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X-WR-CALDESC:Events for MediaFutures
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BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20260612T093000
DTEND;TZID=Europe/Oslo:20260612T140000
DTSTAMP:20260814T230205
CREATED:20260601T084634Z
LAST-MODIFIED:20260601T084634Z
UID:22970-1781256600-1781272800@mediafutures.no
SUMMARY:KIME seminar: From algomaxxing to AI influencers
DESCRIPTION:Welcome to a half-day seminar discussing new practices and phenomena emerging from the study of algorithms and artificial intelligence in culture and society. \n\n\n\nThe seminar will include talks from two visiting scholars doing research on cutting-edge phenomena in digital culture – algomaxxing and AI influencers – followed by a lunch discussion in which participants can receive and offer feedback on their own development of concepts and methods for the study of similar topics. \n  \nProgramme: \n09:30: Welcome & Introduction from KIME \n09:45: Talk by Idil Galip: Algomaxxing: Notes on cultural production after the algorithm \n10:45: Coffee break \n11:00: Talk by Alexandra Deem: Automating authenticity: The rise of AI influencers \n12:00: Lunch & discussion with the speakers: “Developing concepts and methods for the study of AI cultures” \n  \n\nThe seminar is hosted by the ALGOFOLK (Algorithmic folklore: The mutual shaping of vernacular creativity and automation) project at the Center for Digital Narrative\, and the Imagine (Citizen perceptions of AI in everyday media life) project at the Department of Information Science and Media Studies. The collaboration is funded by a grant from UiB’s strategy for the humanities\, on the topic of authenticity and digital media in an age of AI (KIME – Kunstig intelligens og autentisk medieinnhold). \nRead more about the event and register on the official organizer’s website. \nLunch is free for anyone who signs up to the seminar\, please find details on the official organizer’s website. \nContact person: Gabriele de Seta
URL:https://mediafutures.no/event/kime-seminar-from-algomaxxing-to-ai-influencers/
LOCATION:Center for Digital Narrative\, LG1 lounge (Langes gate 1-3)
CATEGORIES:Events
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DTSTART;TZID=Europe/Oslo:20260618T120000
DTEND;TZID=Europe/Oslo:20260618T130000
DTSTAMP:20260814T230205
CREATED:20260603T092951Z
LAST-MODIFIED:20260605T114947Z
UID:23016-1781784000-1781787600@mediafutures.no
SUMMARY:MediaFutures Series Seminar: Lucie Flek "From Framing to Alignment: Representing Human Worldviews in AI"
DESCRIPTION:MediaFutures warmly welcomes Lucie Flek’s talk on:\n“From Framing to Alignment: Representing Human Worldviews in AI”.\n\n\n\n\n\nDate: 18 June\nTime: 12:00-13:00\nVenue: MediaFutures HQ (3rd Floor\, Media City)\nZoom Link: https://uib.zoom.us/j/63914739737?pwd=ya3ezt9UXnAnsXs4pKrbpWRoxHZTAp.1\n\n\n  \nAbstract:\nEducational materials\, political discourse\, and online communities do more than communicate information: they express perspectives\, values\, and worldviews. In our information ecosystem\, these human representations are no longer only interpreted by people – they are also learned\, reproduced\, and transformed by AI systems.\nThis talk explores the connections between framing\, pluralism\, and AI alignment through the lens of representation. What does it mean for an AI system to represent a perspective? Can models capture diverse viewpoints without collapsing them into a single “average” position? And how should we think about alignment when values themselves are heterogeneous and contested?\nLucie Flek argues that many AI alignment challenges boil down to challenges of representation: whose perspectives are captured\, which values are privileged\, and whether our evaluation methods are even robust enough to evaluate and control these choices. \nSpeaker’s bio:\nLucie Flek is a full professor at the University of Bonn\, leading the Data Science and Language Technologies group. Her main interests lie in machine learning research for natural language processing (NLP)\, including AI robustness and safety. The application areas range from large language models and conversational systems\, across clinical NLP and mental health research\, to misinformation detection and social media analyses. Prof. Flek has been active both in academia and industry – she used to manage natural language understanding research programs in Amazon Alexa and contributed to the Google Shopping Search launch in Europe. Her academic work at the University of Pennsylvania and University College London revolved around user modeling from text\, and its applications in psychology and social sciences. Her PhD at TU Darmstadt focused on meaning ambiguity\, incorporating expert lexical-semantic resources into DNN classification tasks. She has served as Area Chair for Computational Social Sciences at numerous ACL* conferences\, and as an editor of the NLP section of multiple AI journals. Before her career path in natural language processing\, Prof. Flek has been contributing to particle physics research at CERN in the area of axion searches.
URL:https://mediafutures.no/event/mediafutures-series-seminar-lucie-flek-from-framing-to-alignment-representing-human-worldviews-in-ai/
LOCATION:MediaFutures HQ\, 3rd Floor\, Tower 1\, Media City\, Media Futures HQ\, 3rd floor\, Bergen\, 5008
CATEGORIES:Events,Seminar
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DTSTART;TZID=Europe/Oslo:20260811T110000
DTEND;TZID=Europe/Oslo:20260811T114500
DTSTAMP:20260814T230205
CREATED:20260624T114227Z
LAST-MODIFIED:20260805T141913Z
UID:23076-1786446000-1786448700@mediafutures.no
SUMMARY:Arendalsuka: "Responsible AI moving from research into practice in Norwegian news media"
DESCRIPTION:About the Event \nArtificial intelligence is transforming journalism and the media industry at an unprecedented pace\, creating both new opportunities and significant challenges. This event brings together researchers and industry partners from SFI MediaFutures to explore how responsible AI is moving from research into practice in Norwegian news media. \nMediaFutures Centre Leader Christoph Trattner\, Innovation Coordinator Christopher Senf\, and MediaFutures industry partners Schibsted Media AS\, Factiverse and Fatisk.no will present ongoing research\, real-world applications\, and discuss how AI can strengthen editorial practices\, support trustworthy journalism\, and help maintain public trust in an evolving digital landscape. \nOfficial Program website: https://www.arendalsuka.no/program/ansvarlig-ai-i-nyhetsmedier-fra-forskning-til-praksis  \nProgram & Speakers: \n\n11:00—11:02: Welcome & Intro (Christopher Senf\, SFI MediaFutures)\n11:02—11:07: Why responsible AI in news media matters now? (Christoph Trattner\, SFI MediaFutures)\n11:07—11:14: VITAL: Verifying health & lifestyle claims (Christoph Trattner and Tobias Wessel\, SFI MediaFutures)\n11:14—11:21: Tackling misinformation with AI (Gaute Kokkvoll\, Factiverse AS)\n11:21—11:28: AI-enabled detection of fake content (Runa Engen\, Faktisk.no)\n11:28—11:35: Videofy & SuperPod: AI and the Future of Responsible Liquid News (Anna Lunde\, Schibsted)\n11:35—11:45: Moderated Q&A: What must Norway build next? (All speakers\, moderated by Christopher Senf)
URL:https://mediafutures.no/event/arendalsuka-responsible-ai-moving-from-research-into-practice-in-norwegian-news-media/
LOCATION:Arendalsuka\, Kunstig Intelligens-teltet Kirkebakken 19\, Tyholmen\, Arendal\, Norway
CATEGORIES:Events
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BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20260912T111000
DTEND;TZID=Europe/Oslo:20260912T121000
DTSTAMP:20260814T230205
CREATED:20260811T093805Z
LAST-MODIFIED:20260813T080846Z
UID:23212-1789211400-1789215000@mediafutures.no
SUMMARY:PYData Seminar: Stop Early\, Decide Smarter: Bayesian Sequential Testing for LLM Benchmarking
DESCRIPTION:Ryan Marinelli will be holding a tutorial at PyData\, Amsterdam. \nEvaluating large language models is expensive. Standard benchmarking practices run fixed numbers of trials regardless of how quickly signal emerges\, wasting compute when differences are obvious and under-sampling when they are subtle. \nThis talk introduces Bayesian sequential stopping rules as a principled alternative. Rather than committing to a sample size upfront\, sequential methods continuously update a posterior over model performance and halt evaluation once sufficient evidence has accumulated\, or once further sampling is unlikely to change the conclusion. \nWe walk through the statistical foundations\, show how this framework applies to common benchmarking scenarios (accuracy comparisons\, pass@k\, agent task completion)\, and demonstrate a practical open-source Python implementation attendees can use immediately. Real benchmark datasets are used throughout to ground the approach. \nAudience: ML engineers\, researchers\, and data scientists who run model evaluations and care about making reliable comparisons without burning unnecessary compute. \nTakeaways: A conceptual understanding of sequential testing\, practical guidance on when and how to apply it\, and a working tool to take home. \nFixed-sample benchmarking is the default in NLP and LLM evaluation\, but it has two failure modes: it over-runs when models are clearly different early on\, and under-runs when tight comparisons require more evidence than the budget allows. Sequential hypothesis testing\, long standard in clinical trials and A/B testing\, offers a cleaner framework: keep sampling until a decision threshold is crossed\, or until a maximum budget is exhausted. \nThis talk applies that framework specifically to LLM and agent benchmarking and covers: \n\nThe statistical case: Why pass@k evaluation is often wasteful\, and what sequential Bayes factors and posterior stopping criteria offer instead\nDesign choices: Prior elicitation\, stopping thresholds\, and how to handle multi-model comparisons without inflating error rates\nPractical implementation: A walkthrough of a pip-installable Python package built on this framework\nLimitations and scope: When sequential testing helps\, when it doesn’t\, and how to sanity-check results\n\nThe talk is self-contained; attendees need only basic familiarity with probability and Python. \nOutline (30 min):\nMotivation: the cost of fixed-N benchmarking — 5 min\nSequential testing foundations (Bayes factors\, stopping rules) — 8 min\nDemo: the Python package on real benchmark data — 10 min\nDesign guidance\, edge cases\, and Q&A — 7 min
URL:https://mediafutures.no/event/pydata-seminar-stop-early-decide-smarter-bayesian-sequential-testing-for-llm-benchmarking/
LOCATION:NDSM-Plein 85 1033 WC Amsterdam\, NDSM-Plein 85 1033 WC Amsterdam\, Netherlands
CATEGORIES:Events
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BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20261105T130000
DTEND;TZID=Europe/Oslo:20261106T180000
DTSTAMP:20260814T230205
CREATED:20260710T123111Z
LAST-MODIFIED:20260804T130953Z
UID:23101-1793883600-1793988000@mediafutures.no
SUMMARY:Annual Meeting 26: Our public flagship conference
DESCRIPTION:Keep the date in your calendars! We are underway in planning the Annual Meeting for 2026! Please see the preliminary schedule below\, final program will be confirmed closer to the date.  \nThursday\, 5 November – Venue: Media City\n\n\n\n\nTime \n\n\nProgram \n\n\nDetails \n\n\n\n\n\n\n13:00–13:15 \n\n\nWelcome & framing \n\n\nChristopher Senf (MediaFutures) with Media Cluster Norway. Aims for the afternoon. \n\n\n\n\n13:15–14:00 \n\n\nSession A — Liquid content & journalism-as-a-service \n\n\nPaired industry + research talks (e.g. Schibsted / TV 2 with an Audience Understanding & Personalisation talk). \n\n\n\n\n14:00–14:30 \n\n\nTable discussion & project ideation \n\n\nFacilitated groups; capture concrete collaboration ideas. \n\n\n\n\n14:30–14:50 \n\n\nCoffee break \n\n\n  \n\n\n\n\n14:50–15:35 \n\n\nSession B — Young audiences\, trust & AI transparency \n\n\nPaired talks (e.g. Amedia / Bergens Tidende with a Curated Information Frameworks talk). \n\n\n\n\n15:35–16:00 \n\n\nTable discussion \n\n\nPriorities and open questions per group. \n\n\n\n\n16:00–16:15 \n\n\nCoffee break \n\n\n  \n\n\n\n\n16:15–16:55 \n\n\nSession C — Verification\, fact-checking & content moderation \n\n\nPaired talks (e.g. Faktisk.no / Factiverse with a moderation-research talk). \n\n\n\n\n16:55–17:30 \n\n\nWrap-up: shared priorities & next steps \n\n\nSynthesis of table outputs; commitments and follow-ups. \n\n\n\n\n19:30 \n\n\nConference Dinner \n\n\nROAST\, Scandic Ørnen  (separate registration) \n\n\n\n\nFriday\, 6 November – Venue: Scandic Ørnen\n\n\n\n\n08:15–09:00 \n\n\nRegistration & morning coffee \n\n\n  \n\n\n\n\n09:00–09:15 \n\n\nWelcome & opening \n\n\nChristoph Trattner — Director\, SFI MediaFutures \n\n\n\n\n09:15–09:55 \n\n\nKeynote 1 + Q&A \n\n\nProf. Claes de Vreese (University of Amsterdam) — AI\, public trust and the future of democracy  confirmed \n\n\n\n\n09:55–10:35 \n\n\nKeynote 2 + Q&A \n\n\nEzra Eeman (Director of Strategy & Innovation\, NPO) — AI and the transformation of media business models  confirmed \n\n\n\n\n10:35–11:00 \n\n\nCoffee break \n\n\n  \n\n\n\n\n11:00–12:00 \n\n\nSession 1 — AI & the Newsroom3 talks (15 min each) + joint Q&A \n\n\n• JC Lopez (Schibsted News Media) — AI & liquid news  confirmed• France TV — Skander Ben Attia (CTO) / director-level  confirmed• Prof. Johanna Pirker (TU Munich) — AI\, VR\, HCI & gamification  confirmed \n\n\n\n\n12:00–13:00 \n\n\nLunch \n\n\n  \n\n\n\n\n13:00–14:00 \n\n\nSession 2 — AI\, Verification & Trust3 talks (15 min each) + joint Q&A \n\n\n• Prof. Andreas Vlachos (Cambridge) — ML & automated fact-checking  confirmed• Maria Amelie (Factiverse)  TBC• BBC Verify —Kayleen Devlin  confirmed \n\n\n\n\n14:00–14:20 \n\n\nCoffee break \n\n\n  \n\n\n\n\n14:20–15:20 \n\n\nSession 3 — AI Safety & Democratic Impact3 talks (15 min each) + joint Q&A \n\n\n• Stuart Jennings (AI Security Institute; prev. BBC)  confirmed• Florent Daudens (Mizal AI; prev. Hugging Face)  TBC • Talk 3 — open slot; suggested: Sam Gregory (WITNESS) — provenance & synthetic-media authenticity  open slot — see notes \n\n\n\n\n15:20–15:40 \n\n\nCoffee break \n\n\n  \n\n\n\n\n15:40–16:40 \n\n\nPanel — Nordic News Media AICompany pitches + moderated debate \n\n\n15:40 — Company pitches (MediaFutures industry partners)  partners TBD16:00 — Moderated debateModerator TBC \n\n\n\n\n16:40–16:55 \n\n\nRefreshment break \n\n\n  \n\n\n\n\n16:55–17:40 \n\n\nDemo & Poster Session \n\n\n16:55 — Live demos · 17:15 — Poster pitches (lightning) \n\n\n\n\n17:40–18:15 \n\n\nNetworking reception \n\n\nDrinks; posters and demos remain open. \n\n\n\n\n18:15–18:30 \n\n\nPoster Awards & closing \n\n\nChristoph Trattner \n\n\n\n\n18:30 \n\n\nEnd of conference program \n\n\n  \n\n\n\n\n 
URL:https://mediafutures.no/event/annual-meeting-26-our-public-flagship-conference/
LOCATION:Scandic Ørnen\, Bergen
CATEGORIES:Events
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