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DTSTART;TZID=Europe/Amsterdam:20251118T100000
DTEND;TZID=Europe/Amsterdam:20251119T170000
DTSTAMP:20260405T222144
CREATED:20251029T104431Z
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SUMMARY:Symposium: Feminist AI and Collective Wellbeing
DESCRIPTION:In the ‘Feminist AI and Collective Wellbeing’ symposium\, we invite researchers\, artists\, and practitioners to explore and contest the promises and pitfalls of AI in shaping collective wellbeing. \n\n\nPromises of AI include better societal wellbeing through improved healthcare\, relieved workloads\, or efficient usage of natural resources. Yet not everyone’s wellbeing counts evenly\, as AI simultaneously depends on and disrupts collectivity\, for instance\, through its pressure on shared environmental resources\, worker health\, and data exploitation and extractivism. How can we reimagine these dynamics\, and centre collective wellbeing so that it becomes a basis for caring and sustaining relationships around AI development and implementation? \nOur goal is not to provide definitive answers or fixed definitions of wellbeing and collectivity\, but to open a shared space for inquiry\, provocation\, and speculation. By foregrounding feminist\, decolonial\, and ecological perspectives\, we aim to imagine futures in which AI development and adoption are aligned with collective wellbeing.  \nThe symposium invites participants to explore how these relationships and entanglements might be reimagined\, and how AI can be critically reshaped\, reoriented\, or even refused in pursuit of more collective and caring futures. \nThrough international keynotes and a workshop on art-based AI inquiry\, we invite participants to reflect on these questions: \n\n\nWhat collectives are prioritized in the development of AI? Whose wellbeing is valued\, and whose is erased to maintain the wellbeing of others? \n\n\nHow can communities engage with AI on their own terms? What material resources\, infrastructures\, or type of data would they need to do so? \n\n\nWhat collective futures and imaginaries might we create together\, rooted in shared wellbeing rather than extractive logics? \n\n\nCan AI ever be truly aligned with collective wellbeing\, or are there cases where the most ‘caring’ act might be to refuse or resist AI altogether? \n\n\n\n\n\n\n\n\nRegister Here18 November – Part 1 |  10.00 – 15.00 \nWorkshop on art-based AI inquiry for collective knowledge generation \nOrganizers: Feminist Generative AI Lab with Virginia Tassinari and Vera van der Burg \nGuests: Soyun Park\, Mafalda Gamboa\, and Elvia Vasconcelos. \nIn this workshop\, we explore art-based inquiry as an alternative form of knowledge generation\, which can complement and enrich traditional approaches to research in AI. We invite participants to engage with new\, unusual\, artistic\, and embodied forms of exploration\, to reflect on the symposium theme. \nPlease note that the workshop has limited spots. Lunch is included. \n18 November – Part 2 |  15.00 – 17.00 \nKeynotes + Discussion + Drinks \nPlease note you can choose to register only to this part of the symposium. \nRegister Here19 November |  10.00 – 17.00 \nPhD Day \nFollowing the symposium on November 18th\, we invite PhD candidates to join us for a dedicated day of peer exchange\, collaborative feedback\, and dialogue. The PhD Day offers PhD candidates working on topics such as AI\, feminism\, care\, collectivity\, sustainability\, digital labor\, and related themes an opportunity to continue explore the theme of the symposium in relation to their own research themes and practices in an interdisciplinary environment. \nThe PhD day program will include peer review sessions that allow participants to share work in progress and to receive feedback from their peers; interactive activities that addresses the challenges of working as a PhD researcher; as well as community building and networking opportunities. \nMore info on PhD Day
URL:https://mondai.tudelftcampus.nl/en/event/symposium-feminist-ai-and-collective-wellbeing/
LOCATION:Next: Delft\, Molengraaffsingel 8\, 2629 JD\, Delft\, 2629 JD\, Netherlands
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DTSTART;TZID=Europe/Amsterdam:20251127T143000
DTEND;TZID=Europe/Amsterdam:20251127T170000
DTSTAMP:20260405T222144
CREATED:20251008T110141Z
LAST-MODIFIED:20251106T100050Z
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SUMMARY:Best AI-Related MSc thesis Award 2025
DESCRIPTION:Mondai | House of AI and the TU Delft AI Initiative are happy to host\nthe AI-Related MSc Thesis Awards 2025!\nThe Best AI-Related MSc Thesis Award (short: AI Thesis Award) is a new award that celebrates outstanding master’s research at TU Delft dedicated to development\, application or contexts of artificial intelligence. Master’s students from all faculties participated with their finished thesis\, on condition that research is centered around or involves AI. The prize will be awarded in two categories: IN AI for research that advances AI itself\, and WITH AI for research that applies AI in a specific domain. One TU Delft graduate will be selected in each category after the top 3 candidates pitch their thesis at this award ceremony. \nProgramme \n14.30 – Walk-in15.00 – Opening15.15 – Thesis pitches16.15 – Break + walk-in alumni community16.30 – Award ceremony & Kick Off Alumni Community for AI\, Data & Digitalisation17.00 – Network drinks \nFinalists Best AI-related MSc Thesis Award 2025 \nCategory IN AI \n\nKrzysztof Piotr Baran (Computer Science @Faculty of EEMCS): Federated MaxFuse: Diagonal Integration of Weakly Linked Spatial and Single-cell Data through Federated Learning\nPrajit Bhaskaran (Computer Science @Faculty of EEMCS): Transformers Can Do Bayesian Clustering\nSimon Gebraad (Robotics @Faculty of ME): LeAP: Label any Pointcloud in any domain using Foundation Models\n\nCategory WITH AI \n\nAntonio Magherini (Civil Engineering @Faculty of CEG): JamUNet: predicting the morphological changes of braided sand-bed rivers with deep learning\nIsa Oguz (Management of Technology @Faculty of TPM): Victim Blaming Bias in Traffic Accidents Using Large Language Models\nJeroen Hagenus (Robotics @Faculty of ME): Realistic Adversarial Attacks for Robustness Evaluation of Trajectory Prediction Models\n\nAI Alumni Community Kick Off  \nIf you only want to attend the launch of the AI Alumni Community\, the walk-in is between 16:15 -16:30 and borrel starts around 17:00 \nDuring this event\, we also launch the new AI\, Data and Digitalisation Alumni Community (short: AI Alumni Community). By connecting TU Delft alumni across generations\, disciplines and sectors\, we aim to unlock new opportunities for innovation\, strengthen the bridge between research\, application and societal value\, and shape a digital future that benefits everyone. This community is open to all past\, present and future TU Delft alumni with an interest in or background in AI\, data and digitalisation. Community members include graduates from bachelor’s and master’s programmes as well as PhD alumni from across the university.
URL:https://mondai.tudelftcampus.nl/en/event/best-ai-related-msc-thesis-award-2025/
LOCATION:Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD
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ORGANIZER;CN="Mondai | House of AI":MAILTO:mondai@tudelft.nl
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DTSTART;TZID=Europe/Amsterdam:20260219T120000
DTEND;TZID=Europe/Amsterdam:20260219T133000
DTSTAMP:20260405T222144
CREATED:20260122T124509Z
LAST-MODIFIED:20260122T124509Z
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SUMMARY:TU Delft AI Lunch: AI Regulations (and how to work within them)
DESCRIPTION:Mondai | House of AI is happy to host the new edition of the TU Delft AI Lunch:\nAI Regulations (and how to work within them)\n This edition of the Delft AI Lunch is focused on AI Regulations and how to work within them. Contributing to the panel discussion are: \n\nAI Act expert Hannah Ruschemeier  (prof. of Public Law at Universität Osnabrück)\,\nEmpirical law expert on GDPR Julia Krämer (PhD at EUR)\,\nData steward Nicolas Dintzner (TPM Faculty)\, and TBA cybersecurity law expert.\n\nMarie-Therese Sekwenz (TPM\, AI Futures Lab) is moderating the panel. \nThis event includes free lunch for which registration is required (help us reduce food waste!) \n(This event will be held in English) \nProgramme\n12.00 – 12.30 | Lunch & networking\n12.30 – 13.30 | Panel AI Regulations and how to work within them: moderated by Marie-Therese Sekwenz\, featuring Hannah Ruschemeier\, Julia Krämer\, and Nicolas Dintzner \nThe Delft AI (Lab) Lunch series\nThis series is part of the Delft AI (Lab) Lunches\, a recurring meet-up hosted by the TU Delft AI Labs & Talent community at Mondai | House of AI.\nEvery session\, we host a panel to discuss challenges and developments made at the intersection of AI and a specific field. During these events\, you can participate\, learn\, make connections\, inspire and be inspired by and with the Delft AI Community. We invite all interested staff and students from TU Delft to join these sessions. Please contact community manager Charlotte Boelens for more information about this series or the TU Delft AI Labs & Talent Programme. \nNote for TU Delft PhDs\nThe TU Delft AI Lunch series is eligible for earning discipline related skills GSC with the ‘Form for earning GSC for TU Delft AI(-related) seminars’. Check with your local Faculty Graduate School (FGS) if your FGS offers this option for earning Discipline Related Skills GSC; and with your supervisors if they accept our seminars on your Doctoral Education (DE) list. If you already have a form\, don’t forget to bring it with you.
URL:https://mondai.tudelftcampus.nl/en/event/tu-delft-ai-lunch-ai-regulations/
LOCATION:Panorama @Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD\, Netherlands
CATEGORIES:AI Lab Lunch
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DTSTART;TZID=Europe/Amsterdam:20260324T123000
DTEND;TZID=Europe/Amsterdam:20260324T153000
DTSTAMP:20260405T222144
CREATED:20260203T113145Z
LAST-MODIFIED:20260223T103232Z
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SUMMARY:Session AI Gigafactory Rotterdam
DESCRIPTION:Mondai | House of AI and the AI-hub Zuid-Holland\, together with Volt\,\nare pleased to host this session about the AI Gigafactory in Rotterdam(de voertaal van dit event is Nederlands) \nAI is developing at a rapid pace. AI technologies and innovations are widely used in industry\, public services and education. Questions about the position of the Netherlands and Europe in this development are on everyone’s mind; how do we shape our digital future and autonomy? \nOn Tuesday 24 March\, Volt\, initiator of the European AI Gigafactory in Rotterdam\, the AI-hub Zuid-Holland and TU Delft – Mondai | House of AI host a session about the plans for the realisation of the AI Gigafactory. The session focuses on the importance of developing such infrastructure. Not only for the region\, for the Netherlands and for Europe\, but also for the sovereignty of your organisation. In addition\, we would like to get an idea of potential use cases from your (future) practice and how these can be translated into computing needs and supporting facilities in the AI Gigafactory. \nWant to know more about the AI Gigafactory? Read more on the Volt page. This event is by invitation only\, but we are certainly open to any stakeholders who wants to be part of this conversation. Sign up and we will get in touch. \nProgramma\n12.30 – 13.00 Walk-in and lunch\n13.00 – 13.15 Opening and introduction by Joost Poort on behalf of  TU Delft – Mondai | House of AI en de AI-hub Zuid-Holland;\n13.15 – 13.45 Presentation of plans for\, and the progress of\, the AI-Gigafactory in Rotterdam by Han de Groot on behalf of Volt;\n13.45 – 14.30 Insights in AI & Compute from several domains \n\nErick Webbe\, CEO – Kickstart AI\,\nSven Hamelink\, Head Science & Technology – de Politie\,\nErik Scherff\, CIO | IT-director TU Delft.\n\n14.30 – 15.30 Discussion with moderation by Tom Jessen \nKom in ContactVragen over de AI Gigafactory? Neem vooral contact met ons op! \nJoost Poort\nManaging Director Mondai | House of AI\nAI Innovation Lead TU Delft\nHan de Groot\nCEO Volt\nInitiator of the AI-Gigafactory
URL:https://mondai.tudelftcampus.nl/en/event/session-ai-gigafactory-rotterdam/
LOCATION:Panorama @Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD\, Netherlands
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DTSTART;TZID=Europe/Amsterdam:20260506T090000
DTEND;TZID=Europe/Amsterdam:20260507T170000
DTSTAMP:20260405T222144
CREATED:20251217T183837Z
LAST-MODIFIED:20260204T101925Z
UID:10000257-1778058000-1778173200@mondai.tudelftcampus.nl
SUMMARY:Designing and Developing Ethically Aligned Defence AI
DESCRIPTION:Mondai | House of AI is pleased to host the\nDesigning and Developing Ethically Aligned Defence AI Conference\norganised by the ELSA Defense Lab\, in collaboration with the TU Delft Digital Ethics CentreAdvances in artificial intelligence (AI) are enabling military systems to operate in environments where uncertainty\, adversarial dynamics\, and time-critical decision-making are the norm rather than the exception. In such contexts\, ethical design cannot rely solely on predictable scenarios\, assumptions of human oversight\, or static rule-based constraints; rather\, it requires careful and substantial ethical programming and design to ensure that AI-enabled systems behave in alignment with moral and legal principles throughout their operational lifecycle. \nThis conference explores how ethically aligned military AI can be conceived\, designed\, and developed for deployment in uncertain\, adversarial\, and time-critical environments. Across two days\, contributors examine normative and methodological foundations related to the embedding of moral and ethical constraints during the early stages of the lifecycle of military AI systems. \nCall for Abstracts This conference focuses specifically on the challenge of designing and developing ethically aligned military AI technologies. We invite contributions that address\, among others\, the following questions: \n\nWhat methods should be used to embed robust moral constraints into particular AI-enabled systems that must act adaptively under uncertainty?\nWhat technical architectures (e.g.\, constraint learning\, formal verification\, runtime monitoring) best support ethical and moral guardrails under environmental uncertainty for different military AI capabilities?\nWhat fail-safe behaviors and override mechanisms should be incorporated depending on the risks-levels?\nHow should human–machine decision authority be allocated and dynamically recalibrated as operations evolve in real time?\nHow do data pipeline choices (dataset curation\, adversarial robustness\, bias mitigation) influence downstream ethical reliability for particular military AI decision-support systems?\nWhat forms of explainability are meaningful and practical in time-critical command settings for particular military AI decision-support systems?\nHow can testing\, validation\, and verification frameworks account for emergent behaviors in deployment environments?\n\nParticularly welcome contributions explore the relationship between normative ethical principles\, applied ethical solutions\, and concrete engineering methods\, ensuring that ethically relevant constraints are embedded from the design phase through the deployment \nHow to hand in Abstracts of no more than 500 words should be submitted to Perica Jovchevski by (the extended deadline) February 20\, 2026\, via email (p.j.jovchevski@tudelft.nl).\nNotifications of acceptance will be communicated by March 1\, 2026. \nAccepted abstracts will be allocated 25 minutes for presentation and 15 minutes for discussion.\nRevised conference papers (8.000-10.000 words)\, to be considered for publication\, are due by June 30\, 2026.\nFor further inquiries\, please also contact Perica Jovchevski\, via the button below. \nPapers presented at the conference\, will be considered for publication in an edited volume on the conference theme. Please note that acceptance to present at the conference does not guarantee publication. \nHand in AbstractConference Programme Please keep an eye on this page for more updates in the future! \nOrganisation \nPerica Jovchevski\, Post-doctoral Researcher in the section of Ethics and Philosophy of Technology at TU Delft.\nStefan Buijsman\, Associate Professor Responsible AI at TU Delft.
URL:https://mondai.tudelftcampus.nl/en/event/elsa-defense-designing-developing-ethically-ai/
LOCATION:Connect @Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD\, Netherlands
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