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X-WR-CALDESC:Events for MediaWell
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DTSTART:20260329T010000
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DTSTART;TZID=Europe/Helsinki:20260917T143000
DTEND;TZID=Europe/Helsinki:20260917T153000
DTSTAMP:20261024T082806
CREATED:20260903T152439Z
LAST-MODIFIED:20260903T152439Z
UID:517736-1789655400-1789659000@mediawell.ssrc.org
SUMMARY:Reject then launder: Catching AI Models validating extremist narratives in crisis | EU Disinfo Lab
DESCRIPTION:What happens when you ask AI chatbots about a crisis or terror attack? While models are programmed to block violent content\, real-world audits reveal a concerning phenomenon: “Reject then launder.” \nChatbots initially condemn the violence to pass safety filters\, only to immediately validate and whitewash the underlying extremist ideology in their response. Crucially\, this is not a real-time data gap where models simply lack confirmed facts during a breaking story. Through real-world case studies\, including an audit of nine frontier LLMs on the 2011 Norway terror attack and social feed dynamics from the Bondi Beach shooting\, this session proves the core issue is not a shortage of information\, but a fundamental flaw in how LLMs process and reason through ideology. \nIn this webinar\, speakers from Factiverse and SimPPL will dive into these real case study findings. Beyond LLM vulnerabilities\, the session will explore how unverified viral posts and faulty AI outputs rapidly become the “accepted record” during high-stakes crises\, providing practical\, cost-effective frameworks for researchers\, fact-checkers\, and policymakers to audit these environments. \nNote: Event details are listed in CEST (UTC+2).
URL:https://mediawell.ssrc.org/event/reject-then-launder-catching-ai-models-validating-extremist-narratives-in-crisis-eu-disinfo-lab/
LOCATION:Virtual
CATEGORIES:Webinar
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DTSTART;TZID=America/New_York:20260923T160000
DTEND;TZID=America/New_York:20260923T173000
DTSTAMP:20261024T082806
CREATED:20260806T190633Z
LAST-MODIFIED:20260806T190704Z
UID:517573-1790179200-1790184600@mediawell.ssrc.org
SUMMARY:Co-Opting AI: Archives
DESCRIPTION:Co-Opting AI: Archives will examine how archives and archiving—as infrastructure\, epistemology\, and social practice—relate to contemporary AI systems. \nThe session will be recorded for those who cannot attend live – make sure to register to receive notification when the video is available to view.
URL:https://mediawell.ssrc.org/event/co-opting-ai-archives/
LOCATION:Virtual
CATEGORIES:Webinar
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261009T140000
DTEND;TZID=America/New_York:20261009T150000
DTSTAMP:20261024T082806
CREATED:20260925T155833Z
LAST-MODIFIED:20260925T155833Z
UID:517922-1791554400-1791558000@mediawell.ssrc.org
SUMMARY:Refuse\, Resist\, Repair: Making Critical Moves in the Times of AI | DISCO Network
DESCRIPTION:A.I. is inevitable — at least\, that is what we would be led to believe from the nonstop media coverage\, podcast interviews with tech billionaires\, and the advertisements interspersed in our TikTok and Reels doomscrolling sessions. But what does it mean to bring a critical eye to Generative A.I.? Why should the average person care about how their data is used to fuel these systems? Who does the labor that makes them work? And what impact will this push to incorporate A.I. in the classroom\, healthcare\, politics\, and pop culture have on us as a society and on our environment? This panel considers three possibilities: refusal\, resistance\, and repair as responses to A.I.’s creep into our daily lives. \nThis event is open to the public\, and we encourage all interested faculty\, graduate students\, and undergraduate students to attend.
URL:https://mediawell.ssrc.org/event/refuse-resist-repair-making-critical-moves-in-the-times-of-ai-disco-network/
LOCATION:Virtual
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20261120T080000
DTEND;TZID=Europe/Amsterdam:20261120T170000
DTSTAMP:20261024T082806
CREATED:20261022T135158Z
LAST-MODIFIED:20261022T135158Z
UID:517937-1795161600-1795194000@mediawell.ssrc.org
SUMMARY:Unlocking Data: Exploring research opportunities on online platforms
DESCRIPTION:Academic research plays a critical role in shaping a safer online ecosystem. The Digital Services Act creates opportunities for researchers and NGOs to study online platforms in greater depth. In addition to publicly available information\, eligible researchers can gain access to non-public platform data under specific provisions of the Digital Services Act. During this webinar\, we will touch upon these topics together with some relevant experts.
URL:https://mediawell.ssrc.org/event/unlocking-data-exploring-research-opportunities-on-online-platforms/
LOCATION:Virtual
CATEGORIES:Webinar
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