison of various learning procedures. The talk will discuss why open foundation models and datasets are essential for this research and highlight challenges in properly measuring generalisation.\n \n \n \n 5 mins\n Q&A and Discussion\n \n \n 20 mins\n \n Keynote: Frank Hutter (PriorLabs\, ELLIST)\n Tabular Foundation Models\n \n Tabular data\, spreadsheets organized in rows and columns\, are ubiquitous across healthcare\, business and finance. Although deep learning has revolutionised learning from raw data and led to numerous high-profile success stories\, gradient-boosted decision trees have dominated tabular data for the past 20 years. In this talk\, I will demonstrate how we changed this with the first foundation models for tabular data\, in particular TabPFN and TabPFN v2.\n \n \n \n 5 mins\n Q&A and Discussion\n \n \n 20 mins\n \n Keynote: Cees Snoek (UvA)\n NeoBabel: A Multilingual Open Foundation Model for Visual Generation \n \n Text-to-image generation advancements have been predominantly English-centric\, creating barriers for non-English speakers and perpetuating digital inequities. This talk introduces NeoBabel\, a multilingual image generation foundation model that sets a new Pareto frontier in performance\, efficiency and inclusivity\, natively supporting English\, Chinese\, Dutch\, French\, Hindi\, and Persian.\n \n \n \n 5 mins\n Q&A and Discussion\n \n\n \n 10:30 – 11:20\n Session 2: Ethical & Safe Foundation Models\n \n \n Moderator: Lorenzo Baraldi (UNIMORE)\n \n \n 20 mins\n \n Keynote: Mario Fritz (CISPA)\n Security and Safety of Foundation Models\n \n The talk will focus on the security and safety of Foundation Models\, covering topics such as LLM security\, prompt injection\, data-instruction separation\, multi-agent setups\, AI for (vulnerable) code\, and auto red teaming.\n \n \n \n 5 mins\n Q&A and Discussion\n \n \n 20 mins\n \n Keynote: Flavia Giglio (KUL)\n Ethical and Legal Aspects of Foundation Models\n \n The talk will revolve around legal and ethical challenges posed by foundation models\, including an overview of the latest EU legislative developments in the AI field and how it concerns the design and deployment of such models.\n \n \n \n 5 mins\n Q&A and Discussion\n \n\n \n 11:20 – 11:40\n COFFEE BREAK\n \n\n \n 11:40 – 12:55\n Session 3: Application of Foundation Models\n \n \n Moderator: Dimosthenis Karatzas (CVC-CERCA & UAB)\n \n \n 20 mins\n \n Keynote: Marc Pollefeys (Microsoft & ETHZ)\n Spatial AI\n \n The talk will focus on the challenges of using AI in 3D spatial settings for real-world AI assistants and robotics.\n \n \n \n 5 mins\n Q&A and Discussion\n \n \n 20 mins\n \n Keynote: Matthieu Cord (VALEO)\n Driving through Generative Video Pretraining\n \n Presentation of an end-to-end driving Video-Action Model that harnesses the power of generative video pretraining\, learning unsupervised rich video representations from large driving video datasets and applying these representations for control via imitation learning.\n \n \n \n 5 mins\n Q&A and Discussion\n \n \n 20 mins\n \n Keynote: Dario Garcia-Casulla (BSC)\n Training and Evaluating LLMs in European HPC centers\n \n Review of current practices on post-training LLMs (SFT\, instruct\, merge and align) for multiple tasks in healthcare\, and discussion of current limitations in model evaluation\, also for other domains such as LLMs for Chip Design or code generation. Includes details of computational access and cost within existing and incoming (AIFactories) European HPC infrastructure.\n \n \n \n 5 mins\n Q&A and Discussion\n \n\n \n 12:55 – 13:15\n 20 mins\n \n Conclusion & Wrap-up\n \n Summary of key takeaways\n Final remarks and next steps\n \n Elisa Ricci (UNITN & FBK)\, Dimosthenis Karatzas (CVC-CERCA & UAB)\, Lorenzo Baraldi (UNIMORE)\n \n \n\n \n 13:15 – 14:15\n 60 mins\n LUNCH\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 Venue\nThe ELIAS\, ELLIOT & ELSA TDW on Foundation Mode will take place at the campus of the Centre for Research and Technology Hellas (CERTH) in Thessaloniki\, Greece. CERTH is located at the 6th km of the Charilaou-Thermi Road in Thermi\, Thessaloniki. It is about 10 km from the centre of Thessaloniki and about 8 km from “Makedonia” International airport. You can reach CERTH by bus/metro\, car or taxi. \nThe workshop will take place at the Amphitheatre of the central administration building of CERTH. Coffee and lunch breaks will take place in the entrance hall (foyer)\, outside the Amphitheatre. As you enter the campus\, the central administration building is on your right\, the last building with the red bricks at the end of the road (<1 min walk from the gate). You can always ask the guard at the gate of the campus for instructions. Signs will also be put out. \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\, July 10th\, 2025 \n Time: 9:00 – 14:15 EEST (GMT+3) \n Format: Hybrid Event \n Duration: 4 hours (with a 20-minute coffee break) + 1 hour light lunch at the end \n \n\n \n \n Venue\n Location (English):\n CERTH (“EKETA” in Greek)\n 6th km Charilaou - Thermi Road\n 570 01 Thermi\n Thessaloniki\, Greece \n\n Τοποθεσία (Ελληνικά):\n Εθνικό Κέντρο Έρευνας και Τεχνολογικής Ανάπτυξης (ΕΚΕΤΑ)\n Τεχνολογικό Πάρκο Θεσσαλονίκης\n 6ο χλμ οδού Χαριλάου - Θέρμης\n Θέρμη\, Θεσσαλονίκη URL:https://elias-ai.eu/event/tdw-foundation-models/ LOCATION:Thessaloniki\, Greece\, Thessaloniki\, Greece CATEGORIES:TDW,Workshops ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2025/05/TDW_ELIAS-8.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20250307T080000 DTEND;TZID=Europe/Rome:20250307T120000 DTSTAMP:20260417T082419 CREATED:20250218T143506Z LAST-MODIFIED:20250514T090459Z UID:7849-1741334400-1741348800@elias-ai.eu SUMMARY:Theme Development Workshop on Sustainability & AI DESCRIPTION:Theme Development Workshop on Sustainability & AI\nDate & Time: March 7th\, 2025\, 9.00 – 13.00 (GMT +2) \nLocation: Bucharest\, Romania (Hybrid Event) \nOverview: Join us for the Theme Development Workshop on Sustainability & AI\, a 4-hour hybrid event designed to explore the powerful intersection of Artificial Intelligence (AI) and Sustainability. This workshop will focus on how AI can address global environmental challenges\, promote sustainable societies\, and ensure trustworthy AI for individuals. The event will feature a series of 5 sessions\, each with two 15-minute keynote presentations followed by interactive discussions and a Q&A segment. \n \nObjectives: \n\nExplore AI’s contributions to global sustainability.\nDiscuss AI’s role in creating sustainable societies and equitable solutions.\nExamine how trustworthy AI can benefit individuals while advancing sustainability goals.\nFoster collaboration between AI experts\, sustainability professionals\, and policymakers.\nAddress the ethical considerations in the development of AI for sustainability.\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 Agenda\n \n \n \n \n \n \n\n\n\n\nResponsive Table\n\n\n\n\n \n\n\n\n\n\nTime\nDuration\nSession name\n\n\n\n\n09:00 – 09:10\n10 mins\nWelcome & Introductions\n\nOpening remarks\nIntroduction to the workshop’s theme: AI and Sustainability\nOverview of the sessions and objectives\n\nNicu Sebe (UNITN)\, Filareti Tsalakanidou (CERTH)\n\n\n\n\n\n09:10-09:30\n15 mins\nSession 1: Regulatory and Ethics Aspects\n\n\nKeynote: Marko Milosaljevic (University of Ljubljana\, Slovenia)\n\n\n5 mins\nQ&A and Discussion\n\n\n \n\n09:30-10:10\n30 mins\nSession 2: AI for a Sustainable Planet\n\n\nKeynote: Saso Dzeroski (Jozef Stefan Institute\, Slovenia)\n Marius Leordeanu (National University of Science and Technology POLITEHNICA Bucharest\, Romania)\n\n\n10 mins\nQ&A and Discussion\n\n \n \n\n10:10-10:50\n30 mins\nSession 3: AI for a Sustainable Society\n\n\nKeynote: Nicolò Cesa-Bianchi (University of Milan\, Italy)\n Ioana Manolescu (INRIA\, France)\n\n\n10 mins\nQ&A and Discussion\n \n\n\n \n10:50-11:10\n20 mins\n\nBreak \n\n\n\n\n\n11:10-11:40\n30 mins\nSession 4: Trustworthy AI for Individuals\n\n\nKeynotes:\n\nLorenzo Baraldi (University of Modena and Reggio Emilia\, Italy)\nNicu Sebe (University of Trento\, Italy)\n\n\n\n\n10 mins\nQ&A and Discussion\n\n \n \n\n11:40-12:00\n20 mins\nSession 5: Fostering the Next Generation of AI Talents\n\n\nKeynotes:\n\nCharlotte Delage (Institute Polytechnique of Paris\, France)\n\n\n\n\n5 mins\nQ&A and Discussion\n\n\n12:00-12:40\n30 mins\nSession 6: Entrepreneurship and Tech Transfer\n\n\nKeynotes:\n\nNina Peters (University of Tubingen\, Germany) \nIsabelle Siegrist (ETH Zurich\, Switzerland)\n\n\n\n\n10 mins\nQ&A and Discussion\n\n \n\n\n12:40-12:55\n15 mins\nConclusion & Wrap-up\n\nSummary of key takeaways\nFinal remarks and next steps\n\nNicu Sebe (UNITN)\, Filareti Tsalakanidou (CERTH)\n\n\n\n \n Privacy Notice: Pursuant to the EU Regulation No. 2016/679 (GDPR) and to the Privacy Policy for ELIAS event participants\, we inform you that the event will be recorded and disclosed on the ELIAS project channels.\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\nDetails\n\nDate: March 7\, 2025\n Time: 9.00 - 13.00 (GMT +2) (Hybrid Event)\n\n\n\n\n\n \n\n\n\n\n\n\n\nVenue\n\n\n\n\nUNSTPB Central Library\nRoom 2.1 on the Second Floor\nSplaiul Independenței\, 313\nBucharest\, 060042\nRomania URL:https://elias-ai.eu/event/tdw-on-sustainability-ai/ CATEGORIES:TDW ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2025/02/TDW_ELIAS.png END:VEVENT END:VCALENDAR