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X-WR-CALDESC:Events for MediaFutures
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SUMMARY:Winter School at the Northern Lights Deep Learning (NLDL) Conference
DESCRIPTION:MediaFutures associate professor Samia Touileb will be speaker at the Winter School at the Northern Lights Deep Learning (NLDL) Conference 2026!  \nThe NLDL Winter School consists of tutorials by experts in the field and is co-hosted by NORA as part of the NORA Research School. \nFor registration\, please use https://www.nldl.org/attend/registration \nGetting formal ECTS Credits: UiT The Arctic University of Norway will award 5 ECTS for the Winter School to students who register formally for the course (the number of spots is limited to 40 students).   \n\n\nTo register for the 5 ECTS credits use the following link: https://en.uit.no/admission#kapittel_735916 \n\n\nThe course description and the course code are available at: https://uit.no/utdanning/emner/emne/862218/fys-8603 \n\n\nPlease note that the application deadline is 15 November\, which means that you will receive a confirmation of admission a week after the deadline\, i.e.\, 25 November. \n\n\nFor credits\, the participants are required to present an ongoing research project (poster presentation) as part of the winter school and complete a home exam afterward. For students early in their PhD without an ongoing research project can present their PhD research objective and future project as a poster.  \n\n\nNote that the poster presentation is part of the NLDL Winter School and not part of the NLDL proceedings. The posters should be in A0 Portrait format. \n\n\nPosters can be printed locally via Xtenso. If you want to use this service\, the poster should be sent to mette@xtenso.no by 20th December. The cost for poster printing is 750 NOK.  \n\n\nTouilebs research focuses on alignment\, bias and fairness in NLP\, information extraction\, summarization\, and the application of NLP and machine learning in social science contexts. Her tutorial will address the main sources of bias in NLP systems\, existing frameworks for fairness\, safety concerns\, and current debates about alignment: \nTutorial 4: Ethical challenges in NLP\nWhile AI systems have shown remarkable progress in recent years they raise various ethical challenges. In this tutorial\, we will explore this ethical dimension with a particular focus on bias\, fairness\, and alignment in Natural Language Processing (NLP). The tutorial will combine theoretical discussions with practical examples. We will discuss the main sources of bias in NLP systems\, existing frameworks for fairness\, safety concerns\, and current debates about alignment. We will have a practical\, hands-on\, session to demonstrate how bias and other safety concerns manifest in modern NLP models\, and how to critically evaluate them and reduce them. 
URL:https://mediafutures.no/event/winter-school-at-the-northern-lights-deep-learning-nldl-conference/
LOCATION:UiT Campus
CATEGORIES:Seminar
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DTSTART;TZID=Europe/Oslo:20260121T120000
DTEND;TZID=Europe/Oslo:20260121T130000
DTSTAMP:20260420T062251
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LAST-MODIFIED:20260119T125453Z
UID:22161-1768996800-1769000400@mediafutures.no
SUMMARY:Adhera Health Seminar: AI as Family Media for Health and Wellbeing: Personalization\, Context\, and Biopsychosocial Perspectives
DESCRIPTION:MediaFutures invites to Adhera Health’s seminar on AI as family media for health and wellbeing. \nAdhera Health is a digital health company that creates AI-powered\, personalized support platforms and programs to empower families and caregivers managing pediatric chronic conditions\, improve treatment adherence and wellbeing\, and enhance health outcomes through evidence-based digital interventions. \nAI as Family Media for Health and Wellbeing: Personalization\, Context\, and Biopsychosocial Perspectives\n\nAbstract\nFamilies today must navigate a complex landscape of health and wellbeing information\, often facing waves of misinformation and conflicting guidance. Artificial intelligence can act as a media and communication technology that supports families in interpreting information\, building trust\, and making informed decisions\, while respecting individual and family-level differences. \nModern personalized health communication increasingly relies on context-aware systems that adapt content to family routines\, beliefs\, and emotional dynamics. Such systems must carefully balance challenges including reducing stigma\, respecting the autonomy of different family members\, and delivering sensitive content that addresses diverse needs and perspectives. These systems integrate clinical data\, psychosocial factors\, and personal preferences to generate adaptive\, multimodal educational materials\, behavioral guidance\, and emotional support.  \nA biopsychosocial perspective is central\, recognizing that effective AI-mediated interventions consider biological\, psychological\, and social dimensions of health. Pediatrics represents a prime testing ground for these approaches\, given the need for sensitive\, high-stakes communication and the limited research on AI-mediated personalized family support in this context.  \nDrawing on ongoing research with Adhera Health (USA and Spain) and the University of Bergen\, we present examples of AI-mediated communication that complement human care\, helping families navigate complex health information responsibly\, foster trust\, and support wellbeing in ethically and emotionally informed ways.  \nSpeaker bio\nLuis Fernández-Luque is Chief Scientific Officer at Adhera Health\, where he leads R&D activities in Spain and the USA\, including projects funded by the European Commission and NIH\, as well as partnerships with healthcare providers and pharmaceutical companies across Europe and the United States.  \nSince 2006\, Luis has conducted pioneering research in mobile health\, wearable devices\, and AI-driven health applications\, including deep learning and health recommender systems. His work sits at the intersection of computer science and behavioral change\, combining human factors research with AI to deliver personalized\, trustworthy\, and effective digital health interventions. He has led and contributed to international research projects on diabetes and obesity in adult and pediatric populations across Europe\, North America\, and Asia. He earned his PhD at the University of Tromsø\, exploring strategies to identify trustworthy content for people with chronic conditions\, and collaborated during his PhD with GroupLens (University of Minnesota)\, the CDC\, and Microsoft Research.  \nLuis has extensive experience in research management\, including serving as PI and co-PI on large-scale projects and mentoring PhD students. He is a senior member of the IEEE Engineering in Medicine and Biology Society and has held leadership roles in top scientific societies. He has authored over 150 publications\, many of which address the intersection of AI\, behavioral science\, and digital health in chronic disease management. 
URL:https://mediafutures.no/event/adhera-health-seminar-ai-as-family-media-for-health-and-wellbeing-personalization-context-and-biopsychosocial-perspectives/
LOCATION:MediaFutures\, Media Futures HQ\, 3rd floor\, Bergen\, 5008
CATEGORIES:Events,Seminar
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