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DTSTART;TZID=Europe/Amsterdam:20250911T153000
DTEND;TZID=Europe/Amsterdam:20250911T190000
DTSTAMP:20260420T210907
CREATED:20250630T085841Z
LAST-MODIFIED:20250820T130805Z
UID:10000237-1757604600-1757617200@mondai.tudelftcampus.nl
SUMMARY:Grand Opening Huis voor Robotica en AI\, Data & Digitalisatie op TU Delft Campus
DESCRIPTION:Alle partners in het nieuwe huis voor Robotica en AI\, Data & Digitalisatie nodigen je van harte uit voor de officiële opening!(de voertaal van dit event is Nederlands) \nOp donderdag 11 september openen wij officieel de deuren van het nieuwe huis voor Robotica en AI\, Data & Digitalisatie op de TU Delft Campus. Aan de Molengraaffsingel komen AI & Robotica samen. In samenwerking met TU Delft Fieldlab DoIoT en de baanbrekende start-ups MomoMedical\, DuckDuckGoose\, PercivAI\, Dalco Robotics en de Robot Engineers bouwen Mondai | House of AI en RoboHouse aan een sterk ecosysteem van onderzoek en innovatie\, technologie en praktijk. \nOnder genot van een hapje en een drankje wordt de opening luister bijgezet door Wouter Kolff (Commissaris van de Koning\, Provincie Zuid-Holland)\, Tim van der Hagen (Rector Magnificus TU Delft)\, en Maaike Zwart (Wethouder Duurzaamheid\, Werk & Inkomen & Economie\, Gemeente Delft). \nKom in ContactVragen over de opening? Neem vooral contact met ons op! \nRoos-Anne Albers\nProjectcoördinator Mondai | House of AI\nOsman Akin\nMarketing & Communications Manager RoboHouse
URL:https://mondai.tudelftcampus.nl/event/grand-opening-ai-robotica/
LOCATION:Mondai & RoboHouse – Molengraaffsingel 29\, Molengraaffsingel 29\, Delft\, 2629 JD\, Netherlands
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ORGANIZER;CN="Mondai | House of AI":MAILTO:mondai@tudelft.nl
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DTSTART;TZID=Europe/Amsterdam:20250924T123000
DTEND;TZID=Europe/Amsterdam:20250926T143000
DTSTAMP:20260420T210907
CREATED:20250514T131845Z
LAST-MODIFIED:20250916T083137Z
UID:10000228-1758717000-1758897000@mondai.tudelftcampus.nl
SUMMARY:Both\, Between\, Beyond: Ethics and Epistemology of AI
DESCRIPTION:Mondai | House of AI is happy to host the coming workshop on the Ethics and Epistemology of AI: Both\, Between\, Beyond (De voertaal van dit evenement is Engels – this event will be held in English) \nGeneral Programme\nWednesday Sept\, 24th\n12:30 Welcome\n13:00 – 17:30 Keynote and Talks\n17:30 Networking Drinks \nThursday Sept\, 25th\n10.15 Welcome\n10.30 – 16.00 Keynotes and Talks\n18:00 Dinner \nFriday Sept\, 26th\n09.45 Welcome\n10.00 Keynote and Talks\n14.30 End \nThis workshop focuses on the interplay between epistemological and ethical questions arising with the use of AI systems. So far\, central epistemologically and ethically relevant aspects pertaining to these technologies have been largely analyzed in their singularity. For example\, epistemic limitations of these systems\, such as their opacity\, have been the center of the epistemological debate but have only been marginally addressed in ethical studies. On the other hand\, issues of responsibility\, fairness\, and privacy\, among others\, have received considerable attention in discussions on the ethics of AI. However\, even though some efforts are present in the literature to bring these two dimensions together (Russo et al.\, 2023; Pozzi and Durán\, 2024)\, more needs to be said to tackle relevant and philosophically interesting issues that fall in their intersection. \nAgainst this background\, this workshop aims to bring together scholars working on topics at the intersection between the ethics and epistemology of AI\, focusing on different philosophical traditions and perspectives. \nProgramme (updated!) Wednesday September 24th\n12.30 – 13.00 Welcome and walk-in\n13.00 – 14.00 Keynote by Claus Beisbart: “AI and Non-Epistemic Values. Insights from the Debate on Science and Values”\n14.00 – 14.20 Break\n14.20 – 15.00 Talk by Tuğba Yoldaş: “Virtue Epistemology and Responsible Knowing with Generative AI”\n15.00 – 15.40 Talk by Anna Smadjor and Yael Friedman: “Epistemological and Ethical Dimensions of Synthetic Data for Trustworthy AI”\n15.40 – 16.00 Break\n16.00 – 16.40 Talk by Giacomo Figà Talamanca and Niel Conradie: “The Significance of Vulnerability for being Trustworthy about AI”\nFrom 17.30 Informal gathering and drinks! \nKeynote: AI and Non-Epistemic Values. Insights from the Debate on Science and Values by Claus Beisbart (Bern University\, Switzerland)\nTo what extent do AI systems incorporate non-epistemic values\, such as moral values? And to what degree must they do so? To answer these questions\, I propose examining the debate on values in science. In this debate\, proponents of value-free science have tried to show that science can be kept free of non-epistemic values. Detractors have argued that this is neither possible nor desirable\, mainly drawing on Rudner’s argument. In this talk\, I will first summarize key insights and arguments from the debate on values in science. I’ll then draw consequences for the question of whether AI systems do\, or must\, incorporate tradeoffs between non-epistemic values. A key conclusion is that the answer depends on how AI is used. Some moves made in the debate on values in science can be used to propose uses of AI that minimize the impact of non-epistemic values. However\, it’s another question of whether such uses are feasible in practice. \nThursday September 25th\n10.15 – 10.30 Walk-in\n10.30 – 11.10 Talk by Shaoyu Han: “Accidental Hate Speech and the Extended Mind: Rethinking Epistemic Responsibility in AI-Generated Content”\n11.10 – 11.50 Talk by Johan Largo. Human-AI interaction\, epistemic credit and moral responsibility\n12.00 – 13.00 Lunch Break\n13.00 – 13.40 Talk by Hatice Tülün: “The Invisible Third: The Ethical and Epistemic Role of Recommender Systems in Mediated Social Interactions”\n13.40 – 14.20 Talk by Karim Barakat: “Algorithmic Censorship and the Public Sphere”\n14.20 – 14.40 Break\n14.40 – 15.40 Keynote by Eva Schmidt: “Engineering a Concept of AI Trustworthiness as Competence and Character”\n15.40 – 16.00 Coffee\nFrom 18.30 Dinner \nKeynote: Engineering a Concept of AI Trustworthiness as Competence and Character by Eva Schmidt (TU Dortmund\, Germany)\nIn their paper\, they critique two prominent views on AI trustworthniess: The skeptical view\, which holds that the concept of trustworthiness cannot be applied to AI systems\, and the reductive view\, which maintains that AI trustworthiness can be reduced to reliability\, competence\, or well-functioning. They contest both views by pointing out that something like good character or goodwill is highly relevant when interacting with AI systems. They then propose that AI systems are trustworthy for a stakeholder just in case they meet two conditions: (1) the system’s goals align with the stakeholder’s goals and (2) the system is competent in pursuing these goals. The concept of AI trustworthiness can\, if conceptualized in this way\, fulfill several theoretical and practical functions that cannot be fulfilled by the concept of reliability alone. This becomes apparent as soon as one takes the issue to be a conceptual engineering problem \nFriday September 26th\n09.45 – 10.00 Walk-in\n10.00 – 10.40 Talk by Joshua Hatherley: “Federation Opacity and the Promise of Federated Learning in Healthcare”\n10.40 – 11.20 Talk by Omkar Chattar: “What Is Phantom Trust? Ontology and Epistemology in AI Reliance”\n11.20 – 11.40 Break\n11.40 – 12.20 Talk by Eric Owens: “On Machines and Medical Schools: Machine Learning\, Epistemic Institutions and the Physician”\n12.20 – 13.30 Lunch Break\n13.30 – 14.30 Keynote by Karin Jongsma and Megan Milota: “Ethics\, Epistemology and Praxis: Making AI’s Impact on the Diagnostic Workflow Visible”\n14.30 Goodbye \nKeynote: Ethics\, Epistemology and Praxis: Making AI’s Impact on the Diagnostic Workflow Visible by Karin Jongsma and Megan Milota (UMC Utrecht\, The Netherlands)\nMachine learning and deep learning have proven to be particularly useful for pattern recognition. This may explain why the majority of current AI applications in medicine are used to aid image-based diagnostics in fields like radiology and pathology. In their interactions with these new technologies\, medical professionals will have to renegotiate their position and role in the digital transition; they will also have to critically consider what tasks they are willing to outsource to AI tools and which (new) competencies and expertise medical professionals need to responsibly use these technologies. \nWe conducted ethnographic work and produced an ethnographic film to study the ways in which AI influences the daily work of pathologists. The film shows the skills and knowledge pathologists and lab technicians require when conducting their work and provides a clearer image of the responsibilities they bear. In this session\, we will screen this film and will facilitate an interactive discussion of questions related to the ethics and epistemology of AI in image driven care. \nWorkshop Organisers Giorgia Pozzi\nTU Delft\nChirag Arora\nTU Delft\nJuan M. Durán\nTU Delft\nEmma-Jane Spencer\nErasmus MC & TU Delft
URL:https://mondai.tudelftcampus.nl/event/ethics-epistemology-of-ai/
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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