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UID:21862-1773388800-1800205200@wasp-hs.org
SUMMARY:AI and The Paradox of Agency
DESCRIPTION:Who holds the power when AI enters our lives? AI and the Paradox of Agency is curated by  Sarah Cook\, WASP-HS Guest Professor\, and Museum Director Katarina Pierre\, and features new commissions by international artists\, from interactive games and immersive installations to sculptures and a drone-read hand-painted textile. \nThe exhibition is open between 13 March\, 2026 and 17 January 2027. \nArtists: boredomresearch\, Tega Brain\, Dennis Delgado\, Linda Dounia Rebeiz\, Alexandra Daisy Ginsberg\, Nicolas Gourault\, Zeno Gries\, Lawrence Lek\, Rachel Maclean\, Stephen Marche\, Lauren Lee McCarthy\, Florian Model\, Yuri Pattison\, Planetary Portals\, Raqs Media Collective\, Daniel Shanken\, Caroline Sinders & Romy Gad el Rab\, Paola Torres Núñez del Prado\, and Addie Wagenknecht. Curators: Sarah Cook and Katarina Pierre. \nAI and the Paradox of Agency is produced by Bildmuseet at Umeå University with support from the Jacob Wallenberg Foundation and WASP-HS (Wallenberg AI\, Autonomous Systems and Software Program – Humanity and Society). \n			\n				Read more
URL:https://wasp-hs.org/event3/ai-and-the-paradox-of-agency/
LOCATION:Bildmuseet
ATTACH;FMTTYPE=image/jpeg:https://wasp-hs.org/wp-content/uploads/2026/03/AI-and-the-Paradox-of-Agency.jpg
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DTSTART;TZID=Europe/Stockholm:20260605T131500
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UID:23096-1780665300-1780678800@wasp-hs.org
SUMMARY:Navigating Uncertain Futures – Sensemaking with AI in Complex System Planning
DESCRIPTION:Elinor Särner defends her doctoral thesis\, “Repairing Creative AI: Critical explorations of frictions\, reconfigurations\, and reflexivity“\, on June 5\, 2026\, at Linköping University. \nSee event page. \nAbstract\nTechnological development is an integral part of human life that both shape and is shaped by society. In today’s volatile society\, anticipating and interpreting emerging changes is crucial to face future challenges. The predictive abilities of Artificial Intelligence (AI) can support planning in such conditions. Yet AI adoption remains slow in sectors such as energy systems\, and urban development\, which are characterized by entangled dependencies\, critical social services\, and multiple involved actors and stakeholders\, making planning and management challenging. This thesis addresses key questions about how AI\, which relies on historical data\, can support future-oriented planning processes in such complex systems. From an innovation management point of view\, AI integration is organizationally challenging\, shaped by interacting internal and external dynamics – such as tasks\, workflows\, technical prerequisites\, and societal trends – calling for a holistic socio-technical perspective to ensure feasibility and desirability. \nThis thesis promotes “cooperative intelligence” emphasizing humans’ and AI’s reciprocal dependencies. AI-integration in complex system planning relies on collective sensemaking\, especially in the process of constructing meaning of potential futures and identifying possible actions to shape those futures. AI’s predictive ability can guide the navigation of uncertainty and ambiguity in this process and contribute as boundary objects in mediating meaning across domain and organizational boundaries. However\, it can also embed historic conditions and introduce new uncertainties. This duality calls for conscious involvement and negotiation among diverse actors. \nThis thesis sets out to explore how humans together with AI make sense of potential futures in complex system planning building on two empirical studies in the Swedish energy sector. The first study follows the development of an AI-prototype to assist planning of energy systems in new city districts. The second study investigates the implementation of an AI-tool to assess impacts of societal trends on the future energy system. \nThe thesis contributes to existing literature by informing how AI connects temporal dynamics of imagination and action in human-AI cooperation\, how it reconfigures cross-boundary collaboration\, develops the notion of intelligent boundary objects\, and how organizational structures need to evolve. It contributes to innovation management research\, detailing how AI-integration shapes prospective sensemaking and strengthens organizational planning capabilities. \nSee full thesis. \nSupervisors\nAnna Yström\, Professor at the Department of Management and Engineering\, Linköping UniversitySusanne Ollila\, Professor\, Entrepreneurship and Strategy\, Technology Management and Economics \nOpponent\nKirsimarja Blomqvist\, Professor of Knowledge Management\, LUT University Business School
URL:https://wasp-hs.org/event3/navigating-uncertain-futures-sensemaking-with-ai-in-complex-system-planning/
ATTACH;FMTTYPE=image/jpeg:https://wasp-hs.org/wp-content/uploads/2026/06/Elinor-Sarner-PhD-Defence.jpg
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