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UID:pretalx-sips2026-dc-JGXREE@pretalx.com
DTSTART;TZID=EST:20260608T160000
DTEND;TZID=EST:20260608T170000
DESCRIPTION:The movement toward open science is driven by the idea of radic
 al transparency. Frameworks such as the OSF enable researchers to share da
 ta\, materials\, and ideas openly\, fostering collaboration\, efficiency\,
  and reproducibility. At the same time\, the rapid rise of AI presents bot
 h opportunities and challenges for this vision. Open datasets can accelera
 te discovery\, support new forms of analysis\, and power AI-driven tools f
 or scientific progress. However\, these same resources may be used to trai
 n models without researchers’ knowledge or consent\, while preprint repo
 sitories may increasingly host rapidly generated and unevenly vetted work.
 \n\nThese developments prompt an important conversation about the future o
 f open science. How can we preserve openness while addressing emerging ris
 ks? What norms\, infrastructures\, or safeguards can ensure transparency s
 upports responsible research? Should we rethink openness or adapt it to a 
 changing technological landscape? This raises a key question: what is the 
 future of open science in an AI-enabled world?
DTSTAMP:20260524T192127Z
LOCATION:AUDITORIUM
SUMMARY:Keynote Day 1: Open Science and the Impact of AI - Crystal N. Stelt
 enpohl\, Daniel Morillo\, Kailey Lawson
URL:https://pretalx.com/sips2026-dc/talk/JGXREE/
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